Manufacturing & Industry
Automotive
In automotive, AI runs both on the production line and in the vehicle itself. Both sides share one problem: defining in advance what happens when the deciding system gets it wrong.
Problems we address in this sector
- Defect detection on body and paint surfaces, assembly verification and part traceability
- Object detection and scene understanding for driver assistance systems
- Running models on constrained in-vehicle processors within an energy budget
- Continuous improvement from field data and regression tracking across version transitions
Approaches we apply
- Computer VisionObject detection and tracking, video understanding, vision-language models, document intelligence and OCR, real-time inference on edge devices.
- Reinforcement Learning & Decision SystemsDecision policies that adapt to changing conditions, reward design, training in simulation and safe transfer to the field.
- MLOps & Model OperationsEvaluation infrastructure, observability, hallucination and regression tracking, continuous retraining.
Other sectors in this group
Do you have a problem in this sector?
Let's define the problem together in a technical consultation; feasibility is assessed at the first stage.