How It Works | Savvyn

One engine, sitting between what’s produced and what’s required.

Evidence producer

Landscape

Decision maker

Savvyn

Landscape

Precedent and context

Literature

Policy precedent

Competitor tests

Trials, RWD

↓

Evidence producer

Produces evidence

Diagnostics co.

Medical devices

Digital health

Savvyn
engine

INTEGRATES EVERYTHING

Decision maker

Sets the bar

Coverage

Adoption

Capital

↻ continuously ingesting & updating

↓

The portfolio · the product

Bound report or queryable page

Living record, always current · everything about the product, the bar, the precedent

Evidence producer asks

01 · Before the studies

Which intended use should we go after?

02 · Building the evidence

How far are we from what’s been approved?

03 · Submissions running

Which cohort do we spend the money on?

04 · In market, no policy

Which of our studies answers this denial?

See how Savvyn answers each one →

Inside the engine: capture, analyze, produce.

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A multi-agent AI system, with dedicated agents for each stage — all seeded with our own domain expertise in evidence strategy and payer requirements.

Document Corpus · 206 items

AllSharedYour Evidence

Title	Venue	Year	Status	Role
Molecular MRD (ctDNA) surveillance, pivotal cohort	J Clin Oncol	2020	Needs review	Primary
Real-world recurrence detection (1,076 pts)	Clin Cancer Res	2022	Claims extracted	Review
Landmark PET-CT surveillance RCT	NEJM	2016	Full text	Primary

Illustrative — anonymized example

1 · Capture

It reads and catalogs everything — as it happens.

Savvyn tracks every study, policy, and competitor move continuously — structuring each source and tracing every claim back to where it came from.

Readiness Analysis · Conditionally ready

● 1 critical ● 3 gaps ● 4 minor

Domain	Status	Basis
Analytical validity	Met	CLSI EP05 / EP17 complete
Clinical validity	Met	3 cohorts, multi-site
Clinical utility	Partial	2 studies, no outcome link yet
Regulatory	Met	Aligned to workup framework

Critical · Clinical utility

Prospective observational utility study

Current

No study yet links a test-guided management change to a measured outcome benefit.

Remediation

Prospective observational study of test-guided management (12–24 mo, feasibility high).

Illustrative — anonymized example

2 · Analyze

What’s out there, what’s required, and how you rank.

It matches your evidence against the bar you’re aiming for and weighs your coverage position payer by payer — so every gap comes with a remediation, not just a flag.

Dossier Sections · 7 sections, 3 pending

7 sections · 3 pending · 2 locked2 up to date

1.Executive summary✓ Up to date

2.Technology assessment summary🔒—

3.Analytical & clinical validation worksheet2 pending

4.Performance & classification3 pending

7.References & citation manifest✓ Up to date

Pending update · 1 change specificity of approximately 98.2% (95% CI 95.4–99.4%)

Illustrative — anonymized example

3 · Produce

Landscapes, roadmaps, submission-ready packages.

When the evidence is ready, Savvyn assembles the output itself — drafted, cited, and kept current as the evidence changes.

Savvyn is software that automates what it takes to get paid.

It reads and catalogs everything — as it happens.

What’s out there, what’s required, and how you rank.

Landscapes, roadmaps, submission-ready packages.

You don’t get paid for innovating. You get paid for proving it works.