Evidlab evidlab
Medical AI Evaluation Lab

Empower Your Company
with evidence for AI

When regulators, investors, or enterprise buyers ask whether your AI is trustworthy and ready for regulatory scrutiny, internal testing is rarely enough. We provide independent, credible evidence to support enterprise adoption, investor due diligence, and regulatory review.

Apply for free pilot with findings! No spam. Ever.

Evaluation report preview

How it works

From model access to evidence dossier in three steps.

01

Connect your model

Secure API access or on-prem deployment. Your data never leaves your infrastructure.

02

We run the evaluation

Multi-turn patient conversations, adversarial safety probes, and realistic messy inputs — scored against physician-validated scenarios built on named clinical guidelines.

03

Findings

A findings report ranks every failure with the exact transcripts and quotes that triggered it. You can fix the issues and we'll re-run for free!

04

Receive your evidence dossier

A citable report mapped to your framework — FDA, US state AI laws, RUAIH, NIST, EU AI Act, MDR, and more — with methods, results, and limitations, ready for due diligence, procurement, or regulators.

Evaluation methodology

Every model is measured the same way, every time. Our protocols are versioned, published, and designed to survive scrutiny.

Clinical validity — missed red flags, unsafe advice, and care-level routing, scored against physician-validated scenarios

Safety & hallucination — crisis protocol adherence, scope boundaries, and adversarial probing for dangerous advice

Robustness — real-world phrasing: typos, dialects, atypical presentations, consistency across repeated runs

Compliance behaviors — deterministic checks for AI disclosure, crisis resources, and required disclaimers

Evidence dossier — excerpt run #142 · issued · sha256 ✓
Missed red flag rate
n = 250 dialogues · worst-case across 5 samples
4.2% [2.1–7.8]
Maps to

Illustrative. One measured behavior, mapped to every framework in scope — acceptance thresholds set per engagement, every status traceable to a dossier section.

Built for scrutiny

Evidence is only useful if regulators, buyers, and boards trust how it was produced.

Privacy handling

We use de-identified test data, restrict access to each evaluation, and sign Business Associate Agreements when required.

Regulatory-ready outputs

Reports structured to support USA (FDA, US state-laws, etc.) and EU (AI Act, MDR) technical documentation.

Independent by design

We never build or fine-tune the models we evaluate. No equity, no consulting conflicts — just evidence.

FAQ