Health & Life Sciences
Healthcare
In healthcare, how a decision is justified and where patient data is processed matter as much as model accuracy. Privacy is part of the architecture in this field.
Problems we address in this sector
- Finding detection and prioritisation in imaging data
- Justification and verifiability in clinical decision support
- Processing patient data without it leaving the institution
- Model stability across different devices and protocols
Approaches we apply
- Computer VisionObject detection and tracking, video understanding, vision-language models, document intelligence and OCR, real-time inference on edge devices.
- MLOps & Model OperationsEvaluation infrastructure, observability, hallucination and regression tracking, continuous retraining.
- AI Security & PrivacyRobustness against adversarial attacks, prompt injection defence, learning without sharing data, and model confidentiality.
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.