Scaled Foundations
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
| Website | scaledfoundations.ai |
|---|---|
| Domains | Robotics, Simulation, Machine Learning |
| Location | Seattle |
| Team size | 1-10 |
| Founded | 2023 |
| Founders | Ashish Kapoor |
Similar startups
Also listed under Robotics, Simulation, Machine Learning.
| Name | Domains | Location | Team | Funding | Raising |
|---|---|---|---|---|---|
| Rise Data Labs US-based expert human data and custom RL environments for enterprise AI | Computer Use, Coding, Finance, Cybersecurity, Legal, Data Labeling, Enterprise, Multi-Domain, RLHF, Custom Environments | United States | - | - | Yes |
| Applied Compute Ex-OpenAI trio applying RL to build specialist enterprise models | Enterprise, Machine Learning, Custom Environments | 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 | San Francisco | 11-25 | $2.6M (2024) | - |
| Bespoke Labs Data curation and RL environment recipes from ex-Google DeepMind researchers | Coding, Machine Learning | Mountain View, Menlo Park, Bangalore, San Francisco | 11-25 | ~$40M (reported) | - |
| Collinear Enterprise simulation, judges, and long-horizon trajectory generation | Enterprise, Long Horizon, Machine Learning, Simulation | Mountain View, Sunnyvale | 11-25 | - | - |
| Diffuse Labs ML and long-horizon RL environments | Machine Learning, Long Horizon | Palo Alto, San Francisco | 1-10 | - | - |