You have the data.
Now what?

The evidence intelligence platform for life sciences. Built for what happens after the science is done.

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Structure Reason Recommend EVIDENCE INTELLIGENCE FOR LIFE SCIENCES.
// The Problem

Strong science doesn't guarantee patient impact.

The last mile of science is where breakthroughs stall. Not because the science failed — but because the evidence is scattered, the requirements are opaque, and there's no structured way to turn what you've built into a decision.

<1 in 10
Teams confident in their evidence strategy
Uncertainty is the problem
50–100+
Documents per strategic submission
Scattered across disconnected systems
5–7 yrs
Approval to broad patient access
Approval alone isn't enough
60–70%
Medical Affairs time spent on synthesis
Not on strategy

<1 in 10: Deloitte 2024 Life Sciences Report. 5–7 yrs: Health Affairs; peer-reviewed policy analyses. 50–100+ documents: industry benchmark; founder analysis based on 15+ years in precision oncology and diagnostics. 60–70% synthesis time: McKinsey; Deloitte life sciences surveys.

// The Evidence Lifecycle

The evidence lifecycle, structured end to end.

From a dataset to a discovery to a product in a new market — the path to patient impact runs through four distinct stages, each with different requirements, stakeholders, and standards of proof. Most teams rebuild their evidence case from scratch at every step. Savvyn structures it once and carries it forward.

01

Innovation

Data is generated — but rarely structured for downstream use.

Where evidence is born
02

Evidence

Studies and analyses synthesized, gap-analyzed, and mapped to payer and regulatory frameworks.

Where Savvyn restructures
03

Access

Coverage decisions and payer submissions demand structured, credible evidence — built fast.

Where Savvyn accelerates
04

Impact

Innovations reach patients. Teams move forward with reusable evidence architecture.

Where it all lands
// The Platform

One engine. Every decision framework.

Every evidence decision has different requirements — a payer needs different proof than a regulator, who needs different documentation than a due diligence team. Savvyn ingests your trial reports, publications, and submissions, structures what's there against each set of requirements, and tells you exactly where your evidence holds up, where it falls short, and what to prioritize next.

INPUTS
Trial Reports
Reg. Submissions
Publications
Grant Applications
Pitch Decks
Spreadsheets
Operational Data
EXTRACT what you have STRUCTURE what it means CONNECT where gaps are SURFACE what to do next CONTINUOUS LEARNING
DECISION FRAMEWORKS
Due Diligence
Evidence readiness · portfolio fit
Payer / Market Access
AMCP · LCD requirements
Regulatory Strategy
FDA pathways · HTA criteria
Medical Affairs
Publication planning · KOL strategy
Clinical Adoption
Real-world utilization · access gaps
// The Difference

The knowledge was never on the internet.

The sources are scattered and hard to find. The knowledge to interpret them took decades to develop. The workflow to connect clinical evidence to publications to payer policy to regulatory decisions — that was never written down. Savvyn encodes all three and puts them to work together.

Encoded Expertise

Built from the inside out.

The logic behind evidence decisions, gap analyses, and submission requirements — structured from lived expertise, not scraped from the web.

Always Current

Actively maintained.

Policies, frameworks, and requirements change constantly. Savvyn's knowledge base is actively maintained — so your intelligence never goes stale.

Domain-Native Reasoning

Made for life sciences.

Every reasoning layer reflects how evidence actually gets evaluated — not how a general model approximates it.

// Early Partner Program

Shape the platform from the inside.

A small cohort of founding partners. Early access, roadmap influence, and preferential pricing — locked in at launch.

01

Early Platform Access

Use Savvyn before public launch on your real evidence challenges.

02

Roadmap Influence

Your workflows shape what we build next.

03

Preferential Pricing

Founding partner rates locked in before we go to market.

Become a Founding Partner

Tell us about your organization. We'll be in touch within 5 business days.

// About Savvyn

We've lived every side of this problem.

Most people in this industry have lived one side of the problem — the science, or the strategy, or the systems. We've lived all three. That's why we know exactly where it breaks.

Catherine Del Vecchio Fitz
Catherine Del Vecchio Fitz, PhD
Founder & CEO · Savvyn, PBC

Cancer biologist. Bench scientist. Data systems architect. Commercial operator. I've worn every hat in this industry. The AI capable of fixing the evidence gap didn't exist three years ago. It does now — and I'm building it to encode what no model has ever been trained on: the real workflows, the lived expertise, the knowledge that was never published.

LinkedIn → info@savvyn.ai →