The brain forheavy industry
Rigidbody combines physics simulations and machine learning to save manufacturers time and money.
Find out moreHow Rigidbody works
Sense
Rigidbody ingests and processes thousands of signals from across your plant in real time, and understands the full picture.
Decide
Machine learning and physics simulation turn that data into operational decisions in seconds. Far faster than any operator.
Act
The software executes the optimal course of action, or hands it to an operator. Your plant, your rules.
About us
We're three engineers who previously worked together on Eindhoven University of Technology (TU/e) student team Splitter. We're building Rigidbody because we believe large-scale operations and fine-grained insight into them aren't incompatible.
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 understands complex physical systems from both an operational and modelling perspective, and ensures 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.
Since we are still setting up official contact channels, please reach out to Rafael for any inquiries.
- /in/rafael-isakov
- Based in
- Eindhoven, Netherlands