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.
healthcare
AI agents
Why “Average Accuracy” Is a Dangerous Metric for Healthcare AI Agents
If you are building AI agents for the healthcare industry, you have likely already accepted that “average accuracy” is a misleading comfort metric. 💡In healthcare AI agents, hospitals, patients, and buyers are not purchasing technology alone; they are purchasing trust. One unsafe response in a single conversation can escalate and
AI simulation
Evaluating Mental-Health AI Agents Through Clinical-Grade 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