Infrastructure & Defence
Defence
In defence, the assumption that the system can be wrong is the starting point of the design. Where authority stops and how a decision is verified come before the model itself.
Problems we address in this sector
- Detection, classification and tracking in imagery and sensor data
- Robustness against adversarial attacks and manipulation
- Human-approved decision flows and defined limits of authority
- Operating in constrained and disconnected environments
Approaches we apply
- Computer VisionObject detection and tracking, video understanding, vision-language models, document intelligence and OCR, real-time inference on edge devices.
- AI Security & PrivacyRobustness against adversarial attacks, prompt injection defence, learning without sharing data, and model confidentiality.
- Reinforcement Learning & Decision SystemsDecision policies that adapt to changing conditions, reward design, training in simulation and safe transfer to the field.
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.