Healthtech

AI agents for healthtech

Agents in clinical and health products, where a confident wrong answer is the failure mode that actually matters.

Why this one is different

Health products fail differently. A hallucinated citation in a marketing tool is embarrassing; in a clinical context it's harm. The engineering problem is building a system that knows the boundary of what it knows and routes to a human before it crosses — reliably, not usually.

What we build

01
Grounded clinical retrieval
Answers tied to a specific source passage, with the passage shown alongside, so a clinician verifies rather than trusts.
02
Intake and documentation
Unstructured notes and forms into structured records, with the original text attached to every extracted field so nothing is asserted without provenance.
03
Triage support
Strictly scoped agents that gather and route, built so they are architecturally incapable of advising.

What has to be right

Refusal is a feature

The system has to be able to decline. We build explicit abstention paths and escalation rules, then evaluate on the cases where the correct answer is "a person should handle this."

Other segments