Savvyn.ai provides AI-driven evidence intelligence software for diagnostics and medical device companies, helping them track existing evidence, anticipate competitive data and payer requirements, and prepare regulatory submissions or coverage appeals. The platform consolidates trial reports, publications, and operational data to map approved use cases alerting users to evidence gaps and submission readiness. It supports indication scoping, coverage landscape analysis, and dossier section preparation across the product lifecycle.
Funding
Funding not disclosed
Founders
Product
Problem
Diagnostics and medical device companies struggle to understand what clinical evidence is needed to secure regulatory approval and payer coverage, often leading to delayed market access or denied claims. Misalignment between evidence being generated and payer or regulatory expectations remains a core challenge.
Solution
Savvyn is AI-driven software that tracks a company’s existing evidence, prior competitor approvals, and current payer decisions to show what is required next. It analyzes studies, publications, regulatory submissions, and operational data to map coverage landscapes, identify evidence gaps, and assess submission readiness. The platform produces dossier sections, denial responses, and coverage-facing documents, reducing the manual burden of evidence compilation and strategy planning.
Target Audience
Primary users are early-stage and in-market teams in diagnostics and medical device companies working in medical affairs, market access, and regulatory strategy.
Features
- AI-driven evidence gap analysis built from trial reports, publications, regulatory submissions, and grant applications
- Coverage landscape mapping for specific indications and intended use cases
- Competitor evidence tracking to benchmark against previously approved products
- Submission readiness assessments for regulatory and reimbursement deliverables
- Denial response drafting supported by existing study data to address payer-specific issues