Inbolt CEO Highlights Deployment Bottleneck in Physical AI at RoboBusiness
Inbolt’s CEO Rudy Cohen will speak at RoboBusiness 2026 in Santa Clara, California, arguing that physical AI’s real challenge is deployment, not data. The company has already installed vision‑guided control in more than 100 factories and completed over 40 million robot cycles, yet Cohen says the bottleneck lies in the perception‑to‑motion loop and the integration tax that turns each deployment…
Key points
- Inbolt deployed vision‑guided control in 100+ factories, 40M+ robot cycles
- CEO Rudy Cohen cites perception‑motion loop as main deployment bottleneck
- Company raised €20M ($23.2M) since 2019 and operates worldwide
Cohen will use production data from Stellantis, Toyota and Ford to demonstrate that physical AI is commercially proven, but its benefits are hidden behind long fixture, wiring and return‑time costs. Inbolt, founded in 2019, has raised €20 million ($23.2 million) and now operates across Europe, the U.S. and Japan.
The talk aims to shift the narrative from larger models to closing the loop at servo frequency, showing how real‑time control layers can turn digital twins into live robot execution and reduce deployment time and cost.
Inbolt to discuss physical AI’s deployment problem at RoboBusiness
The Robot Report · 7 September 2026
Physical AI’s consensus says progress is gated by data. More of it, better curated, better simulated. That’s true in the lab. In the factory, it’s the wrong constraint. After deploying vision-guided control across over 100 factories and 40 million-plus robot cycles, Inbolt CEO Rudy Cohen says the real bottleneck is the loop between perception and motion, and the integration tax surrounding it.
At RoboBusiness, which will be on Oct. 20 and 21 in Santa Clara, Calif., Cohen will give the talk, “Physical AI Doesn’t Have a Data Problem; It Has a Deployment Problem.” The talk will take place at 2:15 p.m. on the first day of the show.
Cohn will reframe where physical AI actually pays off. Not in bigger models, but in closing the loop at servo frequency and collapsing the months of fixtures, wiring, and returning that make every deployment a six-figure project.
Using production data from lines at Stellantis, Toyota, and Ford, Cohen will make the case that physical AI is already commercially proven, just not where the headlines are looking.
About the Cohn and Inbolt
Rudy Cohen is the co-founder and CEO of Inbolt, a startup bringing vision and AI to robotics in manufacturing. He began his academic journey as a researcher in applied mathematics at École Normale Supérieure Paris-Saclay, before completing a Master’s in entrepreneurship from École Polytechnique and HEC Paris.
Inbolt is building a real-time control layer that turns digital twins into live robot execution. Since its founding in 2019, the company has raised €20 million ($23.2 million U.S.) and now operates in over 100 factories across Europe, the U.S., and Japan.
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