Proception settled Tesla lawsuit and raised $11M for robotic hands

Startup Proception settled a year-long legal dispute with Tesla over theft of trade secrets and immediately raised $11 million in seed funding. Behind this story stands Jay Lee, a former Tesla Optimus engineer — and the problem that Musk has yet to solve for his flagship robot: creating truly dexterous, high-precision robotic hands.

A Year in Court — and a Settlement

Tesla sued Jay Lee shortly after he left the Optimus team and founded Proception. The company accused the former engineer of using confidential developments and trade secrets while creating competing technology in the same field — robotic manipulators. The legal dispute lasted about a year. The parties did not disclose details of the settlement — standard practice in such cases. But the very fact of settlement is critically important: Proception gained the ability to work without legal uncertainty hanging over its head. The fact that the company announced the close of the funding round immediately after settlement suggests that investor negotiations ran in parallel — they were waiting for legal clarity before entering.

$11 Million from First Round Capital

The round was led by First Round Capital — one of the most authoritative early-stage venture funds. Its portfolio has included Uber, Airbnb, and Notion at various times. Such an investor, consciously entering a startup that had just emerged from a lawsuit with Tesla, is a strong signal of confidence in the team and technology. Proception has already moved from development to a real product: the first batch of high-precision robotic hands has been shipped to research teams. This means the product exists in metal, not just in a pitch deck.

The Task Tesla Has Not Solved

High-precision robotic hands — so-called dexterous hands — are one of the most complex engineering frontiers in humanoid robotics. The human hand performs thousands of types of movements with fine control of force and speed. Reproducing this mechanically at an industrial scale has not been achieved by anyone yet. Jay Lee worked on precisely this task at Tesla. According to Proception, Optimus still cannot reliably handle a number of basic manipulations:

• Working with small fastening elements — bolts, nuts, connectors
• Controlling force when grasping fragile or soft objects
• Adapting grip to unfamiliar object shapes in real time
• Coordinated movements of all five fingers during complex tasks

"We are building hands that

Tesla has not yet managed," said representatives of Proception in an interview with TechCrunch.

Humanoid Boom as Background

Proception's story unfolds at a moment of record investor interest in humanoid robots. Figure AI, 1X Technologies, Agility Robotics, Apptronik — each of these startups has raised hundreds of millions of dollars in pursuit of the "worker robot" niche for factories and warehouses. Tesla Optimus remains the most prominent player in this race, but concrete technical results so far do not match the scale of promises. Modular solutions — like Proception's hands — could become a strategically important link for the entire industry. If the startup has truly solved the problem that others could not, it has a chance to become a key supplier of components to competitors.

What This Means

Settlement of the lawsuit eliminated the main legal risk, the round from First Round Capital provides resources for scaling, and the first shipments to researchers confirm: the product is real. If Proception's high-precision hands truly outperform what Optimus has, the company occupies a rare position — key technology for an industry that is just gaining momentum.