The intelligence layer for manufacturing
Rigidbody is creating industrial AI that helps mid-sized manufacturers supercharge their processes.
Find out moreHow Rigidbody works
Understand
Local language models work through your docs, tags, process history and limits, so Rigidbody knows your plant before it makes a single prediction.
Predict
Physics-informed models forecast how your processes will perform, not just when a machine will fail.
Advise
Operators get clear, recommended actions with the evidence to back them up. Your plant, your rules.
About us
We're three engineers who previously worked together on Eindhoven University of Technology (TU/e) student initiative Splitter. We're building Rigidbody because the insight the largest manufacturers get from their data shouldn't need a data team only they can afford.
Rafael Marques Isakov
Business Strategist
Rafael holds a BSc in Chemical Engineering and is wrapping up an MSc in Innovation Management at TU/e, giving him both the technical grounding to understand industrial systems and the framework to turn that into a scalable business. His experience with VC firm DeepTechXL and as founder of The InterGrowth Academy shapes how Rigidbody builds its case for funding and partnerships.
Charlie Johnston
AI/ML Lead
Final-year BSc Computer Science & Engineering student at TU/e and student council representative for the Energy Transition Honors Track. Charlie is passionate about machine learning, having applied AI throughout his studies and in his work with HERE Technologies and SMART Photonics. As AI/ML lead and principal software engineer, he's designing the AI systems powering Rigidbody.
Alex Udrea
Control Systems Engineer
Alex holds a BSc in Mechanical Engineering and is pursuing an MSc in Mechatronic Systems Design at TU/e. He bridges the operational and modelling components of physical systems, ensuring Rigidbody's software is safe, reliable, and validated through prototype testing. This mix of technical depth and hands-on engineering turns Rigidbody into a robust, scalable solution.
Contact
Tell us about your plant and what you are trying to optimise, and we will come back with what Rigidbody would do with your data.
- contact@rigidbody.nl
- /company/rigidbody-ai
- Based in
- Eindhoven, Netherlands