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Spirit AI

🇨🇳 Hangzhou · founded 2024

Hangzhou-based embodied AI startup with the force-controlled humanoid Moz1 and a leading open-source foundational model

Humanoide

Headquarters

Hangzhou

Employee

Models here

1

Listings

0

About the Company

Overview

Spirit AI was founded in February 2024 in Hangzhou by CEO Han Fengtao, who previously conducted research at UC Berkeley and Tsinghua University. The startup positions itself as the Chinese counterpart to Physical Intelligence from San Francisco and has collected over 200,000 hours of interaction data for its embodied AI models since its founding.

Technology and Products

The Moz1 is a humanoid robot with 26 degrees of freedom and continuous force control throughout the entire body. A payload-to-weight ratio of 1:1 and proprietary high-torque joints enable fine motor tasks such as laundry folding, office sorting, and handling flexible objects without task-specific retraining. The underlying language action model ViLa and the constraint model CoPa have been open source since January 2026.

Market Significance

The Spirit-v1.5 model ranked 1st on the RoboChallenge evaluation leaderboard in January 2026 with a task success rate exceeding 50 percent, surpassing Physical Intelligence's pi0.5. A financing round of nearly 2 billion yuan in early 2026 with investors such as Yunfeng Capital, HongShan, and state funds from Hangzhou and Chongqing elevates Spirit AI to the league of China's most established AI robotics startups.

Known for — Model series

Moz1

Humanoid · Force Control · Fine Motor Skills

Technology focus areas

Humanoide RoboterEmbodied AIKraftregelungGrundlagenmodelle

Milestones

2024

Founded in Hangzhou in February.

2025

Presentation of the Moz1 at the World Robot Conference in Beijing.

2026

Spirit v1.5 ranks 1st on RoboChallenge; financing round of nearly 2 billion Yuan completed.

Availability in Switzerland

Currently, procurement in Switzerland is handled through international resellers. No official Swiss distributor is registered.

Models on robothub24

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