Seed-stage healthtech founder
AI-assisted triage tool for a healthtech startup
AI / LLM
Product design
MVP build
-60%
Triage time
8wk
Discovery to MVP
1
Funding round closed
The challenge
A seed-stage founder needed an MVP to show investors: clinicians were spending hours manually sorting inbound patient enquiries.
What we built
We built an LLM/RAG triage assistant that classifies and summarises enquiries with a clinician-in-the-loop review UI, delivered in an 8-week discovery-to-MVP sprint.
A human-in-the-loop design kept clinicians in control while automation removed the repetitive sorting — the kind of measurable, safe AI feature that stands up to investor and regulator scrutiny.
“They shipped a working, clinician-safe AI product in eight weeks — it is what got us over the line with investors.”
Built with
Next.js
FastAPI
RAG
Anthropic / OpenAI
Azure