Neural Continuity Labs builds AI that understands the physics of industrial systems: models that see what happens inside a plant and anticipate what comes next.
Get in touchIndustrial systems are measured at a few points. What happens in between is left to experience. We build models that combine the physics of a system with the data it produces, to give engineers a complete and trustworthy picture.
Our models start from the laws that govern a system, rather than from data alone. This keeps them reliable where data is scarce.
They are trained on measurements from real systems, which are rich and noisy, so they capture what the equations leave out.
They run alongside the plant, fast enough to be useful, and report how much each estimate can be trusted.
Wherever a physical process runs at scale and is watched through a handful of instruments.
We want to build superintelligence for science.
Models that propose a hypothesis, test it against measurements, and improve.
Neural Continuity Labs grew out of doctoral research in AI and 3D reconstruction at Université Paris-Saclay.
The company is founded by Akash Malhotra and supported by Inria Startup Studio.
We start where it matters most today: industrial systems.