The super project in the robot track has arrived @UMA_Robots. The AI company Hugging Face, valued at over $4.5 billion, has just publicly launched its core team's new venture 5 days ago. 1/ Project advisor Yann LeCun, the father of deep learning.

The super project in the robot track has arrived @UMA_Robots

AI company Hugging Face, valued at over $4.5 billion, is re-entering the entrepreneurial scene with its core team.

The project was just made public 5 days ago.

1/ Project Advisors

Yann LeCun

Father of deep learning, 2018 Turing Award (Nobel Prize in Computing) winner.

Yann LeCun is also an angel investor in UMA.

Thomas Wolf

Co-founder and Chief Scientist of Hugging Face.

Hugging Face is valued at over $4.5 billion.

Starting from a teenage chatbot, it is now the core engine for AI democratization.

Youssef El Manssouri

Co-founder and CEO of Sesterce.

Sesterce is a company that builds supercomputing infrastructure specifically for AI training and inference.

A €52 billion investment plan aims to deploy 1.2 million GPUs by 2030.

2/ Founding Team

Rémi Cadene (CEO)

Chief Research Scientist at Hugging Face, Senior Scientist at Tesla.

Creator of the open-source robot learning framework LeRobot.

Simon Alibert

Machine Learning Engineer at Hugging Face.

Pierre Sermanet (Chief Scientist)

PhD from New York University, top researcher in computer vision and robot learning.

Research Scientist at Google DeepMind.

A 20-year veteran in deep learning and robotics research.

From the team composition, it is essentially the core team of Hugging Face's robotics department re-entering the entrepreneurial scene, with full support from the founders of Hugging Face.

3/ Technological Differentiation: Physical Intelligence

The core of UMA is not the traditional "task-executing robots," but "physical intelligence"—enabling robots to truly understand the laws of operation in the physical world.

Pilot deployments are expected to start in logistics, manufacturing, and healthcare by 2026.

Specific manifestations:

Human-level dexterity in operations.

Real-time adaptation to complex environments.

Skills learned from one task can be transferred to other scenarios.

Lightweight design + maintainability, truly aimed at mass production.

To put it simply.

Traditional industrial robots are hard programmed, requiring each action to be pre-set.

What UMA aims to achieve is soft intelligence, allowing robots to observe, learn, and adjust like humans.

4/ Conclusion

According to official sources, UMA's seed round investors include top institutions such as Greycroft, Relentless Ventures, and Unity Growth.

All are top-tier Web2 institutions.

At the same time, a group of T0 Crypto KOLs is promoting UMA.

Whether UMA will ultimately go for an IPO or issue tokens remains uncertain.

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