clinical evaluation
How do you confidently know which AI model is best for your use case?
Benchmarking GPT-4o, Claude Sonnet 4.6, MedGemma 4B, and MedGemma 27B across 500+ simulated patient conversations on healthcare AI.
clinical evaluation
Benchmarking GPT-4o, Claude Sonnet 4.6, MedGemma 4B, and MedGemma 27B across 500+ simulated patient conversations on healthcare AI.
AI simulation
We have had the privilege of working closely with one of a global mental-healthcare organisation building safe, evidence-based conversational AI for triage, therapy support and chronic-care management. Across product, engineering, conversation design, and even clinical teams, we consistently saw the same challenge surface again and again: “We can’t afford
AI agents
One of my biggest fears while releasing AI agents was their unpredictable behaviour in production. You can test in staging, run evals on golden datasets, and even have your team dogfood the agent, yet the moment real users arrive, everything breaks. As AI agents move into customer-facing roles, these unpredictable