Image: Inbolt, via its official press pack.
€11m · Other round · Software · Paris, France
Paris-based Inbolt has raised €11m in financing to expand its real-time vision and control software for industrial robots. Shift4Good led the financing, with Bridges Climate Transition Partners joining and existing investors BNP Paribas Développement and Ora Global participating.
PE Magazine describes the transaction as an €11m extension of Inbolt’s 2024 Series A. The current financing is €11m; the investor announcement says it takes Inbolt’s total funding to €30m. The company plans to use the new capital for expansion in the US and APAC, and to enter data centres and electronics manufacturing.
Retrofitting adaptability into installed robots
Industrial robots typically repeat pre-programmed trajectories and depend on parts arriving in tightly controlled positions. Inbolt adds a robot-mounted 3D camera, a CAD-trained vision model and a control layer that locates each part and adjusts the robot’s path in real time. Its product explainer says a new part can be trained from its CAD file in under five minutes, with the system running across FANUC, ABB, KUKA, Universal Robots, Yaskawa and Comau hardware.
The commercial mechanism is a retrofit rather than a wholesale replacement. Manufacturers can add perception and adaptive control to installed robot stations, reducing the need for rigid fixtures, custom integration and repeated re-teaching when the physical production line differs from the digital plan. That makes the software layer valuable where factories run mixed equipment and need automation that can tolerate normal variation without rebuilding each station around a single robot brand.
Inbolt says its technology is deployed on more than 200 robots in over 100 factories across three continents, with customers including Bosch, Beko, Flex, Ford, Stellantis and Toyota. Those deployments matter because industrial automation buyers need evidence that a vision-and-control system works outside a lab and across different production environments.
From automotive lines to broader industrial workloads
Automotive manufacturing has given Inbolt demanding reference sites, but the funding plan points beyond that base. Data centres and electronics manufacturing introduce different parts, station designs and quality requirements, while expansion in the US and APAC requires local engineering and integration support. The opportunity is to make one intelligence layer portable across these settings; the execution challenge is maintaining reliable performance as the range of tasks and robot platforms grows.
Shift4Good and Bridges frame the investment around more efficient industrial production. The near-term test is more concrete: whether Inbolt can convert its installed-base credibility into repeatable deployments outside automotive, while preserving the faster commissioning and lower integration burden that underpin its retrofit proposition.
