About
Shared evidence where founders and investors intersect
MedTech and HealthTech diligence usually means days of first-pass work before the real conversation starts. Healthesis.AI automates that groundwork on a shared evidence engine: founders close gaps before fundraising; investors verify claims and assess risk — both from a cited package in minutes.
Our principles
Evidence first
Conclusions follow from evidence: the company's own documents, official public datasets and independent sources. Where the evidence is missing, the report says so and turns it into a gap to close or a question for management — never filling the gap with assumptions.
Every claim cited
Every statement in a report links to its source, and citations are checked against the cited page or record. If a statement cannot be supported, it is flagged, weakened or removed.
Deterministic calculations
Market sizes and financial metrics are computed in code from cited inputs, never estimated by a language model, so every number can be reproduced and challenged.
Judgement stays with you
Healthesis.AI automates the first-pass evidence package so founders and investors spend time on decisions — not on assembling the file.
Questions or feedback? We would like to hear from you. Get in touch.