One Robot
World models for robot evals and training.
What they do
Robotics teams are bottlenecked by slow, expensive, hard-to-scale real-world robot time for training and evaluating manipulation policies.
It builds world model-based, task-specific simulation environments that are visually and physically realistic for training and evaluating robot policies.
Robotics teams developing and testing manipulation policies, especially in manufacturing and material handling.
Founders
Bringing robots to life using world models and machine learning. Previously built robot learning and perception systems at Industrial Next, Symbio Robotics, NASA JPL, and Google. Bootstrapped geospatial AI company, Crescer AI, to profitability.
Robotics, SW/FW. Previously built robot learning and control system at Industrial Next and helped build Dojo at Tesla.
Open roles 4
Company timeline
- Founded2025
- YC batchWinter 2026
- StatusActive
- Team size2 people
- LocationSan Francisco, CA, USA
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