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Freestyle Research is developing tools that bring reliability and transparency to AI-driven robotics. We apply cutting-edge mechanistic interpretability techniques to end-to-end robotic control systems, enabling engineers to diagnose, debug, and improve complex learned behaviors without retraining. Our work focuses especially on developing foundation models for dexterous manipulation, combining deep learning with interpretability to unlock robust performance in complex, real-world environments.

Employees 4 (1 on RocketReach)
Founded 2025
Industry Robotics Engineering

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Tim Mueller-Sim is the Co-Founder of Freestyle Research.

1 people are employed at Freestyle Research.

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