Evidence-based tools for teams that need to show their work. Upload a document for a full review dossier, or embed claim validation directly into your content workflow via API.
Evidence-first tools for regulated content
Upload a prescribing information document, promotional piece, or patient fact sheet. The platform extracts every claim, scores each against authoritative evidence, and delivers an interactive scorecard your review team can act on — integrating into your approval workflow with structured findings and reviewer feedback.
For MLR reviewers, regulatory affairs, medical affairs, and approval workflow owners.
Take a Look →An AI-powered API that checks medical claims against published evidence and verifies cited references — directly from your CMS, CAS, review tools, or agentic AI workflows. Submit a claim, get back a verdict. Submit a reference, know if it has been retracted or corrected.
For content authors, creative agencies, health tech integrators, and AI platform builders.
Join the Waitlist →AI implementation for regulated environments
Beyond our products, we help organizations design and implement AI solutions where correctness matters. Twenty-plus years of enterprise software experience in regulated industries — applied to the problems AI can actually solve.
Get in touchLed by Kevin Liggett — twenty-plus years designing enterprise systems for complex regulated environments. Correctness, provenance, and auditability as first-class requirements. Based in Canada, serving clients globally.
Evidence-first AI — zero trust in generated content
AI analyses evidence — it never generates facts. Every conclusion traces back to a published, citable reference.
Published databases and peer-reviewed literature — recognized sources, not web scrapes. Every score traces to verifiable, published data.
A hard grounding gate blocks any output that lacks traceable evidence provenance. No hallucinated citations, no unverifiable claims.
Product questions, enterprise inquiries, partnership opportunities — we reply to every message.
