Robotics and physical AI labs
These labs train general models that control robots: one model for many robot bodies and many tasks, instead of a program per task. Some sell the model alone, some build robots around it. The table quotes how each lab describes its work.
Labs listed16with a verified profile
Confirmed funding$5Bsum of confirmed rounds
Valued $1B+6by confirmed valuation
Founded2017–202611 since 2024
| What it builds | HQ | Founders | ||||
|---|---|---|---|---|---|---|
| SSkild AIGraduated | General-purpose robot foundation model (Skild Brain) for any robot and task skild.ai We are building a unified, omni-bodied brain to control any robot for any task.checked 9 Nov 2026 | 2023 | CA / PA, US | $1.7B | $14B | Deepak Pathak, Abhinav Gupta |
| GGeneralistCore | Embodied foundation models for robots, starting with dexterity generalistai.com We build embodied foundation models, starting with a focus on dexterity.checked 9 Nov 2026 | 2024 | San Francisco, CA, US | $600M | $2B$3B reported | Pete Florence, Andy Zeng, Andrew Barry |
| PPhysical IntelligenceCore | General-purpose robot foundation models (VLAs) and cloud API for any robot pi.website developing learning algorithms to create a model that will control any robot to do any task.checked 9 Nov 2026 | 2024 | San Francisco, CA, US | $600M | $5.6B$20B reported | Karol Hausman, Sergey Levine, Chelsea Finn +4 |
| GGigaAICore | World models and foundation models for physical AGI and general-purpose robots (GigaWorld, GigaBrain) | 2023 | Beijing, CN | $512M | $1.46B$3B reported | Huang Guan |
| RRhoda AICore | Robot foundation models trained on web-scale video and post-trained on robot data, deployed in industrial settings robotics247.com unveiled FutureVision, which it described as a new approach to robotic intelligence based on video-predictive controlchecked 9 Nov 2026 | 2024 | Palo Alto, CA, US | $450M | $1.7B | Jagdeep Singh, Eric Chan, Gordon Wetzstein +2 |
| FFieldAIGraduated | General-purpose embodied AI models ('Field Foundation Models') for robots across construction, energy and urban operations techcrunch.com FieldAI builds “Field Foundation Models,” which are general-purpose embodied AI models rooted in physics.checked 15 Nov 2026 | 2023 | Irvine, CA, US | $314M | —$10B reported | Ali Agha |
| RRekaCore | Multimodal and omni models and infrastructure for physical AI reka.ai an AI research lab building foundational intelligence for the physical worldchecked 9 Nov 2026 | 2022 | Sunnyvale, CA, US | $170M | — | Dani Yogatama, Cyprien de Masson d'Autume, Mikel Artetxe +2 |
| EEka RoboticsCore | Vision-Force-Action robot manipulation model with a force-sensitive gripper ekarobotics.com We are building intelligence for the physical world in its native language: force.checked 10 Nov 2026 | 2025 | Cambridge, MA, US | $150M | $1.45B | Pulkit Agrawal, Tuomas Haarnoja |
| DDyna RoboticsCore | Builds robots and robot foundation models that complete end-to-end workflows in hospitality, logistics and factory operations dyna.co Dyna Robotics builds commercial-grade robots that complete end-to-end workflows in hospitality, logistics, and factory operations.checked 9 Nov 2026 | 2024 | Redwood City, CA, US | $120M | — | Lindon Gao, York Yang, Jason Ma |
| GGenesis AICore | Physical AI research lab building a universal robotics foundation model and a robotics platform therobotreport.com Genesis AI, a physical AI research lab and full-stack robotics companychecked 9 Nov 2026 | 2024 | Palo Alto, CA, US | $105M | —$3B reported | Zhou Xian, Théophile Gervet |
| DDream LabsEmerging | Robot foundation model (Dream-1) available through a public API dreamlabs.ai Dream-1 is a robot brain built to work across different robots, tasks, and environments.checked 10 Nov 2026 | 2026 | San Francisco, CA, US | $90M | — | Joel Jang |
| CCovariantGraduated | AI foundation models for warehouse robotics (Covariant Brain): picking, sortation, induction geekwire.com focuses on AI-powered robotics systems, which are based on a platform that it calls the “Covariant Brain.”checked 15 Nov 2026 | 2017 | Emeryville, CA, US | $75M | — | Pieter Abbeel, Peter Chen, Rocky Duan +1 |
| RRLWRLDEmerging | Dexterity-first foundation models for robot hands, trained on industrial data rlwrld.ai RLWRLD builds dexterity-first foundation models that help robots see, think, learn and use their hands in the real world.checked 15 Nov 2026 | 2024 | Seoul, KR | $41M | — | Jung-hee Ryu, Jinwoo Shin |
| MMachentaEmerging | Robot foundation model that learns new tasks from a single demonstration, trained in simulation machenta.com We're a frontier AI company, building a new kind of robot foundation model. One demonstration, no further training.checked 10 Nov 2026 | 2025 | London, GB | $40M | — | Edward Johns, Vitalis Vosylius |
| EEnact IntelligenceEmerging | AI models to control robots, with actuators that double as force and touch sensors | 2026 | CH | $30M | — | Manuel Yves Galliker |
| PPerceptronEmerging | Multimodal vision-language models for physical AI (perception, reasoning and robot control) perceptron.inc Today we are releasing Isaac 0.5, our new open-source embodied foundation model.checked 15 Nov 2026 | 2024 | Bellevue, WA, US | — | — | Armen Aghajanyan, Akshat Shrivastava |
Raised = sum of rounds with Confirmed status. Valuation = latest confirmed figure; a reported figure from talks is shown below it and is not confirmed. Sources for every figure are on each lab's page.
Latest funding rounds in this field
| Date | Round | Amount | Valuation | Lead investors | Status |
|---|---|---|---|---|---|
| 27 Oct 2026 | Machenta Seed | $40M | — | Creandum, Union Square Ventures | Confirmed |
| 22 Oct 2026 | Enact Intelligence Pre-Seed | $30M | — | not disclosed | Confirmed |
| 20 Oct 2026 | Eka Robotics Series A | $150M | $1.45B | Andreessen Horowitz, F-Prime | Confirmed |
| 19 Oct 2026 | Dream Labs Seed | $90M | — | B Capital, Kindred Ventures | Confirmed |
| 2 Oct 2026 | FieldAI Funding round | $700M | $10B | not disclosed | Reported |
| Oct 2026 | Physical Intelligence Funding round | $1B | $20B | not disclosed | Reported |
How a lab gets on this list
A lab is listed when its research focus on record is a model for robots or embodied systems. Companies whose main product is a robot, with no general model of their own, are outside the list.
Every lab here also meets the rules for a neolab profile: a research-led company with named founders, a stated focus, a headquarters and a funding status, each with a public source. The tier under each name follows the methodology.
What is not here. Robot makers and industrial automation companies are not neolabs and are not profiled here.
Other fields
- AGI and superintelligence labs: 15 labs
- World model labs: 8 labs
- AI for science labs: 17 labs
A lab is missing, or its description is out of date? Suggest an entry with a public source.