Zenlo reads the entire patient profile — labs, history, medications, reference ranges — and finds the patterns between them. Like a doctor who has read everything and forgets nothing, without the time limit.
AI for health, deployed for: doctors · patients · employers · researchers
Not a chatbot. A clinical reasoning pipeline that perceives, knows, and reasons — the same three layers a physician uses, running on validated medical knowledge.
Reads any lab report — PDF, photo, or text — and turns messy clinical documents into structured, normalized biomarker data. Units reconciled, values mapped, nothing dropped.
102 biomarkers with reference ranges specific to age and sex, plus a dependency map of how markers relate. Built from peer-reviewed literature, checked against population data.
15 clinical patterns and 8 types of interaction between them. The engine sees the whole picture — how inflammation, insulin resistance and lipids connect — not isolated out-of-range numbers.
A doctor has minutes per patient and can't hold every study and every cross-marker interaction in their head. The core can. It reads the full profile every time — then the same mind is delivered four different ways.
Every product is a different assembly of the same building blocks. Hover any node to see what it does and where it's reused — that reuse is the whole point.
Status badges are honest — they reflect where each product is today, not the maturity of the engine underneath.
Upload a lab PDF, get a physician-ready synthesis — patterns, HOMA-IR, biological age, an action plan you can sign and lock. A private clinical workspace; the doctor decides what to share.
Preview Labs →Early detection of chronic-disease risk across a workforce — without ever exposing individual health data. Aggregate-only dashboards with k-anonymity enforced server-side. $2 PMPM pilot.
Request a pilot →Full-profile recovery support — labs, medications, symptom journal, therapy calendar, and an AI that knows the whole anamnesis. Caregiver access built in. Closed pilot. Not diagnostic.
Join the early list →An autonomous pipeline: literature scan → adversarial hypotheses → statistical analysis → 5-model clinical review → draft paper. Runs on NHANES + BRFSS. Preprints published in the open.
Read the papers →Every claim on this page traces to a paper or a public benchmark — no marketing numbers.