Robotics Simulation
Simulation-first physical-AI work now presented under General Robotics.
GRID: a simulation-first platform for robot learning
Scaled Foundations, founded by former Microsoft Research aerial robotics lead Ashish Kapoor, builds GRID, a platform that combines foundation models for perception, state estimation, safety, and control with simulation for rapid development of robot intelligence. GRID uses the AirGen simulator to generate training data and evaluate robotics policies, with an LLM-powered orchestration layer for natural interaction.
GRID-playground is open source; team behind Microsoft AirSim
This legacy directory profile is awaiting claim-level source migration. Existing values are retained, not upgraded to verified facts.
| Website | scaledfoundations.ai |
|---|---|
| Domains | Robotics, Simulation, Machine Learning |
| Location | Seattle |
| Team size | 1-10 |
| Founded | 2023 |
| Founders | Ashish Kapoor |
Focus areas and technical capabilities are shown separately. Missing technical evidence remains Unknown.
Unknown. No source-backed catalog capability record is available yet.
Products and services supported by official company materials. Reviewed 2026-08-16.
Simulation-first physical-AI work now presented under General Robotics.
Verified public artifacts and documented private commercial inventory.
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Also listed under Robotics, Simulation, Machine Learning.
| Name | Domains | Type / catalog | Location | Team | Funding | Raising |
|---|---|---|---|---|---|---|
| Rise Data Labs RL environments and tasks across multiple domains, supported by a large expert network | Computer Use, Coding, Finance, Cybersecurity, Legal, Data Labeling, Enterprise, Multi-Domain, RLHF, Custom Environments | Data + environments 3 artifacts | New York, United States | 11-25 | - | Unknown |
| Applied Compute Ex-OpenAI trio applying RL to build specialist enterprise models | Enterprise, Machine Learning, Custom Environments | Pure-play commercial Catalog unknown | San Francisco | 11-25 | $80M total at $700M valuation (Oct 2025) | Yes |
| Artificial Analysis Independent benchmarking of AI models across intelligence, speed, and price | Multi-Domain, Machine Learning | Pure-play commercial Catalog unknown | San Francisco | 11-25 | $2.6M (2024) | Unknown |
| Bespoke Labs Data curation and RL environment recipes from ex-Google DeepMind researchers | Coding, Machine Learning | Pure-play commercial Catalog unknown | Mountain View, Menlo Park, Bangalore, San Francisco | 11-25 | ~$40M (reported) | Unknown |
| Collinear Enterprise simulation, judges, and long-horizon trajectory generation | Enterprise, Long Horizon, Machine Learning, Simulation | Pure-play commercial Catalog unknown | Mountain View, Sunnyvale | 11-25 | - | Unknown |
| Diffuse Labs ML and long-horizon RL environments | Machine Learning, Long Horizon | Pure-play commercial Catalog unknown | Palo Alto, San Francisco | 1-10 | - | Unknown |