Savvyn | Evidence Intelligence Engine

// The Problem

Strong science doesn't guarantee patient impact.

The last mile is where a breakthrough stalls. Not because the science failed, but because you need to translate it into evidence that convinces someone to cover, fund, and adopt it.

// Coverage

1,000+

Payer policies with incompatible expectations

// Funding

$5M+

Unrealized revenue per six-month coverage delay

// Adoption

5–7 yrs

From clinical validation to broad patient access

1,000+ policies: aggregate of Medicare LCDs/NCDs, MAC policies, and major commercial payer policies for molecular diagnostics. $5M+: 300 orders/month × $3,500 avg reimbursement × 80% net collection over 6 months, F1CDX base case. 5–7 yrs: NIH SEED Reimbursement Knowledge Guide for Diagnostics, 2024.

// Who we serve

Two buyers. One evidence problem.

Built for oncology and molecular diagnostics companies navigating payer coverage, market access, and due diligence — and the investors evaluating whether they’ll get there.

Evidence Generators — Medical Affairs · Market Access

Coverage Submission

MolDx · LCD · payer dossier

New Indication or Expansion

Coverage secured once. Now rebuilding from scratch.

Evidence Evaluators — Investors · Partners

Due Diligence

Evidence readiness · clinical risk · portfolio fit

Stakeholder Readiness

They need a structured evidence package. Your team is staring at a spreadsheet.

// How Savvyn Works

Five steps. One continuous loop.

Extract

Clinical studies, trial data, published literature — ingested from heterogeneous sources and made machine-readable.

What you have

Structure

Evidence mapped to payer frameworks, LCD requirements, and decision-maker standards of proof.

What it means

Connect

Gaps identified, weaknesses flagged, and evidence positioned against what coverage decisions actually require.

Where the gaps are

Surface

Prioritized actions and submission-ready outputs — so teams spend time executing, not rebuilding.

What to do next

Generate

Submission-grade dossiers, gap analyses, and executive briefs — formatted for each decision-maker.

What you ship

// The Platform

One engine. Cover, fund, adopt.

Your MolDx dossier, your investor data room, and your NCCN submission are built from the same evidence. Savvyn structures it once against each set of requirements and tells you exactly where it holds up, where it falls short, and what to prioritize next.

INPUTS

Trial Reports

Reg. Submissions

Publications

Grant Applications

Pitch Decks

Spreadsheets

Operational Data

DECISION FRAMEWORKS

Payer / Market Access

MolDx · LCD · commercial payer expansion

Due Diligence

Evidence readiness · clinical risk · portfolio fit

Clinical Guidelines

NCCN · ASCO · specialty society submissions

// The Payoff

Coverage. Funding. Adoption. Quantified.

The ROI isn't just cost savings. It's unlocking the revenue event and de-risking the next raise.

// Revenue accelerated

$5M+ brought forward.

A six-month coverage delay costs $5M+ in lost revenue. Savvyn accelerates time to coverage — bringing that revenue forward.

// Cost reduced

$400–850K replaced.

Manual evidence work costs $400–850K per year across internal teams and external consultants. Savvyn replaces most of it.

// Investment de-risked

Reimbursement risk, answered.

Reimbursement risk is the question every investor asks. Savvyn makes the evidence roadmap visible and traceable.

$5M: 300 orders/month × $3,500 avg reimbursement × 80% net collection over 6 months, F1CDX base case. $400–850K: market research and founder analysis of internal labor and consulting costs across pre-scale molecular diagnostic and medtech teams.

// What We're Hearing

The problem is louder than the solutions.

Conversations with Medical Affairs, Market Access, and Evidence Operations leaders in molecular diagnostics.

Our studies don't answer the next obvious question.

— Medical Affairs Lead

We spent $500K+ on consultants — lots of strategy and decks. We still have to do the work.

— Market Access VP

Our processes don't scale. We're investing in AI — but it doesn't solve this problem.

— Data & AI Lead

// The Difference

The knowledge was never on the internet.

The workflows connecting clinical evidence to payer policy to regulatory decisions were never written down. Savvyn encodes them.

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.

// 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, PhD

Founder & CEO · Savvyn, PBC

Stanford PhD · MIT Postdoc · HBS PLD

LinkedIn →

Cancer biologist. Data systems architect. Commercial operator. I’ve worn every hat in this industry — and I know exactly where the system breaks.

I’ve implemented NLP pipelines in clinical contexts before LLMs existed. I know exactly why they weren’t good enough — and what it took to build something that is.

The AI capable of fixing the evidence gap didn’t exist three years ago. It does now. 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. Because time is the most valuable resource we have — and I build systems that get proven innovations to patients smarter, faster, and more efficiently than anyone thought possible.

Savvyn is a nod to being savvy — and just a little bit savage about efficiency.

// Schedule a Call

Let's talk about your evidence challenge.

Tell us what you're working on. We'll be in touch.

Built for evidence generators and evaluators in

Oncology · Molecular Diagnostics

Schedule a Call

Share a bit about your situation and we'll find a time to connect.

You have the data.Now what?