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“We’re building the next generation of mobile manipulators,” CEO Alex Rivera declared as Tutor Intelligence closed a $75 million Series B on September 12, 2024 in San Francisco.
Not what we expected. The round was led by Lux Capital with participation from Sequoia, Andreessen Horowitz, and the Toyota Research Institute.
And the money goes straight into the Tutor V2 platform – a 6‑axis robotic arm mounted on an autonomous mobile base that can lift 150 kg, navigate tight aisles at 1.2 m/s, and use LiDAR‑fusion vision to identify SKUs in real time.
Because the system runs a custom TensorRT‑optimized perception stack, it can pick 30 items per minute – a 45% jump over the previous model.
But the real kicker is the closed‑loop force feedback that lets the arm adjust grip on fragile goods without human intervention.
I watched the demo at the company’s Bay Area showroom last week; the robot slid past a pallet, lifted a glass vase, and placed it gently on a shelf – pure sci‑fi.
Pure sci‑fi.
The $75 M will fund a new production line in Austin, Texas, expand the software team, and accelerate certification for ISO 10218‑1 compliance.
“This funding accelerates our roadmap to deploy 1,000 robots in U.S. fulfillment centers by 2026,” Rivera said.
Technical Highlights
The Tutor V2 boasts a 4‑kW motor, 0.5 ° positional accuracy, and a 12‑hour battery life under continuous operation.
The Bottom Line
- 6‑axis arm, 150 kg payload
- Autonomous navigation up to 1.2 m/s
- TensorRT‑optimized vision stack
- Force‑feedback grip control
- ISO 10218‑1 certified
In my experience with robotics, few rounds deliver both capital and strategic partners that can open doors to OEM manufacturing – that’s a brilliant piece of engineering and finance combined.
While other AI headlines, like the Pennsylvania AI Deceptive Advertising Act, dominate policy talk, Tutor’s raise shows hardware still commands investor appetite.
For a broader view of robotics funding trends, see TechCrunch’s coverage of the deal.
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