Self healing AI for industrial robots
KinetOps is the AI immune system for robotic fleets. We detect failures. We retrain models. We deploy fixes before robots break.
Robots fail in the real world. This is the Day Two Problem.
Robots perform perfectly during testing. Then the real world changes. A new part shape arrives. Lighting shifts. A surface reflects more light. The robot misclassifies. The AI confidence drops. The line stops.
This failure is not mechanical. It is the AI model losing accuracy as the environment drifts. This is catastrophic forgetting.
Integrators suffer unbillable call outs. Manufacturers suffer downtime. Everyone loses money.
- AI models degrade after deployment
- Real world drift breaks perception
- Every fix requires expert engineers
- Production stops without warning
- No cross platform solution exists
The first self healing MLOps platform for robotics
KinetOps turns every robot into a learning system. The platform monitors. detects. retrains. validates. and updates AI models automatically.
Detect
An on-robot edge agent watches model confidence. When a drift event occurs, it captures a five second failure clip with video. point cloud. sensor data. and logs.
Retrain
our cloud training engine. We apply continual learning. domain adaptation. and test time adaptation to create a stronger model.
Validate
Before deployment the new model is tested inside a digital twin. The system checks for accuracy and avoids catastrophic forgetting.
Deploy
The validated model updates the robot overnight through secure OTA. The robot begins the next shift smarter than before.
About us
We are building the immune system for industrial robots
KinetOps is a UK deep tech company focused on reliability for AI driven robotics.
We partner with system integrators.
We collaborate with leading universities.
We turn real world failures into collective intelligence.
Our mission is simple.
Robots that never fail the same way twice