AI that perceives, decides and acts in the physical world.
Physical AI is AI that works through robots: it sees its surroundings, decides what to do and moves to do it. Language models learn from text. Robots that do skilled manual work can only learn from real data of skilled people doing that work: what they see, how their hands and tools move, and the decisions they make along the way.
AMPS exists to move automotive repair and maintenance towards physical AI. We capture that data in real repair, maintenance and service work.
Robots are already working on vehicles.
Autonomous and robot-assisted maintenance has started with narrow, well-defined jobs. The next step is everyday repair, maintenance and service, and that depends on physical-AI models learning from real data of skilled repair work.
Six things that make AMPS repair data useful for physical AI.
Physical-AI models are only as good as the demonstrations they learn from. Every AMPS capture is built to be real, complete, consistent and safe to use.
Skilled repair know-how goes unrecorded. Physical AI needs it.
How skilled technicians repair, maintain and service vehicles lives in their hands and heads. Robots are now learning manual work from recordings of people doing it. Physical AI for repair won't come from simulation alone. It needs real data from real workshops, and almost nobody is collecting it yet.
Every repair recorded. Every repair a lesson for physical AI.
An AMPS programme captures skilled work where it happens: in real repair, maintenance and service jobs. With tablets and smart glasses, AMPS technicians record hand-eye coordination, repair times, decision paths and the key moments of each job. The footage and logs are anonymised, then structured into data that physical-AI models can learn from. The repair work itself is completed along the way.
From one workshop to a whole dealer network.
OEMs and importers bring the AMPS programme into their dealer networks. Large dealer groups run it across their sites. The network's everyday repair, maintenance and service work becomes a structured, anonymised dataset: the foundation for physical-AI-enabled aftersales.
What each workshop gains along the way.
The data captured in your bays is not only useful to physical AI. It also makes your own workshop easier to run, easier to train for and better prepared for automation.
Location-specific, step-by-step training material built from real repairs in your own workshop: on the vehicles you service, with your tools and your bay layout. It is kept up to date as new repairs are captured, so less-experienced staff can carry out defined jobs with guidance and new staff get up to speed faster.
How a repair becomes training data.
Four steps, in this order. Nothing is processed before it has been anonymised.
Every bay holds repair knowledge worth capturing.
Routine service is repeated thousands of times a day across Europe. That makes it the richest source of consistent, comparable repair data, and the first candidate for robot assistance.
Robots are learning from skilled hands.
Carmakers, start-ups and research teams are teaching machines skilled physical work, from factory floors to emergency response. Physical AI is spreading to every field where perception, hand-eye coordination and judgement matter, and it depends on real-world data. Automotive repair is next, and AMPS captures that data.
Nobody is recorded without knowing it. Nothing is used before it is anonymised.
Value today, and a stake in what comes next.
Our dealer network’s everyday repair work becomes the data that brings physical AI into our aftersales.
From first call to first captured repair.
The programme in detail →Tell us about your network or workshop.
Which brands, sites and repair areas, and from when. We come back with a programme proposal that sets out the capture scope and deliverables.
One clear route for every question.
OEMs, dealer groups & workshops → I want a programme proposal sales@automps.eu · +91 79 2685 2554 Automation & AI partners → I’m interested in repair data Collaboration and research · contact@automps.eu Technicians → I want to help build the future of repair Repair, robotics and physical AI · join AMPSWhat OEMs and dealer groups ask first.
AMPS exists to move automotive repair and maintenance towards robotics, that is physical AI. In real workshops, AMPS captures anonymised data from repair, maintenance and service work: hand-eye coordinated movements, repair times, key moments and decision paths. The data is structured so physical-AI models can learn skilled repair. The repair work itself is completed as part of the programme.
