Generation Lab

Bel — a health companion that lives in your text messages. Most people's health data is scattered, jargon-heavy, and stranded in PDFs and dashboards they open once and never again. A blood panel comes back "all normal" and tells you nothing about where you're trending. A biological-age report, a wearable export, a week of meals — each sits in its own silo, and the apps that hold them all demand that you show up, so engagement decays within weeks. There's no calm, trusted presence that watches your biology over time and tells you what actually matters, in plain language, where you already are. Bel solves that by meeting people on the one interface everyone already has and checks all day: SMS. You text a normal phone number and get replies from Bel — a warm, understated companion whose whole job is to stay. No app to install, works on any phone. How it works - Two-speed replies. Every message gets an instant, conversational answer; when something deserves real analysis, Bel runs a background panel of domain specialists (biological-age report, blood panel, wearables, nutrition) and sends a second, deeper text moments later — responsive and rigorous, behind one voice. - Grounded, not guessed. Specialists consult an embedded knowledge base (food macros, evidence-based interventions) database-first, so guidance is grounded rather than hallucinated. - Drop in any file. Text a food photo, or a link to a lab PDF or wearable CSV — Bel classifies it, extracts a structured record, and hands back an instant "data dividend." Later questions automatically ground on what you've shared. - Honest by design. Every finding is "a flag, not a diagnosis," routes you to a provider, and never overclaims; consent and one-word opt-out are built in. Under the hood it's a real, production-shaped backend — live Twilio messaging, Anthropic models routed by task (a frontier model for the companion, faster models for specialist analysis and file classification), Postgres + a durable job queue, and exactly-once reply guarantees — not a demo script. The result is a health companion that turns raw biomarkers into a continuous relationship, one text at a time.

Team

+1

Placement

Finalist