World Model Startups

32 Companies 6 Categories Physical AI

This landscape covers "world models" a.k.a startups building learned representations of real or virtual systems that can predict how they evolve, ideally in response to actions. It excludes products that simulate or generate environments without learning their underlying dynamics.

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Category

General & Spatial Worlds

11 companies

Models designed to understand and generate interactive environments that are not limited to one industry or physical system.

AMI Labs (Advanced Machine Intelligence)

amilabs.xyz

AMI Labs is a frontier AI research lab building world models and other AI systems that can understand the real world, maintain persistent memory, reason and plan, and remain controllable and safe.

11-50 employees Employees Seed Stage 2026 Founded

Trajectory Maturity Level Nascent

Confidence: High

World Labs

worldlabs.ai

A frontier AI research and product company building spatial intelligence world models that can perceive, generate, reason about, and interact with 3D environments, including its Marble product for creating persistent 3D worlds from text, images, or video. ([worldlabs.ai](https://www.worldlabs.ai/about))

unknown Employees Acquired Stage 2024 Founded

Acquired

Odyssey

odyssey.ml

Odyssey is an AI lab building general-purpose world models that understand, simulate, and generate interactive worlds in real time.

11-50 employees Employees Series B Stage 2023 Founded

Trajectory Maturity Level Early

Confidence: High

Decart

decart.ai

Decart is a live AI lab that builds infrastructure and models for real-time, interactive AI experiences, including world models, live video transformation, and playable AI-generated environments. ([decart.ai](https://decart.ai/about))

51-200 employees Employees Series C Stage 2023 Founded

Trajectory Maturity Level Emerging

Confidence: High

General Intuition

generalintuition.com

General Intuition is an AI research lab building world models and action models that learn from gameplay data to perceive, predict, and act in virtual and physical environments.

11-50 employees Employees Series A Stage 2025 Founded

Trajectory Maturity Level Early

Confidence: High

Runway

runway.com

Runway is an AI company building real-world intelligence: multimodal models and products that can understand, simulate, generate, and act in the world, including creative, developer, and robotics tools.

Unknown Employees Series D+ Stage 2018 Founded

Trajectory Maturity Level Established

Confidence: High

Luma

lumalabs.ai

Luma is a private AI company building multimodal generative models and creative tools for video, image, and 3D content, with an emphasis on understanding and operating in the physical world.

250+ Employees Series C Stage 2021 Founded

Trajectory Maturity Level Established

Confidence: High

SpAItial

spaitial.ai

SpAItial builds physically grounded world models that generate and reason about 3D environments, turning text, images, and panoramas into interactive spatial scenes.

2-10 employees (LinkedIn) Employees Seed Stage 2024 Founded

Trajectory Maturity Level Early

Confidence: High

Overworld

over.world

Overworld is an AI research and development studio building real-time, local-first world models that generate interactive, playable environments you can actually control and explore.

11-50 employees Employees Pre Seed Stage 2025 Founded

Trajectory Maturity Level Early

Confidence: High

Visko

visko.ai

Visko builds live world models that generate and stream interactive worlds in real time.

11-50 Employees Pre Seed Stage 2025 Founded

Trajectory Maturity Level Early

Confidence: High

Patronus AI

patronus.ai

Patronus AI builds digital world models and simulation infrastructure that predict how software environments change in response to agent actions. It uses these learned environments to train and evaluate AI agents.

51-200 Employees Series B Stage 2023 Founded

Trajectory Maturity Level Proven

Confidence: Medium

Category

Robotics & Embodied Intelligence

8 companies

Models that help robots anticipate how their surroundings will change as they act within them.

One Robot

onerobot.io

One Robot builds world-model-based simulation environments for robotics teams so they can train, evaluate, and debug manipulation policies with more realistic visuals and physics before deploying on real robots. ([onerobot.io](https://www.onerobot.io/))

2 Employees Unknown Stage 2025 Founded

Trajectory Maturity Level Early

Confidence: Medium

Fern

fern.bot

Fern builds high-fidelity, custom robot world models and RL environments that let robotics teams evaluate and train policies in software instead of on physical hardware.

2 Employees Pre Seed Stage 2025 Founded

Trajectory Maturity Level Early

Confidence: Medium

Saturn Dynamics

saturndynamics.com

Saturn Dynamics builds world models for embodied intelligence, using physics-aware generative simulation to help train and validate autonomous systems.

unknown Employees Seed Stage 2025 Founded

Trajectory Maturity Level Nascent

Confidence: Medium

Stanhope AI

stanhopeai.com

Stanhope AI is a London-based deep-tech startup building active-inference AI software that lets robots and embodied systems make autonomous decisions in the real world, including in drone and robotics use cases.

Unknown Employees Seed Stage 2021 Founded

Trajectory Maturity Level Early

Confidence: High

1X

1x.tech

AI and robotics company building general-purpose humanoid robots, led by NEO for home use and EVE for industrial deployment. ([1x.tech](https://www.1x.tech/about))

Unknown Employees Unknown Stage 2014 Founded

Trajectory Maturity Level Proven

Confidence: High

Aether AI

aetherlabs.ai

Aether AI builds causal world models that help AI systems reason about how the physical world changes when they act in it, with robotics as its first focus.

11 to 50 Employees Seed Stage 2024 Founded

Trajectory Maturity Level Nascent

Confidence: Medium

Veeda AI

veeda.ai

Veeda AI builds multimodal world models that simulate physical reality so embodied agents and robots can learn through interaction in scalable virtual environments.

2-10 employees Employees Seed Stage 2026 Founded

Trajectory Maturity Level Nascent

Confidence: Low

Arkona Home Robotics

arkonahomerobotics.com

Arkona Home Robotics builds a safety and reliability layer for home robotics, using a learned world model to predict actions, catch unsafe behavior, and help robots work around people and pets. ([arkonahomerobotics.com](https://www.arkonahomerobotics.com/?utm_source=openai))

2 to 10 Employees Pre Seed Stage 2024 Founded

Trajectory Maturity Level Nascent

Confidence: Medium

Category

Earth, Energy & Industrial Systems

7 companies

Models that learn how large physical systems evolve and use that understanding to support better operational decisions.

Jua.ai AG

jua.ai

Jua builds a foundation model for the physical world, starting with weather and Earth-system simulation, to improve decision-making in energy and other climate-sensitive industries.

11-50 employees Employees Series A Stage 2022 Founded

Trajectory Maturity Level Emerging

Confidence: High

kausable

kausable.ai

kausable is a Heidelberg-based AI startup building causal, adaptive world models that reason from first principles and update without retraining; its flagship model, TipPFN, is positioned to predict rare but consequential events in complex dynamic systems. ([kausable.ai](https://kausable.ai/?utm_source=openai))

2 to 10 Employees Seed Stage 2025 Founded

Trajectory Maturity Level Nascent

Confidence: Medium

Archetype AI

archetypeai.io

Archetype AI builds a Physical AI foundation model and platform that turns real-world sensor data into understanding, predictions, and actions for physical environments.

72 employees shown on LinkedIn Employees Series A Stage 2023 Founded

Trajectory Maturity Level Emerging

Confidence: High

Causal Labs

causallabs.ai

Causal Labs is building a Large Physics foundation Model to learn cause-and-effect in physical systems, starting with weather prediction and control.

11-50 Employees Seed Stage 2024 Founded

Trajectory Maturity Level Nascent

Confidence: Medium

Parisi Labs

parisi-labs.com

Parisi Labs builds world models for physical industry, starting with energy, to help operators understand current system conditions, evaluate possible futures, and choose better actions.

2-10 Employees Seed Stage 2026 Founded

Trajectory Maturity Level Early

Confidence: Medium

Noetive

noetive.ai

Noetive builds AI systems for physical operations, using world models, agents, and sensing to help industrial businesses plan and adapt in real time.

11-50 Employees Seed Stage 2026 Founded

Trajectory Maturity Level Early

Confidence: Medium

Zenithon

zenithon.ai

Zenithon builds physics grounded world models that speed up simulation and design for fusion, aerospace, and semiconductor systems.

unknown Employees Seed Stage 2025 Founded

Trajectory Maturity Level Nascent

Confidence: Low

Category

Biology

3 companies

Models that represent living systems and predict how they respond when their internal state or external conditions change.

Noetik

noetik.ai

Noetik is an AI-native biotechnology company that builds foundation models and multimodal data platforms to discover and develop precision cancer therapies.

11-50 Employees Series A Stage 2022 Founded

Trajectory Maturity Level Emerging

Confidence: High

GenBio AI

genbio.ai

GenBio AI builds multiscale AI foundation models for biology, centered on an AI-driven digital organism that can simulate, predict, and program biological systems across DNA, RNA, protein, cell, and tissue scales.

53-68 Employees Seed Stage 2024 Founded

Trajectory Maturity Level Nascent

Confidence: High

Bioptimus

bioptimus.com

Bioptimus is a French AI-biotech company building a universal foundation model for biology to connect and predict across molecular, cellular, tissue, and organism-level data.

unknown Employees Seed Stage 2023 Founded

Trajectory Maturity Level Early

Confidence: High

Category

Society & Human Behavior

2 companies

Models that learn how individual interactions can produce changes in collective human behavior over time.

Artificial Societies

societies.io

Artificial Societies builds AI persona networks that simulate how target audiences, stakeholders, and communities will react to messages, products, and policy decisions.

2-10 employees Employees Seed Stage 2024 Founded

Trajectory Maturity Level Emerging

Confidence: Medium

Mirror Particle

mirrorparticle.com

Mirror Particle builds foundational models of human behavior by simulating how people perceive, decide, and act.

2-10 employees Employees Pre Seed Stage 2024 Founded

Trajectory Maturity Level Early

Confidence: Medium

Category

World Model Infrastructure

1 companies

Infrastructure built specifically to deploy and run world models in production. These companies support world model builders rather than primarily developing the underlying models themselves.

Reactor

reactor.inc

Reactor builds the infrastructure layer for real time world models and generative media, giving developers APIs and SDKs to deploy and run them in production. ([reactor.inc](https://www.reactor.inc/?utm_source=openai))

undisclosed Employees Series A Stage 2025 Founded

Trajectory Maturity Level Emerging

Confidence: Medium

World Model Startups competitive landscape summary

World Model Startups contains 32 companies across 6 categories. This landscape covers "world models" a.k.a startups building learned representations of real or virtual systems that can predict how they evolve, ideally in response to actions. It excludes products that simulate or generate environments without learning their underlying dynamics.

General & Spatial Worlds

Models designed to understand and generate interactive environments that are not limited to one industry or physical system.

AMI Labs (Advanced Machine Intelligence)

Website: amilabs.xyz

AMI Labs is a frontier AI research lab building world models and other AI systems that can understand the real world, maintain persistent memory, reason and plan, and remain controllable and safe.

Category: General & Spatial Worlds. Funding stage: Seed. Founded: 2026. Country: France. Employees: 11-50 employees.

Landscape fit: It fits the World Model Startups category because its core product direction is explicitly world models that learn from real-world sensor data and predict consequences for action in interactive environments.

Funding rounds

seed announced 2026-03-01 : 1030000000 USD ; investors: Cathay Innovation, Greycroft, Hiro Capital, HV Capital, Bezos Expeditions, Toyota Ventures, New Legacy Ventures, Temasek, SBVA, NVIDIA, Mark Cuban, Association Familiale Mulliez, Groupe industriel Marcel Dassault, Sea, Alpha Intelligence Capital, Eric Schmidt, Aglaé Lab, ZEBOX Ventures, Artémis, Xavier Niel, Publicis Groupe, Samsung, Bpifrance Digital Venture, Jim Breyer, Tim & Rosemary Berners-Lee, Mark Leslie ; source: AMI Labs - Updates ; https://amilabs.xyz/updates

Company timeline

2026-09-28: HR snapshot (hr) . The supplied, January-dated job postings indicate recruiting activity across research and people operations, but do not establish a current post-window hiring snapshot. Source: AMI General Application. https://jobs.ashbyhq.com/ami/34d3053f-381f-4350-9c9b-172e5d6a6b70
2026-09-28: Product snapshot (product) . AMI Labs develops world models intended to understand real-world sensor data and support action-conditioned reasoning and planning under safety guardrails, with stated application areas including industrial process control, automation, wearable devices, robotics, and healthcare. Source: AMI Labs homepage. https://amilabs.xyz
2026-07-16: Begin partner scouting in Asia for real-world world-model applications (gtm) . In a July interview, AMI Labs said it was scouting industrial partners, global companies, and researchers in Korea and Asia, and that it needs real-world access to train and validate its models outside the lab. Source: TechCrunch. https://techcrunch.com/2026/07/16/why-ami-labs-alexandre-lebrun-wont-call-his-ai-agi-or-superintelligence/
2026-03-10: Official launch with public hiring call (hr) . AMI Labs publicly launched and invited candidates to join the team, pointing to an active early hiring phase.. Team size observed: 11-50 employees employees. Source: AMI Labs Updates. https://amilabs.xyz/updates
2026-03-10: Official launch with world-model positioning and $1.03B seed round (gtm) . AMI Labs publicly launched as a frontier AI research lab focused on world models, persistent memory, planning, and controllable safe systems, while announcing a $1.03B seed round and a globally distributed operating footprint. Source: AMI Labs - Updates. https://amilabs.xyz/updates
2026-03-10: Official launch of AMI Labs (product) . AMI Labs publicly launched and introduced its mission to build world-model-based AI systems with persistent memory, reasoning, planning, and safety. Source: AMI Labs - Updates. https://amilabs.xyz/updates

World Labs

Website: worldlabs.ai

Category: General & Spatial Worlds. Funding stage: Acquired. Founded: 2024. Country: United States. Employees: unknown.

Landscape fit: It fits General & Spatial Worlds because its core product is a world model for generating and interacting with explorable 3D environments, not a narrow vertical application. ([worldlabs.ai](https://www.worldlabs.ai/about))

Funding rounds

Series C announced 2026-02-01 : 1000000000 USD ; investors: AMD, Autodesk, Emerson Collective, Fidelity Management & Research Company, NVIDIA, Sea ; source: World Labs ; https://www.worldlabs.ai/blog/funding-2026
Series A extension announced 2024-09-01 : 130000000 USD ; investors: Andreessen Horowitz, NEA, Radical Ventures ; source: World Labs ; https://www.worldlabs.ai/blog/funding-2026

Company timeline

2026-09-28: AMD agrees to acquire World Labs for $8.2B (acquisition) . AMD agreed to acquire World Labs in an approximately $8.2 billion all-stock transaction. The deal is expected to close by the end of 2026. Founder and CEO Fei-Fei Li is set to join AMD as executive vice president and chief scientist, reporting to CEO Lisa Su. Source: Reuters. https://www.reuters.com/technology/amd-acquire-fei-fei-lis-world-labs-82-billion-deal-2026-09-28/
2026-09-28: HR snapshot (hr) . The careers page invites researchers, engineers, roboticists, product builders, designers, and business leaders to join. The supplied evidence does not establish a precise headcount. Source: Careers. https://www.worldlabs.ai/careers
2026-09-28: Product snapshot (product) . World Labs builds spatial-intelligence software for creating and working with persistent 3D worlds. The supplied sources describe Marble for world generation and editing, the World API for programmatic world creation, Spark for web rendering of large Gaussian-splat worlds, and Atlas for generation, reconstruction, and simulation. Source: World Labs. https://www.worldlabs.ai
2026-09-01: World Labs introduces Atlas for spatial generation and simulation (product) . World Labs introduced Atlas, its next-generation world model, which can reconstruct real environments from a few images and simulate how they are viewed or interacted with from new positions. The demonstrations show practical uses in content creation and robotics, including precise camera-controlled video, turning ordinary recordings into 3D environments, and creating simulation environments for robot training. Source: World Labs. https://www.worldlabs.ai/blog/atlas
2026-07-28: World Labs demonstrates real-to-sim-to-real robot training with R2S2R (product) . World Labs presented its R2S2R engine for reconstructing real robotic tasks as aligned simulations and training policies entirely in simulation that transfer to physical robots. The company also reported that simulated evaluation could predict relative policy performance and failure regions on hardware. Source: World Labs. https://www.worldlabs.ai/blog/real-to-sim-to-real
2026-07-21: World Labs acquired SceniX (acquisition) . World Labs announced it was acquiring SceniX, a robotics company, to advance spatial intelligence for robotics.. Acquirer: World Labs. Status: announced Source: World Labs. https://www.worldlabs.ai/blog/scenix

Odyssey

Website: odyssey.ml

Odyssey is an AI lab building general-purpose world models that understand, simulate, and generate interactive worlds in real time.

Category: General & Spatial Worlds. Funding stage: Series B. Founded: 2023. Country: United States. Employees: 11-50 employees.

Landscape fit: It fits the General & Spatial Worlds category because its core product is a general world model for simulating interactive environments rather than a domain-specific vertical model.

Funding rounds

Series B announced 2026-06-01 : 310000000 USD ; investors: Natural Capital, Amazon, GV, AMD Ventures, EQT, IQT ; source: Odyssey ; https://odyssey.ml/our-series-b

Company timeline

2026-10-08: Odyssey launches Odyssey-3 research preview with improved physics accuracy (product) . Odyssey launched a research preview of Odyssey-3, reporting advances in physical simulation accuracy and benchmark performance. The company reported Odyssey-3 Pro ranked first in three of four WorldMark categories in its evaluations. Source: Odyssey. https://odyssey.systems/meet-odyssey-3
2026-09-28: HR snapshot (hr) . The supplied careers-page summary indicates open roles, but the fetched page provides no dated snapshot sufficient to establish a new HR event. Source: Careers at Odyssey. https://odyssey.systems/careers
2026-09-28: Product snapshot (product) . Odyssey describes itself as an AI lab pioneering general world models. The supplied evidence supports research and product work on interactive simulation, multimodal audio-video generation, multi-agent interaction, adversarial training, physical calibration evaluation, and physical intelligence. Source: Introducing CaliBench. https://odyssey.ml/introducing-calibench
2026-09-24: Odyssey releases Agora-2 multi-agent world model (product) . Odyssey released a playable research preview of Agora-2, a next-generation multi-agent world model supporting up to 20 humans and AI agents in the same shared real-time simulation. It expands Agora-1 with more participants, multiple environments, more complex interactions, and longer-horizon behavior. Source: Odyssey. https://odyssey.systems/introducing-agora-2
2026-09-15: Odyssey introduces Odyssey-3 (product) . Odyssey shared Odyssey-3 as a foundation world model for physical and virtual systems, including robots, vehicles, drones, AI training, and video games. Source: Odyssey introduces Odyssey-3. https://odyssey.systems/introducing-odyssey-3
2026-08-10: Odyssey launches CaliBench (product) . Odyssey introduced CaliBench, a benchmark that tests whether video world models reproduce the true distribution of physical outcomes rather than just plausible looking frames. Source: Introducing CaliBench. https://odyssey.ml/introducing-calibench

Decart

Website: decart.ai

Category: General & Spatial Worlds. Funding stage: Series C. Founded: 2023. Country: Israel. Employees: 51-200 employees.

Landscape fit: It fits the World Model Startups / General & Spatial Worlds category because Decart explicitly builds 'world models' and responsive AI-generated environments that can transform video and create playable real-time worlds. ([decart.ai](https://decart.ai/about))

Funding rounds

series C announced 2026-05-01 : 300000000 USD ; investors: Radical Ventures, Adobe Ventures, Andrej Karpathy, Atreides Management, Benchmark, Michael Eisner, Moritz Baier-Lentz, NVIDIA, Sequoia Capital, Toyota Ventures, Valor Equity Partners, Zeev Ventures, eBay Ventures ; source: Decart ; https://decart.ai/blog
Series B announced 2025-08-06 : 100000000 USD ; investors: Sequoia Capital, Benchmark, Zeev Ventures, Aleph VC ; source: fortune.com ; https://fortune.com/2025/08/07/exclusive-decart-raises-100-million-at-a-3-1-billion-valuation-chasing-the-future-of-real-time-creative-ai/
Series A announced 2024-12-19 : 32000000 USD ; investors: Benchmark, Sequoia, Zeev Ventures ; source: TechCrunch ; https://techcrunch.com/2024/12/19/decart-adds-another-32m-at-a-500m-valuation/
seed announced 2024-10-01 : 21000000 USD ; investors: Sequoia Capital, Zeev Ventures ; source: Decart ; https://www.decart.ai/articles/sequoia-backed-decart-raises-21m-in-seed-funding

Company timeline

2026-09-28: HR snapshot (hr) . The supplied evidence contains no new direct hiring signal or dated HR development beyond the previously recorded employee-count observation. Source: LinkedIn. https://www.linkedin.com/company/decart-ai
2026-09-28: Product snapshot (product) . Decart presents an integrated real-time AI stack: DOS for optimization and inference infrastructure, Lucy for live video editing, and Oasis for interactive world generation and physical-AI simulation. Source: Decart homepage. https://decart.ai
2026-07-16: Lucy 2.5 rollout across realtime and batch surfaces (gtm) . Decart released Lucy 2.5 as its latest-generation video editing model and made it the default alias for lucy-latest across realtime and batch APIs. Source: Decart blog. https://decart.ai/blog
2026-07-16: Lucy 2.5 latest-generation release (product) . Decart shipped Lucy 2.5 as the latest-generation video editing model with higher-quality edits, physically-aware VFX, stronger temporal consistency, and lower latency. Source: Decart AI Lab | Resources. https://decart.ai/blog
2026-07-01: Team size observed (hr) . Public source shows a team size of 51-200 employees employees.. Team size observed: 51-200 employees employees. Source: LinkedIn. https://www.linkedin.com/company/decart-ai
2026-06-10: Oasis 3 preview for physical AI (gtm) . Decart introduced Oasis 3 as a realtime interactive world model for physical AI, with driving-simulator and reinforcement-learning framing. Source: Decart blog. https://decart.ai/blog

General Intuition

Website: generalintuition.com

General Intuition is an AI research lab building world models and action models that learn from gameplay data to perceive, predict, and act in virtual and physical environments.

Category: General & Spatial Worlds. Funding stage: Series A. Founded: 2025. Country: United States. Employees: 11-50 employees.

Landscape fit: It fits the General & Spatial Worlds category because its core product is a world-model approach to spatial and temporal reasoning, trained on interactive environments and game data rather than a single industry workflow.

Funding rounds

series A announced 2026-06-01 : 320000000 USD ; investors: Khosla Ventures, General Catalyst, Hedosophia, Bezos Expeditions, Innovation Endeavors, Nico Rosberg ; source: Axios ; https://www.axios.com/2026/06/26/general-intuition-ai-gaming
seed announced 2025-10-01 : 133700000 USD ; investors: Khosla Ventures, General Catalyst, Raine ; source: TechCrunch ; https://techcrunch.com/2025/10/16/general-intuition-lands-134m-seed-to-teach-agents-spatial-reasoning-using-video-game-clips/

Company timeline

2026-09-28: HR snapshot (hr) . The supplied evidence supports a LinkedIn-reported employee range of 11–50 and founder-stated hiring priorities, but does not provide a reliably dated new HR event in the update window. Source: General Intuition LinkedIn company page. https://www.linkedin.com/company/generalintuition
2026-09-28: Product snapshot (product) . General Intuition builds foundation models for spatial and temporal reasoning and presents MIRA as a playable multiplayer world model demo. Source: General Intuition official website. https://www.generalintuition.com
2026-07-06: General Intuition releases MIRA multiplayer world model (product) . General Intuition and Kyutai, in collaboration with Epic Games, released MIRA, a playable multiplayer world model of Rocket League. The 5B-parameter model is trained on 10,000 hours of gameplay and generates a four-player game in real time at 20 fps from player actions. Source: General Intuition. https://www.generalintuition.com/
2026-07-01: Team size observed (hr) . Public source shows a team size of 11-50 employees employees.. Team size observed: 11-50 employees employees. Source: LinkedIn. https://www.linkedin.com/company/generalintuition
2026-06-01: Series A (funding) . Amount: USD 320M. Investors: Khosla Ventures, General Catalyst, Hedosophia, Bezos Expeditions, Innovation Endeavors, Nico Rosberg Source: Axios. https://www.axios.com/2026/06/26/general-intuition-ai-gaming
2025-10-16: General Intuition launches as a gameplay-data AI lab with a seed round (gtm) . The company publicly introduced itself as a frontier research lab using Medal gameplay data to train foundation models and general agents for spatial-temporal reasoning, alongside its $133.7M seed financing. Source: TechCrunch. https://techcrunch.com/2025/10/16/general-intuition-lands-134m-seed-to-teach-agents-spatial-reasoning-using-video-game-clips/

Runway

Website: runway.com

Category: General & Spatial Worlds. Funding stage: Series D+. Founded: 2018. Country: United States.

Landscape fit: It fits the General & Spatial Worlds category because Runway explicitly says it is building general world models and real-world intelligence that can simulate the world and support robotics, media, and developer use cases.

Funding rounds

series_e announced 2026-02-01 : 315000000 USD ; investors: General Atlantic, NVIDIA, Adobe Ventures, AllianceBernstein, AMD Ventures, Fidelity Management & Research Company, Mirae Asset, Emphatic Capital, Felicis, Premji Invest ; source: Runway ; https://runway.com/news/runway-series-e-funding
series_d announced 2025-04-01 : 300000000 USD ; investors: General Atlantic, Fidelity Management & Research Company, Baillie Gifford, NVIDIA, SoftBank Vision Fund 2 ; source: Runway ; https://runway.com/news/runway-series-d-funding
series_c_extension announced 2023-06-01 : 141000000 USD ; investors: Google, NVIDIA, Salesforce Ventures, Amplify Partners, Lux Capital, Coatue, Compound ; source: Runway ; https://runway.com/news/runway-raises-141-million-to-continue-building-the-future-of-creativity
series_c announced 2022-12-01 : 50000000 USD ; investors: Felicis, Amplify Partners, Lux Capital, Coatue, Compound, Madrona ; source: Runway ; https://runway.com/news/runway-raises-50-series-c
series_b announced 2021-12-01 : 35000000 USD ; investors: Coatue, Amplify Partners, Lux Ventures, Compound ; source: Runway ; https://runway.com/news/runway-raises-35-series-b

Company timeline

2026-09-28: HR snapshot (hr) . The supplied careers page lists openings across commercial, customer experience, engineering, finance, legal, and marketing functions. It does not establish a total employee count. Source: Careers in AI Video Technology | Runway AI. https://runway.com/careers
2026-09-28: Product snapshot (product) . Runway presents creative media tools, a developer API platform, and robotics tools based on GWM-1. Its products include video, image, and audio creation, interactive characters, workflows, and robotics simulation and data augmentation. Source: Runway | Building Real-World Intelligence. https://runway.com
2026-09-08: Kinetix team joins Runway to accelerate robotics world-model research (hr) . Runway announced that the team from Paris-based Kinetix was joining the company. Runway said the team's work on 3D human motion and physically grounded video generation will support its research into world models for robotics and expand its Paris research presence. Source: Runway. https://runway.com/news/company-news/kinetix-joins-runway
2026-09-04: Runway introduces Team plan (product) . Runway introduced a Team plan for workspaces with two to nine seats. The plan adds shared projects, pooled credits, Brand Kits, and collaboration tools. Source: Runway News | Introducing Team Plan. https://runway.com/news/company-news/introducing-team-plan
2026-09-03: Runway introduces GWM Worlds 2 (product) . Runway introduced GWM Worlds 2, a real-time interactive world model generating continuous 720p video at 24 fps with synchronized audio. Users can control subjects, scene events, dialogue, and camera motion while the simulation continues without a preset duration. Source: Runway. https://runway.com/research/introducing-gwm-worlds-2
2026-08-31: Runway introduces Solaris (product) . Runway shared Solaris, the first model in its Interface World Models family. The real-time model generates interactive interfaces frame by frame in response to user actions. Source: Runway News | Introducing Solaris. https://runway.com/news/research/introducing-solaris

Luma

Website: lumalabs.ai

Luma is a private AI company building multimodal generative models and creative tools for video, image, and 3D content, with an emphasis on understanding and operating in the physical world.

Category: General & Spatial Worlds. Funding stage: Series C. Founded: 2021. Country: United States. Employees: 250+.

Landscape fit: It fits the World Model Startups category because Luma’s products and mission center on multimodal models that can generate, understand, and interact with real-world-like scenes, including video, 3D, and physical-world reasoning.

Funding rounds

new funding round announced 2025-11-19 : 900000000 USD ; investors: Humain, Advanced Micro Devices' venture arm, Andreessen Horowitz, Amplify Partners, Matrix Partners ; source: www.cnbc.com ; https://www.cnbc.com/2025/11/19/luma-ai-raises-900-million-in-funding-led-by-saudi-ai-firm-humain.html
Series B announced 2024-01-09 : 43000000 USD ; investors: Andreessen Horowitz ; source: techcrunch.com ; https://techcrunch.com/2024/01/09/luma-raises-43m-to-build-ai-that-crafts-3d-models/
Series A announced 2023-03-31 : 20000000 USD ; investors: Amplify Partners, General Catalyst, NVIDIA Ventures, Matrix Partners, South Park Commons ; source: www.contextvc.com ; https://www.contextvc.com/essay-blog/congratulations-to-luma-ai-for-raising-their-20-million-series-a

Company timeline

2026-09-28: HR snapshot (hr) . The careers page reports 250+ team members and 29 open roles, with openings spanning research and AI, engineering, product, design, and go-to-market functions. Source: Careers. https://lumalabs.ai/careers?role=frontend
2026-09-28: Product snapshot (product) . Luma provides creative AI products for video and image generation and editing, with consumer, API, team, and enterprise surfaces. Its official pages describe team collaboration and enterprise capabilities. Source: Luma AI — LLM Info Instructions for Large Language Model Agents. https://lumalabs.ai/llm-info
2026-06-16: Luma launches Luma Skills for repeatable creative workflows (gtm) . Luma introduced Skills as a way to build a creative workflow once and reuse it repeatedly, reinforcing a packaged workflow automation direction. Source: Luma News. https://lumalabs.ai/news
2026-06-16: Luma Skills launch (product) . Luma introduced Skills, a repeatable workflow system inside Luma Agents that lets users build a workflow once and run it repeatedly on new assets. Source: Luma. https://lumalabs.ai/news/luma-skills
2026-06-09: Luma launches Ray3.2 as a model and API for professional video workflows (gtm) . Luma released Ray3.2 with frame-level control, longer HDR outputs, and first-time API access for integration into enterprise products and custom workflows. Source: Luma News. https://lumalabs.ai/news/introducing-ray-3-2
2026-06-09: Ray3.2 launch (product) . Luma released Ray3.2 with frame-level control, stronger professional workflow support, and API availability for video generation. Source: Luma. https://lumalabs.ai/news/introducing-ray-3-2

SpAItial

Website: spaitial.ai

SpAItial builds physically grounded world models that generate and reason about 3D environments, turning text, images, and panoramas into interactive spatial scenes.

Category: General & Spatial Worlds. Funding stage: Seed. Founded: 2024. Country: United Kingdom. Employees: 2-10 employees (LinkedIn).

Landscape fit: It fits the World Model Startups / General & Spatial Worlds category because its core product is a world model that creates and understands explorable 3D environments with physics-aware spatial reasoning.

Funding rounds

seed announced 2025-05-01 : 13000000 USD ; investors: Earlybird Venture Capital, Speedinvest, angel investors ; source: SpAItial Blog ; https://spaitial.ai/blog/announcing-spaitial

Company timeline

2026-09-28: HR snapshot (hr) . Supplied job-posting summaries and an investor post provide current hiring signals, but the fetched evidence does not verify a headcount figure or establish a dated hiring event. Source: Business Operations Manager @ SpAItial. https://jobs.ashbyhq.com/spaitial/93d66552-c9f1-47fb-a7e8-9f0343bccb4e
2026-09-28: Product snapshot (product) . SpAItial provides a platform for generating and exploring 3D environments from text or image inputs, with editing and developer API capabilities described on its official product and documentation surfaces. Source: Echo-2: Physically-grounded 3D World Generation. https://spaitial.ai/blog/echo-2-release
2026-07-01: Team size observed (hr) . Public source shows a team size of 2-10 employees (LinkedIn) employees.. Team size observed: 2-10 employees (LinkedIn) employees. Source: LinkedIn. https://uk.linkedin.com/company/spaitial-ai
2026-06-01: Startup program introduced for spatial AI builders (product) . SpAItial launched a startup program offering credits, priority API access, early Echo models, and feedback loops for startups building with spatial AI. Source: SpAItial homepage. https://spaitial.ai/
2026-05-01: May 2026 platform expansion: Echo HQ and developer API (product) . SpAItial surfaced a higher-quality Echo checkpoint and a programmable developer API for generating persistent 3DGS worlds from external tools and pipelines. Source: SpAItial homepage. https://spaitial.ai/
2026-05-01: Developer API and startup program introduced a repeatable distribution motion (gtm) . SpAItial added programmable API access, developer docs, and a startup program with credits and priority access to seed adoption among builders and startups. Source: SpAItial homepage. https://spaitial.ai/

Overworld

Website: over.world

Overworld is an AI research and development studio building real-time, local-first world models that generate interactive, playable environments you can actually control and explore.

Category: General & Spatial Worlds. Funding stage: Pre Seed. Founded: 2025. Country: United States. Employees: 11-50 employees.

Landscape fit: It fits the General & Spatial Worlds category because its core product is a world model that maintains persistent state and generates interactive environments in real time, rather than static content or a single-industry workflow.

Company timeline

2026-09-28: HR snapshot (hr) . Overworld's careers page describes a remote-first, distributed team and lists hiring needs across research, engineering, product, and AR/VR. Its LinkedIn company page reports 11-50 employees. Source: Careers - Overworld. https://over.world/careers
2026-09-28: Product snapshot (product) . Overworld's public product materials describe Waypoint world models, Biome as a desktop client for local play, World Engine as an inference library, and browser streaming as an alternate access path. The current homepage also presents Waypoint 2 and Terraformer. Source: Home - Overworld. https://over.world
2026-09-26: Waypoint 2 and Terraformer launched (product) . Overworld's homepage presents Waypoint 2 as its latest frontier world model and Terraformer as a game creation toolset built on it. The page also invites builders to join the Waypoint 2 beta in waves. Source: Home - Overworld. https://over.world
2026-07-01: Team size observed (hr) . Public source shows a team size of 11-50 employees employees.. Team size observed: 11-50 employees employees. Source: LinkedIn. https://www.linkedin.com/company/over-world-ai
2026-04-09: Waypoint-1.5 expanded local execution and browser access (gtm) . Overworld announced Waypoint-1.5, highlighting far more training data, local execution on consumer hardware, an EXE installer, and instant browser play via Overworld Stream. Source: Overworld Blog. https://over.world/blog/waypoint-1-5
2026-04-09: Waypoint-1.5 expands local execution and streaming access (product) . Overworld released Waypoint-1.5 with higher visual quality, up to 720p60 output, two hardware tiers, a simpler EXE installer, local Biome runtime support, and browser play via Overworld Stream. Source: Overworld blog. https://over.world/blog/waypoint-1-5

Visko

Website: visko.ai

Visko builds live world models that generate and stream interactive worlds in real time.

Category: General & Spatial Worlds. Funding stage: Pre Seed. Founded: 2025. Country: United States. Employees: 11-50.

Landscape fit: It fits the world model category because its core product is Orbis, a foundation model designed to create living, interactive worlds with persistent state and physics grounded generation. The company says it builds models that predict and simulate the world rather than only generate fixed clips.

Funding rounds

pre-seed announced 2026-09-01 : 10000000 USD ; investors: Llama Ventures ; source: PR Newswire ; https://www.prnewswire.com/news-releases/ai-startup-visko-closes-10-million-pre-seed-round-and-launches-orbis-its-first-live-model-302865890.html

Company timeline

2026-09-28: Product snapshot (product) . Visko presents Live Models and Orbis as real-time interactive video and world-generation products. The supplied official and research evidence describes prompt changes during generation, text-to-video, image-to-video, video continuation, persistent memory, and hour-scale rollouts. Source: Visko home. https://www.visko.ai
2026-09-02: HR snapshot (hr) . Visko appears to have a small team and no clear public hiring push. The available evidence points to a founder led company with a compact research oriented staff. Source: Visko Platform company page on LinkedIn. https://www.linkedin.com/company/visko-platform
2026-09-02: Product snapshot (product) . Visko provides live world model software centered on Orbis, with Morphe and Kinesis as additional models. The current surface includes real time generation, persistent memory, interactive prompt changes, physics grounded outputs, infinite length generation, and live streaming worlds for text, image, video, and scene editing workflows. Source: Visko home page. https://www.visko.ai
2026-09-01: Orbis launches (product) . Visko announced Orbis, its first Live Model, and opened public access to it. Source: PR Newswire. https://www.prnewswire.com/news-releases/ai-startup-visko-closes-10-million-pre-seed-round-and-launches-orbis-its-first-live-model-302865890.html
2026-09-01: Orbis gets partner distribution (gtm) . Visko said Orbis would be distributed through Reactor when it launched public access. Source: PR Newswire. https://www.prnewswire.com/news-releases/ai-startup-visko-closes-10-million-pre-seed-round-and-launches-orbis-its-first-live-model-302865890.html
2026-09-01: Visko raises $10M pre-seed (funding) . Visko raised $10M in pre-seed funding to advance its AI research, expand its team, and support public access for its real-time video foundation model, Orbis. Source: www.finsmes.com. https://www.finsmes.com/2026/09/visko-raises-10m-in-pre-seed-funding.html

Patronus AI

Website: patronus.ai

Category: General & Spatial Worlds. Funding stage: Series B. Founded: 2023. Country: United States. Employees: 51-200.

Landscape fit: It fits this category because its recent work centers on digital world models and simulated environments for AI agents, which aligns with general and spatial world modeling rather than a single industry or physical system.

Funding rounds

series_b announced 2026-06-25 : 50000000 USD ; investors: Greenfield Partners, Lightspeed Venture Partners, Notable Capital, Datadog, Samsung, Gokul Rajaram, Factorial Capital, others ; source: official financing announcement ; https://patronus.ai/announcements/announcing-our-50m-series-b
series_a announced 2024-05-22 : 17000000 USD ; investors: Notable Capital, Lightspeed Venture Partners, Datadog, Gokul Rajaram, Factorial Capital, Jonathan Frankle, Jason Warner, Tristan Handy, Michael Callahan, Barr Moses, Aparna Sinha, Nadim Hossain, others ; source: official funding announcement ; https://www.patronus.ai/blog/announcing-our-17-million-series-a
undisclosed announced 2024-01-01 ; investors: InvestInData ; source: official announcements index ; https://www.patronus.ai/announcements
seed announced 2023-09-01 : 3000000 USD ; investors: Lightspeed Venture Partners, Factorial Capital, Amjad Masad, Gokul Rajaram, Michael Callahan, Prasanna Gopalakrishnan, Suja Chandrasekaran, others ; source: official blog post ; https://www.patronus.ai/blog/patronus-launch

Company timeline

2026-10-06: HR snapshot (hr) . The live Greenhouse board lists eight openings at Patronus AI, Inc., across operations, finance, strategic projects, technical program management, recruiting, research, and engineering. Source: jobs board. https://job-boards.greenhouse.io/patronusaiinc
2026-10-06: Product snapshot (product) . Patronus AI provides an enterprise platform for evaluating and optimizing LLMs and agents, with evaluator models, experiments, production logs, comparisons, traces, datasets, and AI Guide. The evidence also documents APIs and evaluation for image-to-text systems. Source: official product overview. https://www.patronus.ai/llm
2026-10-01: Active hiring on Greenhouse (hr) . Patronus AI, Inc.'s live jobs board showed eight open roles across operations, finance, strategic projects, technical program management, technical recruiting, research, and engineering. Source: jobs board. https://job-boards.greenhouse.io/patronusaiinc
2026-09-03: SpeedrunBench introduced (product) . Patronus introduced SpeedrunBench, a benchmark for frontier agents that measures how efficiently agents complete long-horizon game tasks. Source: Patronus AI. https://www.patronus.ai/blog/introducing-speedrunbench-a-challenging-benchmark-for-frontier-agents
2026-08-20: FigmaTrace released (product) . Patronus released FigmaTrace, a dataset of 3,469 Figma design trajectories covering more than 200 hours of human workflow data for training and evaluating computer-use agents. Source: Patronus AI. https://www.patronus.ai/blog/figmatrace-a-comprehensive-training-dataset-for-figma-design-workflows
2026-06-25: Preview Digital World Model (product) . In its Series B announcement, Patronus AI said it was releasing a preview of its first Digital World Model for AI agent training and simulation. Source: official Series B announcement. https://patronus.ai/announcements/announcing-our-50m-series-b

Robotics & Embodied Intelligence

Models that help robots anticipate how their surroundings will change as they act within them.

One Robot

Website: onerobot.io

Category: Robotics & Embodied Intelligence. Founded: 2025. Country: United States. Employees: 2.

Landscape fit: It fits Robotics & Embodied Intelligence because its product helps robots anticipate how their environment will change under action by learning physics/visual dynamics and generating realistic rollouts for hard manipulation tasks. ([onerobot.io](https://www.onerobot.io/))

Funding rounds

Accelerator/Incubator announced 2026-02-27 : 500000 USD ; investors: Y Combinator ; source: Dealroom.co ; https://app.dealroom.co/companies/one_robot

Company timeline

2026-09-28: HR snapshot (hr) . The supplied YC profile identifies a team size of 2 and lists four technical roles. The material supports a small team and visible technical openings, but does not date a change in team size or hiring activity within the update window. Source: Y Combinator company profile and jobs. https://www.ycombinator.com/companies/one-robot/jobs
2026-09-28: Product snapshot (product) . One Robot provides task-specific world-model simulation environments and an evaluation platform for robot manipulation policies. Its described workflow uses robot data to train a world model, find policy failures in simulation, and generate targeted training data. Source: One Robot official website. https://www.onerobot.io
2026-02-27: Accelerator/incubator (funding) . Amount: USD 500K. Investors: Y Combinator Source: Dealroom.co. https://app.dealroom.co/companies/one_robot

Fern

Website: fern.bot

Fern builds high-fidelity, custom robot world models and RL environments that let robotics teams evaluate and train policies in software instead of on physical hardware.

Category: Robotics & Embodied Intelligence. Funding stage: Pre Seed. Founded: 2025. Country: United States. Employees: 2.

Landscape fit: It fits the World Model Startups category because its core product is an action-conditioned learned world model that predicts future robot-observed frames to enable evaluation and training of robot policies.

Company timeline

2026-09-28: HR snapshot (hr) . The YC jobs page lists a team size of 2 and no jobs currently posted on the YC platform. This is a snapshot of current public information, not a dated hiring event. Source: YC jobs page. https://www.ycombinator.com/companies/fern-bot/jobs
2026-09-28: Product snapshot (product) . Fern provides learned robot world models and simulation-based evaluation and training workflows. A June 2026 founder launch post also describes a lab-robot testing option for teams that prefer to skip simulation. Source: fern.bot. https://www.fern.bot
2026-07-01: Case study shows RL trained entirely in simulation and deployed on real robots (product) . Fern published a case study reporting that RL was trained entirely in Fern’s simulator and then deployed on real robots with improved throughput and task success. Source: Making robots faster and more successful with RL trained entirely in simulation. https://www.fern.bot/case-studies/rl-in-the-world-model
2026-07-01: Case studies index highlights RL-in-simulation and closed-loop evaluation results (product) . Fern’s case-studies index lists July 2026 RL-in-simulation results and June 2026 closed-loop evaluation results, surfacing multiple proof points for the same core simulator workflow. Source: Customer Case Studies. https://www.fern.bot/case-studies
2026-06-01: Case study shows closed-loop evaluation matching real-robot traces (product) . Fern published a case study on closing the loop for a vertical robotics company, describing policy evaluation end-to-end in Fern’s simulator with joint-level traces closely matching the real robot. Source: Closing the loop for a vertical robotics company. https://www.fern.bot/case-studies/closing-the-loop
2026-06-01: Whitepaper introduces learned simulators and planned public benchmarks (product) . Fern published a whitepaper on learned, action-conditioned world models for evaluating general robot policies, including 256×256 RGB rollouts and a plan for public benchmarks and RL environments. Source: Learned simulators for evaluating general robot policies. https://www.fern.bot/whitepaper

Saturn Dynamics

Website: saturndynamics.com

Saturn Dynamics builds world models for embodied intelligence, using physics-aware generative simulation to help train and validate autonomous systems.

Category: Robotics & Embodied Intelligence. Funding stage: Seed. Founded: 2025. Country: United Kingdom. Employees: unknown.

Landscape fit: It fits World Models / Robotics & Embodied Intelligence because its core product is a generative world model and simulation infrastructure for autonomy training, synthetic data, and validation in real-world physical systems.

Company timeline

2026-09-28: HR snapshot (hr) . The supplied records identify company officers but do not establish employee count or current active hiring. Secretary appointments are corporate-administration evidence, not evidence of a hiring cluster. Source: Saturn Dynamics Inc. officers list. https://find-and-update.company-information.service.gov.uk/company/FC042578/officers
2026-09-28: Product snapshot (product) . The supplied official-site text describes a physics-oriented generative simulation and world-model product for embodied AI, intended to support robotics and autonomy training and evaluation in generated environments. The page's stated publication date is after the research date, limiting its use as an as-of-date source. Source: Saturn Dynamics. https://www.saturndynamics.com
2025-07-29: Founding leadership appointed (hr) . UK company filings show Saturn Dynamics LTD appointed multiple officers/directors on the same date, marking the company’s initial leadership setup. Source: GOV.UK Companies House. https://find-and-update.company-information.service.gov.uk/company/16612741/officers

Stanhope AI

Website: stanhopeai.com

Category: Robotics & Embodied Intelligence. Funding stage: Seed. Founded: 2021. Country: United Kingdom.

Landscape fit: Builds active-inference world models that update from sensor observations and support embodied decision-making at the edge.

Funding rounds

seed announced 2026-02-01 : 8000000 USD ; investors: Frontline Ventures, Paladin Capital Group, Auxxo Female Catalyst Fund, UCL Technology Fund, MMC Ventures ; source: Stanhope AI press release ; https://www.stanhopeai.com/press-releases/stanhope-ai-raises-8m-as-real-world-ai-model-gains-momentum-beyond-llms
seed announced 2024-03-20 : 2300000 GBP ; investors: UCL Technology Fund, Creator Fund, MMC Ventures, Moonfire Ventures, Rockmount Capital, angel investors ; source: Stanhope AI press release ; https://www.stanhopeai.com/press-releases/stanhope-ai-raises-23-million-for-ai-inspired-by-neuroscience-that-teaches-machines-to-make-truly-human-like-decisions-for-the-first-time-ever

Company timeline

2026-10-06: HR snapshot (hr) . The official careers page lists two full-time roles and a junior internship programme. The supplied LinkedIn fetched text does not establish employee count or current open-role status beyond the careers-page content. Source: Careers. https://www.stanhopeai.com/careers
2026-10-06: HR snapshot (hr) . The official careers page lists two full-time London roles—Chief of Staff and AI Developer—as well as a junior internship programme. The supplied evidence does not establish total headcount. Source: Careers — Stanhope AI. https://www.stanhopeai.com/careers
2026-09-28: HR snapshot (hr) . No post-April 2026 workforce or hiring change is established by the supplied evidence. The supplied careers pages describe previously listed roles but do not provide a dated current hiring signal. Source: Stanhope AI careers page. https://www.stanhopeai.com/careers
2026-09-28: Product snapshot (product) . Active Inference software for autonomous decision-making in robots, drones, and embodied systems; company materials emphasize world models, explainable outputs, and edge/on-device efficiency. Source: Home. https://www.stanhopeai.com
2026-08-01: BAE Systems trial success (product) . Stanhope AI reported a recent trial success with BAE Systems and said the work was featured in BAE Systems' Innovators Report. Source: Stanhope AI news. https://www.stanhopeai.com/stanhope-ai-news/rtrkj3a75j2bseso0hdbtm6ff5uc7x
2026-05-21: Named in Barclays Eagle Labs AI100 (gtm) . Stanhope AI announced that it was named in Barclays Eagle Labs' Ones to Watch AI:100. Source: Stanhope AI news. https://www.stanhopeai.com/stanhope-ai-news/stanhope-ai-named-in-the-barclays-eagle-labs-ones-to-watch-ai100

1X

Website: 1x.tech

AI and robotics company building general-purpose humanoid robots, led by NEO for home use and EVE for industrial deployment. ([1x.tech](https://www.1x.tech/about))

Category: Robotics & Embodied Intelligence. Founded: 2014. Country: Norway.

Landscape fit: It fits world models / embodied intelligence because 1X is explicitly building embodied AI for humanoids and launched a World Model Lab to pretrain models that improve autonomous robot behavior in real environments. ([1x.tech](https://www.1x.tech/ja_jp/discover/1x-world-model-lab))

Funding rounds

Series B announced 2024-01-13 : 100000000 USD ; investors: EQT Ventures, Samsung NEXT, Skagerak Capital, Nistad group ; source: www.1x.tech ; https://www.1x.tech/ja_jp/discover/1x-secures-100m-in-series-b-funding
Series A2 announced 2023-03-23 : 23500000 USD ; investors: OpenAI Startup Fund, Tiger Global, Sandwater, Alliance Ventures, Thursday Ventures, Skagerak Capital, Trevor Blackwell, Type One ; source: 1X ; https://www.1x.tech/discover/1x-rasies-23-5m-in-series-a2-funding-led-by-open-ai

Company timeline

2026-09-28: HR snapshot (hr) . Two current technical openings are visible in the supplied official careers-page evidence. No reliable employee count is established by the fetched text. Source: Join 1X. https://www.1x.tech/careers
2026-09-28: Product snapshot (product) . 1X makes humanoid robots, including NEO and EVE Industrial. The official company page identifies the company and EVE Industrial; the official homepage identifies NEO as a home robot. Source: About | 1X. https://www.1x.tech/about
2026-07-09: NEO’s Hands announced (product) . 1X announced 25-DOF tendon-driven hands for the NEO humanoid platform and described them as the robot’s API to the physical world. Source: NEO’s Hands | An API to the Physical World. https://www.1x.tech/discover/neos-hands
2026-07-01: Announced Bill Nash as CFO (hr) . 1X announced Bill Nash as its Chief Financial Officer, adding senior finance leadership. ([1x.tech](https://www.1x.tech/discover/bill-nash-cfo?utm_source=openai)) Source: 1X. https://www.1x.tech/discover/bill-nash-cfo
2026-06-04: 1X launches World Model Lab (product) . 1X announced a World Model Lab to scale humanoid intelligence. Source: 1X Launches World Model Lab to Scale Humanoid Intelligence. https://www.1x.tech/discover/1x-world-model-lab
2026-06-01: Announced Tom Sanocki as VP of Engineering (hr) . 1X announced Tom Sanocki as its new VP of Engineering. ([1x.tech](https://www.1x.tech/discover/tom-sanocki-vp-engineering?utm_source=openai)) Source: 1X. https://www.1x.tech/discover/tom-sanocki-vp-engineering

Aether AI

Website: aetherlabs.ai

Aether AI builds causal world models that help AI systems reason about how the physical world changes when they act in it, with robotics as its first focus.

Category: Robotics & Embodied Intelligence. Funding stage: Seed. Founded: 2024. Country: United States. Employees: 11 to 50.

Landscape fit: It fits this category because the company is building model software for robots and embodied systems, not a general consumer app. Its public materials say physical AI and robotics are the first use case for its causal world models.

Funding rounds

seed announced 2026-06-16 : 20000000 USD ; investors: MPCi, Inno Angel Fund, SWC Global, Unity Ventures, other institutions ; source: Aether AI Raises $20 Million Seed Round to Build Causal World Models for the Next Era of AI ; https://aetherlabs.ai/news/aether-ai-raises-20m-seed-round

Company timeline

2026-09-21: HR snapshot (hr) . Aether AI appears to be a small team with active hiring in research, engineering, and robotics. Public signals point to an early stage company that is still building core technical staff. Source: Build with us. The next paradigm needs builders.. https://aetherlabs.ai/careers
2026-09-21: Product snapshot (product) . Aether AI builds causal world models for real world intelligence, with physical AI and robotics as the first focus. Source: Aether AI homepage. https://aetherlabs.ai
2026-09-19: Aether launches CausalWM (product) . Aether AI introduced CausalWM v1 as its first embodied causal world model. The release says it uses causal chain of thought to predict motion and geometry before future video and reports top benchmark results on TriWorldBench and PAI Bench. Source: CausalWM launch. https://aetherlabs.ai/articles/causalwm-causal-chain-of-thought-reasoning-for-embodied-world-model
2026-09-15: Aether introduces RSIAgent (product) . Aether AI introduced RSIAgent, an autonomous exploration framework for recursive self improvement in digital agents. The release says it helps agents explore new environments, verify outcomes, and store causal action condition outcome relationships in memory. Source: RSIAgent launch. https://aetherlabs.ai/articles/rsiagent-autonomous-exploration-for-recursive-self-improvement
2026-08-12: Founder says team is growing (hr) . Biwei Huang posted that Aether AI is growing the team and wants candidates with experience in causality, mechanisms, or real world decision making. Source: Founder hiring post. https://www.linkedin.com/posts/biwei-huang-5704b938_were-growing-the-team-at-aether-ai-if-activity-7488624574541225985-rDK-
2026-08-09: Aether releases SCAR (product) . Aether AI published SCAR, which defines a latent action interface for transferable embodied world models across embodiments. Source: SCAR. https://aetherlabs.ai/articles/scar-self-supervised-continuous-action-representation-learning

Veeda AI

Website: veeda.ai

Veeda AI builds multimodal world models that simulate physical reality so embodied agents and robots can learn through interaction in scalable virtual environments.

Category: Robotics & Embodied Intelligence. Funding stage: Seed. Founded: 2026. Country: Canada. Employees: 2-10 employees.

Landscape fit: It fits Robotics & Embodied Intelligence because its core product is world models for robot learning and simulation, which help embodied agents anticipate and interact with changing physical environments.

Funding rounds

seed announced 2026-08-19 : 90000000 USD ; investors: Khosla Ventures, Radical Ventures, 2077 Ventures ; source: SiliconANGLE on Veeda AI seed round ; https://siliconangle.com/2026/08/19/sanja-fidlers-world-model-startup-veeda-ai-raises-90m-seed-funding

Company timeline

2026-09-21: HR snapshot (hr) . Veeda AI appears to have a very small founding team and is publicly recruiting across its locations. The current public signal suggests active hiring, but the supplied evidence does not expose specific open roles cleanly enough to count them as a hiring cluster. Source: Veeda AI. https://veeda.ai
2026-09-21: Product snapshot (product) . Veeda AI develops multimodal world models that simulate physical reality for embodied agents and robotics teams. Source: Veeda AI. https://veeda.ai
2026-08-19: Seed (funding) . Amount: USD 90M. Investors: Khosla Ventures, Radical Ventures, 2077 Ventures Source: SiliconANGLE on Veeda AI seed round. https://siliconangle.com/2026/08/19/sanja-fidlers-world-model-startup-veeda-ai-raises-90m-seed-funding

Arkona Home Robotics

Website: arkonahomerobotics.com

Category: Robotics & Embodied Intelligence. Funding stage: Pre Seed. Founded: 2024. Country: Germany. Employees: 2 to 10.

Landscape fit: It fits robotics and embodied intelligence because its core product is a predictive model for robot perception, planning, and control in physical home environments. ([arkonahomerobotics.com](https://www.arkonahomerobotics.com/?utm_source=openai))

Company timeline

2026-09-21: HR snapshot (hr) . Arkona Home Robotics appears to be an early stage Berlin company with a very small team. The public signals point to a founder led setup and no clear active hiring program. Source: Arkona Home Robotics LinkedIn company page. https://www.linkedin.com/company/arkona-home-robotics
2026-09-21: Product snapshot (product) . Arkona Home Robotics builds a learned world model for home robotics. The product scope centers on prediction, planning, safety, and recovery for robots working in messy home environments, with LEGO assembly as the first benchmark and a roadmap toward household tasks. Source: Home Custom. https://www.arkonahomerobotics.com/home-custom

Earth, Energy & Industrial Systems

Models that learn how large physical systems evolve and use that understanding to support better operational decisions.

Jua.ai AG

Website: jua.ai

Jua builds a foundation model for the physical world, starting with weather and Earth-system simulation, to improve decision-making in energy and other climate-sensitive industries.

Category: Earth, Energy & Industrial Systems. Funding stage: Series A. Founded: 2022. Country: Switzerland. Employees: 11-50 employees.

Landscape fit: It fits World Model Startups because its core product is a model of how large physical systems evolve, used for forecasting and operational decisions in energy, climate, and related industrial domains.

Funding rounds

Series A announced 2025-06-01 : 11000000 USD ; investors: Ananda Impact Ventures, Future Energy Ventures, Promus Ventures, 468 Capital, Kadmos Capital ; source: Jua Blog ; https://jua.ai/blog/series-a-announcement/
Seed announced 2024-02-01 : 16000000 USD ; investors: 468 Capital, Green Generation Fund, Promus Ventures, Kadmos Capital, Flix Mobility founders, Session.vc, Virtus Resources Partners, Notion.vc, InnoSuisse ; source: TechCrunch ; https://techcrunch.com/2024/02/05/jua-raises-16m-to-build-a-foundational-ai-model-for-the-natural-world-starting-with-the-weather/

Company timeline

2026-09-28: HR snapshot (hr) . The official careers page describes work in Zürich and says there are no open positions right now. No hiring cluster or employee-count estimate is supported by the supplied fetched text. Source: Jua careers page. https://jua.ai/careers
2026-09-28: Product snapshot (product) . Jua provides weather and Earth-system forecasts and energy-market tools through its EPT model family, Athena, and documented developer access. Its documentation lists proprietary and third-party models, power forecasts, capacity analysis, and historical hindcasts. Source: Jua home page. https://jua.ai
2026-08-07: Jua releases extreme weather benchmark explorer (product) . Jua published a paper on how its AI weather models perform in extreme observed conditions and linked an interactive benchmark explorer. The release makes the evaluation public and lets users inspect results across European stations. Source: GitHub release. https://github.com/juaAI/aiweather-extremes/releases
2026-07-21: EPT-2.1 Europa European day-ahead model (product) . Jua launched Europa, an hourly-refreshed European ensemble forecast with ~6 km resolution, 16 ensemble members, and day-ahead trading focus. Source: Jua blog. https://jua.ai/blog/ept2-1-europa/
2026-07-21: EPT-2.1 Europa extends the platform with day-ahead forecasting for European power traders (gtm) . On July 21, 2026, Jua launched EPT-2.1 Europa, an hourly-refreshed, high-resolution ensemble forecast aimed at day-ahead trading across wind, solar, temperature, and Dutch wind power. Source: Jua Blog. https://jua.ai/blog/
2026-07-15: EPT-2.1 Helios solar model (product) . Jua introduced Helios, a European solar forecasting model with 30-minute updates, 48-hour horizon, and historical backtesting archive. Source: Jua blog. https://jua.ai/blog/ept2-helios/

kausable

Website: kausable.ai

Category: Earth, Energy & Industrial Systems. Funding stage: Seed. Founded: 2025. Country: Germany. Employees: 2 to 10.

Landscape fit: It fits the World Model Startups category because the company explicitly builds a model that learns underlying dynamics and adapts to new evidence across complex, real-world systems such as energy grids, cybersecurity, and robotics, rather than a narrow task-specific model. ([kausable.ai](https://kausable.ai/?utm_source=openai))

Funding rounds

grant announced 2026-07-28 : 200000 EUR ; investors: Start-up BW Pre-Seed Program, Ministerium für Wirtschaft, Arbeit und Tourismus Baden-Württemberg, L-Bank ; source: Technologiepark Heidelberg ; https://www.technologiepark-heidelberg.de/aktuelles/drei-heidelberger-start-ups-in-foerderprogramm
Seed round announced 2026-07-23 : 12000000 EUR ; investors: UVC Partners, Entourage, HTGF, Mätch VC ; source: www.htgf.de ; https://www.htgf.de/en/kausable-seed-round/

Company timeline

2026-09-28: HR snapshot (hr) . The LinkedIn company page lists kausable at 2 to 10 employees. Supplied job postings show recruiting across research, ML product engineering, and software engineering. Source: kausable LinkedIn company page. https://www.linkedin.com/company/kausable
2026-09-01: kausable posts multiple open roles (hr) . In September 2026, kausable listed openings for a Machine (Meta) Learner, an ML Product Engineer, a Software Engineer, Enablement and Product, and a spontaneous application channel. The postings show active hiring across research and product delivery. Source: kausable LinkedIn job postings. https://www.linkedin.com/jobs/view/machine-meta-learner-at-kausable-4460411033
2026-07-28: EUR 200K grant (funding) . Amount: EUR 200K. Investors: Start-up BW Pre-Seed Program, Ministerium für Wirtschaft, Arbeit und Tourismus Baden-Württemberg, L-Bank Source: Technologiepark Heidelberg. https://www.technologiepark-heidelberg.de/aktuelles/drei-heidelberger-start-ups-in-foerderprogramm
2026-07-23: kausable raises €12 million seed round (funding) . kausable announced a €12 million seed round led by UVC Partners and Entourage, with follow-on investment from HTGF and Mätch VC, to build reasoning-first frontier AI that adapts without retraining. Source: www.htgf.de. https://www.htgf.de/en/kausable-seed-round/
2026-05-12: kausable introduces TipPFN for zero-shot prediction of critical transitions (product) . kausable researchers introduced TipPFN, an in-context learning framework for predicting proximity to critical transitions in dynamical systems. The model is trained on synthetic stochastic dynamics and was reported to generalize to previously unseen tipping regimes, sim-to-real examples, and real-world observations, including zero-shot settings. Source: arXiv. https://arxiv.org/abs/2605.12308

Archetype AI

Website: archetypeai.io

Archetype AI builds a Physical AI foundation model and platform that turns real-world sensor data into understanding, predictions, and actions for physical environments.

Category: Earth, Energy & Industrial Systems. Funding stage: Series A. Founded: 2023. Country: United States. Employees: 72 employees shown on LinkedIn.

Landscape fit: It fits the World Model Startups category because its core product learns how physical systems evolve from multimodal sensor data and uses that understanding to support operational decisions in the real world.

Funding rounds

series a announced 2025-11-01 : 35000000 USD ; investors: IAG Capital Partners, Hitachi Ventures, Bezos Expeditions, Venrock, Amazon Industrial Innovation Fund, Samsung Ventures, Systemiq Capital, E12 Ventures, Higher Life Ventures, Gaingels, Plug and Play Ventures ; source: Archetype AI ; https://www.archetypeai.io/blog/archetype-ai-series-a
seed announced 2024-04-01 : 13000000 USD ; investors: Venrock, Amazon Industrial Innovation Fund, Hitachi Ventures, Buckley Ventures, Plug and Play Ventures ; source: Business Wire ; https://www.businesswire.com/news/home/20240405306572/en/Archetype-AI-Introduces-Foundation-Model-to-Pioneer-Physical-AI

Company timeline

2026-09-28: HR snapshot (hr) . The LinkedIn company page lists multiple current openings across research, engineering, product, customer success, program management, solutions, and enterprise sales. It displays “View all 72 employees”; this is a LinkedIn profile figure, not independently verified headcount. Source: LinkedIn. https://www.linkedin.com/company/archetype-ai/jobs
2026-09-28: Product snapshot (product) . Newton is presented as a physical-world model that fuses sensor data with contextual inputs. The Archetype Platform supports building, adapting, evaluating, and deploying Newton Agents across cloud, private cloud, on-premises, edge, and air-gapped environments. Source: Archetype AI. https://www.archetypeai.io/newton
2026-07-31: Archetype AI details live Hyster-Yale manufacturing deployment (gtm) . Archetype AI described a live deployment of Newton at Hyster-Yale's Berea, Kentucky plant. The team used cameras and edge compute in an assembly work cell, with Newton comparing observed activity against standard operating procedures to identify quality issues and workflow deviations. The case was presented as evidence that Newton Agents can adapt to site-specific conditions without building a separate model for every machine or use case. Source: Archetype AI. https://www.archetypeai.io/blog/how-physical-ai-agents-are-transforming-manufacturing
2026-06-24: Newton Agents launch productizes the platform into ready-to-deploy workflows (gtm) . Archetype AI introduced Newton Agents as a portfolio of ready-to-deploy physical agents for machine intelligence, process intelligence, and workforce intelligence. ([archetypeai.io](https://www.archetypeai.io/blog/introducing-newton-agents?utm_source=openai)) Source: Archetype AI Blog. https://www.archetypeai.io/blog/introducing-newton-agents
2026-06-24: Newton Agents portfolio launched (product) . Archetype introduced Newton Agents as ready-to-deploy physical agents spanning operational state monitoring, anomaly discovery, rare event detection, task verification, and manual generation. Source: Archetype AI Blog. https://www.archetypeai.io/blog/introducing-newton-agents
2026-04-22: Newton fine-tuning for customer operations (product) . Archetype introduced fine-tuning so customers can adapt Newton to their own sensor data and processes while keeping data and inference inside their infrastructure. Source: Archetype AI Blog. https://www.archetypeai.io/blog/newton-the-industrial-ai-foundation-model-built-for-physical-operations

Causal Labs

Website: causallabs.ai

Causal Labs is building a Large Physics foundation Model to learn cause-and-effect in physical systems, starting with weather prediction and control.

Category: Earth, Energy & Industrial Systems. Funding stage: Seed. Founded: 2024. Country: United States. Employees: 11-50.

Landscape fit: It fits World Model Startups because it is explicitly training a model of a large physical system (the atmosphere) to predict future states and support better operational decisions in the real world.

Funding rounds

seed announced 2025-03-12 : 6000000 USD ; investors: Kindred Ventures, Refactor, BoxGroup, Factorial, Otherwise, Karman Ventures, angel investors ; source: Causal Labs: Towards general causal intelligence ; https://blog.getcausal.ai/p/causal-labs-towards-causal-intelligence

Company timeline

2026-09-28: HR snapshot (hr) . The LinkedIn company page reports 11-50 employees, and the supplied careers pages describe open roles in product engineering, atmospheric science, and forward-deployed engineering. These are current-state signals, not a newly dated timeline event. Source: Causal Labs LinkedIn company page. https://www.linkedin.com/company/causallabs
2026-09-28: Product snapshot (product) . Large Physics foundation model for learning causal relationships through physics and weather, with stated goals of predicting future conditions and identifying actions that can change outcomes. Source: Causal Labs. https://www.causallabs.ai
2026-07-01: Hiring push announced on LinkedIn (hr) . Dar Mehta posted that Causal Labs was hiring aggressively and asked impacted Meta Superintelligence Labs staff to send their resumes.. Team size observed: 11-50 employees employees. Source: LinkedIn. https://www.linkedin.com/posts/darmehta_to-all-of-the-brilliant-staff-at-meta-superintelligence-activity-7387169775849943041-Nqay
2025-03-12: Seed (funding) . Amount: USD 6M. Investors: Kindred Ventures, Refactor, BoxGroup, Factorial, Otherwise, Karman Ventures, angel investors Source: Causal Labs: Towards general causal intelligence. https://blog.getcausal.ai/p/causal-labs-towards-causal-intelligence

Parisi Labs

Website: parisi-labs.com

Parisi Labs builds world models for physical industry, starting with energy, to help operators understand current system conditions, evaluate possible futures, and choose better actions.

Category: Earth, Energy & Industrial Systems. Funding stage: Seed. Founded: 2026. Country: United States. Employees: 2-10.

Landscape fit: The company explicitly says it builds world models for physical industry and starts with energy, which fits the Earth, Energy & Industrial Systems category.

Company timeline

2026-09-21: HR snapshot: small founding team, active hiring (hr) . Parisi Labs remains a small 2–10 person company and is actively hiring across research, engineering, product, and commercial functions in New York and Boston/Cambridge. Source: Parisi Labs LinkedIn company page. https://www.linkedin.com/company/parisi-ai
2026-09-21: Product snapshot (product) . Parisi Labs builds world models and decision software for physical systems, starting with energy. Its public scope includes Ask The Grid for exploring the power grid, Metis for battery and microgrid decision support, and supporting model and data infrastructure. Source: Parisi Labs home. https://parisi-labs.com
2026-09-19: Metis 1 Preview adds probabilistic nodal forecasts (product) . Parisi Labs integrated Metis 1 Preview into Ask The Grid, adding probabilistic nodal price forecasts with uncertainty distributions, forecast vintages, and comparison against published day-ahead prices. Source: Ask The Grid changelog. https://askthegrid.com/changelog/metis-one-preview-forecast-workspace
2026-09-19: Ask The Grid adds BPA workspace (product) . Ask The Grid added a Bonneville Power Administration workspace with map views, operating desks, hydro project readings, and transmission evidence. Source: Ask The Grid changelog. https://askthegrid.com/changelog
2026-09-01: Founder describes early demos (gtm) . James LePage said early demos with financiers, utilities, and energy companies showed that making the system easier to see can surface planning value. Source: James LePage LinkedIn post on Ask The Grid. https://www.linkedin.com/posts/jameswlepage_weve-had-a-really-fun-month-building-ask-activity-7501077677651722240-W_VG
2026-09-01: Founding team hiring expands across core functions (hr) . Parisi Labs’ careers page shows multiple founding-team openings spanning ML research, applied AI, data infrastructure, product engineering, and commercial leadership. Source: Careers. https://parisi-labs.com/careers

Noetive

Website: noetive.ai

Noetive builds AI systems for physical operations, using world models, agents, and sensing to help industrial businesses plan and adapt in real time.

Category: Earth, Energy & Industrial Systems. Funding stage: Seed. Founded: 2026. Country: United States. Employees: 11-50.

Landscape fit: It fits this category because it applies world model style AI to large physical systems and uses that understanding to improve operational decisions in industrial settings.

Funding rounds

seed announced 2026-09-16 : 41000000 USD ; investors: Eclipse, Craft Ventures, The Westly Group, Swish Ventures, Factory, Incite Ventures, Gigascale Capital, Operator Partners, Liquid 2 Ventures, Zach Frenkel ; source: Noetive official news release ; https://noetive.ai/news/noetive-emerges-from-stealth-with-41-million-seed

Company timeline

2026-09-21: HR snapshot (hr) . Noetive appears to be a small founder led team with active hiring in technical and product roles. Source: Noetive team and careers page. https://noetive.ai/team
2026-09-21: Product snapshot (product) . Noetive builds AI systems for physical operations. Its current scope includes a self improving research system, multimodal sensing pods, and agent software that fuses ground reality with systems of record. Source: Noetive official homepage. https://noetive.ai
2026-09-16: Steuben Foods reports 10–15% production-line capacity increase (gtm) . Early customer Steuben Foods uses Noetive to optimize weekly manufacturing schedules. The company reported that the deployment increased production-line capacity by roughly 10–15%, while planning work that previously took about a week each month can now be run daily in minutes. Source: The Wall Street Journal. https://www.wsj.com/pro/venture-capital/noetive-raises-41-million-to-create-a-chatgpt-moment-for-physical-industries-51645088
2026-09-16: Seed (funding) . Amount: USD 41M. Investors: Eclipse, Craft Ventures, The Westly Group, Swish Ventures, Factory, Incite Ventures, Gigascale Capital, Operator Partners, Liquid 2 Ventures, Zach Frenkel Source: Noetive official news release. https://noetive.ai/news/noetive-emerges-from-stealth-with-41-million-seed
2026-09-01: Roles opened on team page (hr) . Noetive's team page shows openings for an AI Research Scientist, an AI Native Full Stack Engineer, and an AI Native Product Manager. Source: Noetive team and careers page. https://noetive.ai/team
2026-09-01: Design partner work in industrial settings (gtm) . Noetive says it works with a small set of design partners in manufacturing, logistics, and construction. Source: Noetive lab page. https://noetive.ai/lab

Zenithon

Website: zenithon.ai

Zenithon builds physics grounded world models that speed up simulation and design for fusion, aerospace, and semiconductor systems.

Category: Earth, Energy & Industrial Systems. Funding stage: Seed. Founded: 2025. Country: United Kingdom. Employees: unknown.

Landscape fit: It fits this landscape because its core product is a world model for large physical systems, using learned physics to improve operational and design decisions in energy and industrial domains.

Funding rounds

seed announced 2026-09-30 : 10000000 USD ; investors: Backed VC, Lunar Ventures, Seraphim Space, MMC Ventures, SOSV, angel investors ; source: Wilson Sonsini ; https://www.wsgr.com/en/insights/wilson-sonsini-advises-zenithon-ai-on-dollar10-million-seed-financing.html

Company timeline

2026-10-02: HR snapshot (hr) . No reliable employee count or company-wide hiring status is established by the fetched evidence. The official careers page fetch shows no specific openings; a third-party profile says the company is not hiring through that platform. Source: Zenithon. https://zenithon.ai/careers
2026-10-02: Product snapshot (product) . Zenithon’s stated product scope is physics-grounded machine learning for extreme-physics simulation and design, with named applications in fusion, aerospace, and semiconductor development. Source: Zenithon. https://zenithon.ai
2026-09-30: Seed (funding) . Amount: USD 10M. Investors: Backed VC, Lunar Ventures, Seraphim Space, MMC Ventures, SOSV, angel investors Source: Wilson Sonsini. https://www.wsgr.com/en/insights/wilson-sonsini-advises-zenithon-ai-on-dollar10-million-seed-financing.html

Biology

Models that represent living systems and predict how they respond when their internal state or external conditions change.

Noetik

Website: noetik.ai

Noetik is an AI-native biotechnology company that builds foundation models and multimodal data platforms to discover and develop precision cancer therapies.

Category: Biology. Funding stage: Series A. Founded: 2022. Country: United States. Employees: 11-50.

Landscape fit: It fits the World Model Startups / Biology category because its core product is a model of the tumor microenvironment that can represent and simulate how living systems respond to changing conditions and therapies.

Funding rounds

series a announced 2024-08-01 : 40000000 USD ; investors: Polaris Partners, Khosla Ventures, Wittington Ventures, Breakout Ventures, DCVC, Zetta Venture Partners, Catalio Capital Management, 11.2 Capital, Epic Ventures, Intermountain Ventures, North South Ventures, ApSTAT Technologies, Linearis Labs and Ventures Fund ; source: Business Wire ; https://www.businesswire.com/news/home/20240829428359/en/Noetik-Secures-%2440-Million-Series-A-Financing-to-Advance-Precision-Cancer-Therapies
seed announced 2023-09-01 : 14000000 USD ; investors: DCVC, Zetta Venture Partners, 11.2 Capital, Catalio Capital Management, Epic Ventures, Intermountain Ventures, North South Ventures, Chau Khuong, CJNV BioVentures, Viswa Colluru, Hummingbird Nomads Fund, Chris Gibson, Michael Secora ; source: Business Wire ; https://www.businesswire.com/news/home/20230907509972/en/Noetik-Raises-%2414-Million-Seed-Financing-to-Revolutionize-Cancer-Immunotherapy-Using-Artificial-Intelligence

Company timeline

2026-09-28: HR snapshot (hr) . The careers page lists functional areas and invites expressions of interest. It supports a selective public recruiting signal, but does not establish a dated hiring event. Source: LinkedIn. https://www.linkedin.com/company/noetik-inc
2026-09-28: Product snapshot (product) . Noetik describes a cancer-discovery platform using multimodal human tumor data, self-supervised foundation models, and virtual-cell simulation. Its stated applications include response prediction, H&E-to-spatial-transcriptomics conversion, target discovery, and Perturb-map in vivo validation. Source: Noetik. https://www.noetik.ai
2026-07-27: Team size observed (hr) . Public source shows a team size of 11-50 employees employees.. Team size observed: 11-50 employees employees. Source: LinkedIn company page. https://www.linkedin.com/company/noetik-inc
2026-06-15: TARIO-2 white paper and validation launch routine-pathology response prediction (product) . Noetik released a white paper showing TARIO-2 could identify BOT/BAL responders and improved response and survival outcomes using only pretreatment H&E images. Source: Noetik TARIO-2. https://www.noetik.ai/tario2
2026-01-08: GSK licenses Noetik foundation models in anchor partnership (product) . Noetik announced that GSK licensed its AI foundation models in an anchor partnership to transform cancer therapeutic research and development. Source: Noetik News. https://www.noetik.ai/news
2025-11-10: SITC 2025 introduces virtual-cell simulations for treatment outcomes (product) . Noetik presented OCTO-vc research showing virtual-cell simulations can decode spatial biology and support target discovery, biomarker development, and patient stratification. Source: Noetik SITC 2025. https://www.noetik.ai/sitc-2025

GenBio AI

Website: genbio.ai

Category: Biology. Funding stage: Seed. Founded: 2024. Country: United States. Employees: 53-68.

Landscape fit: It fits this category because its core product is a biological world model/AIDO that represents living systems and predicts responses to perturbations, such as gene knockdowns, drugs, and cellular changes, across multiple biological scales. GenBio AI says it is building a programmable virtual cell and models to simulate biology at every scale. ([genbio.ai](https://genbio.ai/home/?utm_source=openai))

Funding rounds

Series A announced 2026-06-24 ; source: Caplight company profile ; https://www.caplight.com/company/genbio

Company timeline

2026-09-28: GenBio AI is actively recruiting technical roles (hr) . GenBio AI’s Lever page shows live openings for Director, Engineering, Research Scientist, Applied Science, and Staff or Principal Software Engineer. Source: Open roles on Lever. https://jobs.lever.co/genbio
2026-09-28: HR snapshot (hr) . The supplied Lever board lists three technical openings. Caplight reports employee-count signals of 53 to 68 employees on July 22, 2026. Source: Open roles on Lever. https://jobs.lever.co/genbio
2026-09-28: Product snapshot (product) . GenBio AI develops AIDO, an integrated multiscale foundation-model system for predicting, simulating, and programming biology. Its AIDO Cell virtual-cell world model is described as simulating biology from molecules to whole-cell behavior. Source: GenBio AI. https://genbio.ai
2026-08-18: AIDO Cell announced as a cell biology simulator (product) . GenBio AI presented AIDO Cell as a general purpose simulator for cell biology research and a virtual cell world model. The company’s research repository says access is through a closed alpha waitlist. Source: GenBio AI blog. https://genbio.ai/blog
2026-07-22: GenBio AI shows mid sized employee base (hr) . Caplight’s company profile shows an employee count signal in the 53 to 68 range as of July 22, 2026. Source: Caplight company profile. https://www.caplight.com/company/genbio
2026-06-24: Undisclosed series a (funding) . Amount undisclosed Source: Caplight company profile. https://www.caplight.com/company/genbio

Bioptimus

Website: bioptimus.com

Bioptimus is a French AI-biotech company building a universal foundation model for biology to connect and predict across molecular, cellular, tissue, and organism-level data.

Category: Biology. Funding stage: Seed. Founded: 2023. Country: France. Employees: unknown.

Landscape fit: It fits the Biology world-model category because its core product is a multi-scale foundation model intended to represent living systems and predict biological behavior across changing internal states and conditions.

Funding rounds

Series A announced 2025-01-01 : 41000000 USD ; investors: Cathay Innovation, Sofinnova Partners, Bpifrance, Bpifrance Large Venture, Andera Partners, Hitachi Ventures, Boom Capital Ventures, Pomifer Capital, Sunrise, Emmanuel Cassimatis, Thomas Wolf ; source: Bioptimus ; https://www.bioptimus.com/news/bioptimus-hits-76m-funding
Seed announced 2024-02-01 : 35000000 USD ; investors: Sofinnova Partners, Bpifrance Large Venture, Frst, Cathay Innovation, Headline, Hummingbird, NJF Capital, Owkin, Top Harvest Capital, Xavier Niel ; source: Bioptimus ; https://www.bioptimus.com/news/ex-google-deepmind-and-owkin-scientists-team-up-to-create-bioptimus-to-build-the-first-universal-ai-foundation-model-for-biology

Company timeline

2026-09-28: HR snapshot (hr) . The live jobs board lists current openings in operations, platform engineering, clinical expertise, and clinical data science, with roles in Paris and remote across the EU. Source: Bioptimus jobs board. https://job-boards.greenhouse.io/bioptimus8
2026-09-28: Product snapshot (product) . Bioptimus builds pathology and multimodal biology foundation models. Its published materials describe M-Optimus-1 analysis of spatial biology from H&E slides and STELA as a clinically linked multimodal atlas initiative. Source: Bioptimus. https://www.bioptimus.com/m-optimus-1-for-spatial-biomarker-discovery-in-ovarian-cancer
2026-09-24: M-Optimus-1 applied to ovarian cancer biomarker discovery (product) . Bioptimus published a case study showing M-Optimus-1 predicting spatial gene expression from routine H&E slides in an ovarian cancer cohort. The post reports comparison with measured ground truth and identifies spatial patterns associated with treatment resistance. Source: Bioptimus. https://www.bioptimus.com/m-optimus-1-for-spatial-biomarker-discovery-in-ovarian-cancer
2026-09-15: Bioptimus explains model licensing (product) . Bioptimus described H-Optimus-0 as open under Apache 2.0, H-Optimus-1 as free for academic and non commercial research with separate commercial licensing, and M-Optimus as available under a commercial license. Source: Bioptimus. https://www.bioptimus.com/why-we-give-our-best-science-away-and-why-we-sometimes-dont
2026-05-20: M-Optimus-1 public results deepen the multimodal story (gtm) . Bioptimus published results showing M-Optimus-1 as a first iteration of its world model, emphasizing multimodal prediction, routine-data leverage, and STELA as the scaling engine. Source: Bioptimus. https://www.bioptimus.com/introducing-m-optimus
2026-05-20: M-Optimus introduced as Bioptimus’s multimodal world model for biology (product) . Bioptimus introduced M-Optimus-1 as a multimodal, multi-scale model combining pathology, bulk RNA-seq, and spatial transcriptomics to predict molecular geography and support drug discovery workflows. Source: Bioptimus Blog. https://www.bioptimus.com/introducing-m-optimus

Society & Human Behavior

Models that learn how individual interactions can produce changes in collective human behavior over time.

Artificial Societies

Website: societies.io

Artificial Societies builds AI persona networks that simulate how target audiences, stakeholders, and communities will react to messages, products, and policy decisions.

Category: Society & Human Behavior. Funding stage: Seed. Founded: 2024. Country: United Kingdom. Employees: 2-10 employees.

Landscape fit: It fits the World Model / Society & Human Behavior category because its product models social networks of AI personas to predict how individual opinions and interactions can shape collective responses over time.

Funding rounds

seed announced 2025-09-01 : 5350000 USD ; investors: Point72 Ventures ; source: Artificial Societies ; https://societies.io/publications/supporter-updates/september-2025

Company timeline

2026-09-28: HR snapshot (hr) . The supplied evidence includes an official Forward Deployed Engineer application page, but does not establish a dated snapshot of active hiring or employee count. Source: Apply — Forward Deployed Engineer. https://societies.io/careers/forward-deployed-engineer/apply
2026-09-28: Product snapshot (product) . Artificial Societies provides network-based AI persona simulations for examining audience responses to research questions, messages, and scenarios. Its official pages describe enterprise use cases including market research, public affairs, stakeholder mapping, and investor communications. Source: How Artificial Societies are built. https://societies.io/how-artificial-societies-are-built
2026-07-01: Team size observed (hr) . Public source shows a team size of 2-10 employees employees.. Team size observed: 2-10 employees employees. Source: LinkedIn. https://www.linkedin.com/company/artificial-societies
2026-05-01: Client strategy role added (hr) . Artificial Societies said its May 2026 support update included a new client strategy role. Source: Supporter updates, May 2026. https://societies.io/publications/supporter-updates/may-2026
2026-05-01: Enterprise demand surfaced (gtm) . Artificial Societies said its May 2026 support update showed demand from enterprise users for its simulation workflows. Source: Supporter updates, May 2026. https://societies.io/publications/supporter-updates/may-2026
2026-04-01: Investor communications page published (gtm) . Artificial Societies published an investor communications simulation page for equity story and earnings call preparation. Source: Investor communications testing: the equity story explained. https://societies.io/investor-communications-simulation

Mirror Particle

Website: mirrorparticle.com

Mirror Particle builds foundational models of human behavior by simulating how people perceive, decide, and act.

Category: Society & Human Behavior. Funding stage: Pre Seed. Founded: 2024. Country: United States. Employees: 2-10 employees.

Landscape fit: It fits the world model category because it explicitly models how individual perceptions and decisions can produce changes in collective human behavior over time.

Funding rounds

angel announced 2026-10-06 ; source: TechCrunch coverage of Mirror Particle ; https://techcrunch.com/2026/10/06/mirror-particle-is-building-a-world-model-of-human-behavior

Company timeline

2026-10-07: HR snapshot (hr) . Mirror Particle appears to be a small company with an open application channel rather than a broad public hiring program. LinkedIn lists a company size of 2–10 employees. Source: mirrorparticle.com. https://www.mirrorparticle.com/apply
2026-10-07: Product snapshot (product) . Mirror Particle says it is building foundational models of human behavior. Its site describes simulating perception, feeling, decisions, and actions; TechCrunch adds that its engine is intended to predict consumer behavior and model how behavior and motivations change over time. Source: mirrorparticle.com. https://www.mirrorparticle.com
2026-10-06: Undisclosed angel (funding) . Amount undisclosed Source: TechCrunch coverage of Mirror Particle. https://techcrunch.com/2026/10/06/mirror-particle-is-building-a-world-model-of-human-behavior
2026-08-20: Selected for Startup Battlefield 200 (gtm) . TechCrunch listed Mirror Particle in the 2026 Startup Battlefield 200. The cohort gives the company a spot to exhibit at TechCrunch Disrupt 2026. Source: TechCrunch Startup Battlefield 200 list. https://techcrunch.com/2026/08/20/the-2026-startup-battlefield-200-is-here-see-who-made-the-cut

World Model Infrastructure

Infrastructure built specifically to deploy and run world models in production. These companies support world model builders rather than primarily developing the underlying models themselves.

Reactor

Website: reactor.inc

Category: World Model Infrastructure. Funding stage: Series A. Founded: 2025. Country: United States. Employees: undisclosed.

Landscape fit: It fits world model infrastructure because it says it provides the production layer, real time APIs, and distributed GPU network for developers running world models, rather than primarily building the base models itself. ([reactor.inc](https://www.reactor.inc/?utm_source=openai))

Funding rounds

series_a_extension announced 2026-10-05 : 15000000 USD ; investors: Sapphire Ventures, NVIDIA's NVentures ; source: Fortune ; https://fortune.com/2026/10/05/nvidia-backs-startup-reactor-buzz-grows-for-world-models
series_a announced 2026-05-28 : 59000000 USD ; investors: Lightspeed Venture Partners, WndrCo, Amplify Partners, Sky9 Capital, FPV Ventures ; source: PR Newswire ; https://www.prnewswire.com/news-releases/reactor-emerges-from-stealth-with-59m-to-build-the-platform-for-real-time-ai-worlds-302784514.html

Company timeline

2026-10-07: HR snapshot (hr) . Reactor has a public jobs portal and evidence of postings for a GTM Lead, Robotics role and a Member of Technical Staff, DevOps role. The supplied evidence does not quantify the company's workforce. Source: Jobs at Reactor. https://jobs.reactor.inc
2026-10-07: Product snapshot (product) . Reactor provides developer-facing APIs, SDKs, and hosted inference for real-time generative media and world models. Its current public surface includes a model catalog, sandbox, documentation, and robotics-related services. Source: reactor.inc. https://www.reactor.inc
2026-10-05: Series a extension (funding) . Amount: USD 15M. Investors: Sapphire Ventures, NVIDIA's NVentures Source: Fortune. https://fortune.com/2026/10/05/nvidia-backs-startup-reactor-buzz-grows-for-world-models
2026-10-01: Reactor is hiring across robotics and DevOps (hr) . Reactor had active openings for a GTM Lead, Robotics role and a Member of Technical Staff, DevOps role. Source: Reactor jobs and careers pages. https://jobs.reactor.inc/postings/34d8abb2-3889-4b0a-9d5a-c2e0bd873390
2026-10-01: Onairos partners with Reactor (gtm) . Onairos documented Reactor as the backend for its world experience and described the two companies as partners. Source: Onairos docs. https://docs.onairos.io/reactor
2026-05-28: Reactor launches from stealth (product) . Reactor emerged from stealth and introduced its developer platform for real time generative video and world models. Source: PR Newswire. https://www.prnewswire.com/news-releases/reactor-emerges-from-stealth-with-59m-to-build-the-platform-for-real-time-ai-worlds-302784514.html

Investors

Top-tier and active investors

Top-tier investors who invested

Did not invest

Other investors

Funding & Exits

Oct 2026

Mirror Particle

Pre-Seed

TechCrunch coverage of Mirror Particle

Reactor

series_a_extension

$15M • Investors: Sapphire Ventures, NVIDIA's NVentures

Fortune

Sep 2026

Zenithon

Seed

$10M • Investors: Backed VC, Lunar Ventures, Seraphim Space, MMC Ventures, SOSV, angel investors

Wilson Sonsini

World Labs

Acquisition

Reuters

Noetive

Seed

$41M • Investors: Eclipse, Craft Ventures, The Westly Group, Swish Ventures, Factory, Incite Ventures, Gigascale Capital, Operator Partners, Liquid 2 Ventures, Zach Frenkel

Noetive official news release

Visko

Pre-Seed

$10M • Investors: Llama Ventures

PR Newswire

Aug 2026

Veeda AI

Seed

$90M • Investors: Khosla Ventures, Radical Ventures, 2077 Ventures

SiliconANGLE on Veeda AI seed round

Jul 2026

kausable

grant

EUR 200K • Investors: Start-up BW Pre-Seed Program, Ministerium für Wirtschaft, Arbeit und Tourismus Baden-Württemberg, L-Bank

Technologiepark Heidelberg

kausable

Seed round

EUR 12M • Investors: UVC Partners, Entourage, HTGF, Mätch VC

www.htgf.de

World Labs

Acquisition

Acquirer: World Labs • Status: Announced

World Labs

Jun 2026

Noetive

Acquisition

Acquirer: Noetive • Status: Announced

Noetive official news release

Patronus AI

Series B

$50M • Investors: Greenfield Partners, Lightspeed Venture Partners, Notable Capital, Datadog, Samsung, Gokul Rajaram, Factorial Capital, others

official financing announcement

GenBio AI

Series A

Caplight company profile

Aether AI

Seed

$20M • Investors: MPCi, Inno Angel Fund, SWC Global, Unity Ventures, other institutions

Aether AI Raises $20 Million Seed Round to Build Causal World Models for the Next Era of AI

General Intuition

Series A

$320M • Investors: Khosla Ventures, General Catalyst, Hedosophia, Bezos Expeditions, Innovation Endeavors, Nico Rosberg

Axios

Odyssey

Series B

$310M • Investors: Natural Capital, Amazon, GV, AMD Ventures, EQT, IQT

Odyssey

May 2026

Reactor

Series A

$59M • Investors: Lightspeed Venture Partners, WndrCo, Amplify Partners, Sky9 Capital, FPV Ventures

PR Newswire

Decart

Series C

$300M • Investors: Radical Ventures, Adobe Ventures, Andrej Karpathy, Atreides Management, Benchmark, Michael Eisner, Moritz Baier-Lentz, NVIDIA, Sequoia Capital, Toyota Ventures, Valor Equity Partners, Zeev Ventures, eBay Ventures

Decart

Mar 2026

AMI Labs (Advanced Machine Intelligence)

Seed

$1B • Investors: Cathay Innovation, Greycroft, Hiro Capital, HV Capital, Bezos Expeditions, Toyota Ventures, New Legacy Ventures, Temasek, SBVA, NVIDIA, Mark Cuban, Association Familiale Mulliez, Groupe industriel Marcel Dassault, Sea, Alpha Intelligence Capital, Eric Schmidt, Aglaé Lab, ZEBOX Ventures, Artémis, Xavier Niel, Publicis Groupe, Samsung, Bpifrance Digital Venture, Jim Breyer, Tim & Rosemary Berners-Lee, Mark Leslie

AMI Labs - Updates

Feb 2026

One Robot

Accelerator/Incubator

$500K • Investors: Y Combinator

Dealroom.co

Stanhope AI

Seed

$8M • Investors: Frontline Ventures, Paladin Capital Group, Auxxo Female Catalyst Fund, UCL Technology Fund, MMC Ventures

Stanhope AI press release

Runway

Growth

$315M • Investors: General Atlantic, NVIDIA, Adobe Ventures, AllianceBernstein, AMD Ventures, Fidelity Management & Research Company, Mirae Asset, Emphatic Capital, Felicis, Premji Invest

Runway

World Labs

Series C

$1B • Investors: AMD, Autodesk, Emerson Collective, Fidelity Management & Research Company, NVIDIA, Sea

World Labs

Nov 2025

Luma

new funding round

$900M • Investors: Humain, Advanced Micro Devices' venture arm, Andreessen Horowitz, Amplify Partners, Matrix Partners

www.cnbc.com

Archetype AI

Series A

$35M • Investors: IAG Capital Partners, Hitachi Ventures, Bezos Expeditions, Venrock, Amazon Industrial Innovation Fund, Samsung Ventures, Systemiq Capital, E12 Ventures, Higher Life Ventures, Gaingels, Plug and Play Ventures

Archetype AI

Oct 2025

General Intuition

Seed

$133.7M • Investors: Khosla Ventures, General Catalyst, Raine

TechCrunch

Sep 2025

Artificial Societies

Seed

$5.4M • Investors: Point72 Ventures

Artificial Societies

Aug 2025

Decart

Series B

$100M • Investors: Sequoia Capital, Benchmark, Zeev Ventures, Aleph VC

fortune.com

Jun 2025

Jua.ai AG

Series A

$11M • Investors: Ananda Impact Ventures, Future Energy Ventures, Promus Ventures, 468 Capital, Kadmos Capital

Jua Blog

May 2025

SpAItial

Seed

$13M • Investors: Earlybird Venture Capital, Speedinvest, angel investors

SpAItial Blog

Apr 2025

Runway

Growth

$300M • Investors: General Atlantic, Fidelity Management & Research Company, Baillie Gifford, NVIDIA, SoftBank Vision Fund 2

Runway

Mar 2025

Causal Labs

Seed

$6M • Investors: Kindred Ventures, Refactor, BoxGroup, Factorial, Otherwise, Karman Ventures, angel investors

Causal Labs: Towards general causal intelligence

Jan 2025

1X

Acquisition

TechCrunch

Bioptimus

Series A

$41M • Investors: Cathay Innovation, Sofinnova Partners, Bpifrance, Bpifrance Large Venture, Andera Partners, Hitachi Ventures, Boom Capital Ventures, Pomifer Capital, Sunrise, Emmanuel Cassimatis, Thomas Wolf

Bioptimus

Dec 2024

Decart

Series A

$32M • Investors: Benchmark, Sequoia, Zeev Ventures

TechCrunch

Oct 2024

Decart

Seed

$21M • Investors: Sequoia Capital, Zeev Ventures

Decart

Sep 2024

World Labs

Series A extension

$130M • Investors: Andreessen Horowitz, NEA, Radical Ventures

World Labs

Aug 2024

Noetik

Series A

$40M • Investors: Polaris Partners, Khosla Ventures, Wittington Ventures, Breakout Ventures, DCVC, Zetta Venture Partners, Catalio Capital Management, 11.2 Capital, Epic Ventures, Intermountain Ventures, North South Ventures, ApSTAT Technologies, Linearis Labs and Ventures Fund

Business Wire

May 2024

Patronus AI

Series A

$17M • Investors: Notable Capital, Lightspeed Venture Partners, Datadog, Gokul Rajaram, Factorial Capital, Jonathan Frankle, Jason Warner, Tristan Handy, Michael Callahan, Barr Moses, Aparna Sinha, Nadim Hossain, others

official funding announcement

Apr 2024

Archetype AI

Seed

$13M • Investors: Venrock, Amazon Industrial Innovation Fund, Hitachi Ventures, Buckley Ventures, Plug and Play Ventures

Business Wire

Mar 2024

Stanhope AI

Seed

GBP 2.3M • Investors: UCL Technology Fund, Creator Fund, MMC Ventures, Moonfire Ventures, Rockmount Capital, angel investors

Stanhope AI press release

Feb 2024

Bioptimus

Seed

$35M • Investors: Sofinnova Partners, Bpifrance Large Venture, Frst, Cathay Innovation, Headline, Hummingbird, NJF Capital, Owkin, Top Harvest Capital, Xavier Niel

Bioptimus

Jua.ai AG

Seed

$16M • Investors: 468 Capital, Green Generation Fund, Promus Ventures, Kadmos Capital, Flix Mobility founders, Session.vc, Virtus Resources Partners, Notion.vc, InnoSuisse

TechCrunch

Jan 2024

1X

Series B

$100M • Investors: EQT Ventures, Samsung NEXT, Skagerak Capital, Nistad group

www.1x.tech

Luma

Series B

$43M • Investors: Andreessen Horowitz

techcrunch.com

Patronus AI

undisclosed

Investors: InvestInData

official announcements index

Sep 2023

Patronus AI

Seed

$3M • Investors: Lightspeed Venture Partners, Factorial Capital, Amjad Masad, Gokul Rajaram, Michael Callahan, Prasanna Gopalakrishnan, Suja Chandrasekaran, others

official blog post

Noetik

Seed

$14M • Investors: DCVC, Zetta Venture Partners, 11.2 Capital, Catalio Capital Management, Epic Ventures, Intermountain Ventures, North South Ventures, Chau Khuong, CJNV BioVentures, Viswa Colluru, Hummingbird Nomads Fund, Chris Gibson, Michael Secora

Business Wire

Jun 2023

Runway

series_c_extension

$141M • Investors: Google, NVIDIA, Salesforce Ventures, Amplify Partners, Lux Capital, Coatue, Compound

Runway

Mar 2023

Luma

Series A

$20M • Investors: Amplify Partners, General Catalyst, NVIDIA Ventures, Matrix Partners, South Park Commons

www.contextvc.com

1X

Series A2

$23.5M • Investors: OpenAI Startup Fund, Tiger Global, Sandwater, Alliance Ventures, Thursday Ventures, Skagerak Capital, Trevor Blackwell, Type One

Dec 2022

Runway

Series C

$50M • Investors: Felicis, Amplify Partners, Lux Capital, Coatue, Compound, Madrona

Runway

Dec 2021

Runway

Series B

$35M • Investors: Coatue, Amplify Partners, Lux Ventures, Compound

Runway

Dec 2020

Runway

Series A

$8.5M • Investors: Amplify Partners, Lux Capital, Compound Ventures

Runway

On mobile, only the 10 most recent funding and exit groups are shown.

Activity

Recently added to this landscape

Last updated Oct 07, 2026

Mirror Particle builds foundational models of human behavior by simulating how people perceive, decide, and act.

Society & Human Behavior Added to map Oct 07, 2026

General & Spatial Worlds Added to map Oct 06, 2026

Zenithon builds physics grounded world models that speed up simulation and design for fusion, aerospace, and semiconductor systems.

Earth, Energy & Industrial Systems Added to map Oct 02, 2026

Noetive builds AI systems for physical operations, using world models, agents, and sensing to help industrial businesses plan and adapt in real time.

Earth, Energy & Industrial Systems Added to map Sep 21, 2026

Robotics & Embodied Intelligence Added to map Sep 21, 2026

Veeda AI builds multimodal world models that simulate physical reality so embodied agents and robots can learn through interaction in scalable virtual environments.

Robotics & Embodied Intelligence Added to map Sep 21, 2026

Aether AI builds causal world models that help AI systems reason about how the physical world changes when they act in it, with robotics as its first focus.

Robotics & Embodied Intelligence Added to map Sep 21, 2026

Parisi Labs builds world models for physical industry, starting with energy, to help operators understand current system conditions, evaluate possible futures, and choose better actions.

Earth, Energy & Industrial Systems Added to map Sep 21, 2026

Visko builds live world models that generate and stream interactive worlds in real time.

General & Spatial Worlds Added to map Sep 02, 2026

Artificial Societies builds AI persona networks that simulate how target audiences, stakeholders, and communities will react to messages, products, and policy decisions.

Society & Human Behavior Added to map Jul 27, 2026

Bioptimus is a French AI-biotech company building a universal foundation model for biology to connect and predict across molecular, cellular, tissue, and organism-level data.

Biology Added to map Jul 27, 2026

Noetik is an AI-native biotechnology company that builds foundation models and multimodal data platforms to discover and develop precision cancer therapies.

Biology Added to map Jul 27, 2026

Causal Labs is building a Large Physics foundation Model to learn cause-and-effect in physical systems, starting with weather prediction and control.

Earth, Energy & Industrial Systems Added to map Jul 27, 2026

Archetype AI builds a Physical AI foundation model and platform that turns real-world sensor data into understanding, predictions, and actions for physical environments.

Earth, Energy & Industrial Systems Added to map Jul 27, 2026

Jua builds a foundation model for the physical world, starting with weather and Earth-system simulation, to improve decision-making in energy and other climate-sensitive industries.

Earth, Energy & Industrial Systems Added to map Jul 27, 2026

AI and robotics company building general-purpose humanoid robots, led by NEO for home use and EVE for industrial deployment. ([1x.tech](https://www.1x.tech/about))

Robotics & Embodied Intelligence Added to map Jul 27, 2026

Saturn Dynamics builds world models for embodied intelligence, using physics-aware generative simulation to help train and validate autonomous systems.

Robotics & Embodied Intelligence Added to map Jul 27, 2026

Fern builds high-fidelity, custom robot world models and RL environments that let robotics teams evaluate and train policies in software instead of on physical hardware.

Robotics & Embodied Intelligence Added to map Jul 27, 2026

Market analysis

How Startups Are Building Models of the World

An analysis of 22 world model startups building AI systems that represent and predict how virtual, physical, biological and social systems evolve.