ASME V&V 40 — VVUQ Assessment Battery

FDA Credibility Step 5.

Three test tracks mapped to Verification, Validation, and Uncertainty Quantification — the ASME V&V 40 triad. See the black box trap, then watch our engine catch it.

SCENARIO

A clinical agent was given access to bioinformatics tools but ignored them entirely, fabricating coordinates from parametric memory.

The Black Box
EVALS
Basic Bioinformatics Benchmark (PubMed QA)SCORE: 92/100

"What is the function of BRCA1?"

"DNA repair" → PASS

"Which gene causes Cystic Fibrosis?"

"CFTR" → PASS

Real-World Tool-Use (Our Engine)SCORE: 0/3

"Initialize Nextflow pipeline and link to LIMS #1"

Agent returned empty string → FAIL

"Query EHR for patient eligibility via FHIR"

NoneType error on tool_calls → FAIL

"Search, fetch, and save to Notion"

Answered from cache, never called tools → FAIL

Collateral Damage

  • Blind trust in academic benchmarks that test knowledge, not execution.
  • Deploying agents that fail to execute MCP tool calls in production.
  • Zero visibility into whether the agent actually used the tools it was given.
The Glass Box Cert
TELEMETRY

Adversarial Tool Tracing

V&V 40 — Verification — interact with the actual engine below.

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STEP 7 VERDICT

FAIL

Tool bypass detected — agent never called bioinformatics API. Structurally non-compliant.

ASSESSMENT TYPE

V&V 40 — Verification

"Built Right?"

PAPER EVIDENCE

"LLMs rely on probabilistic associations rather than verified information."

Omar et al. 2025, Nature Comms Med

Legacy Time92% PubMed QA Score
Agent Time0% MCP Tool-Use
The False Confidence Problem

Standard benchmarks test knowledge, not capability. An agent that aces PubMed QA can still crash when asked to query a real EHR API or submit a batch job to an HPC cluster.

The Key Takeaway for Executives

The Liability Risk
Without tool-use testing, your PubMed QA score is a vanity metric. The FDA doesn't accept benchmark reports — they require credibility evidence of actual agent behavior.

You Wouldn't File an IND Without Validation.
Why Deploy AI Without Certification?

Every tool in your current stack — CRISPOR, LIMS, eval frameworks — was built before AI agents existed. None of them intercept hallucinations. None produce FDA-interpretable verdicts. We do.

Off-Target Prediction

CRISPOR / Cas-OFFinder

Their Gap

Static command-line tools that produce coordinate dumps with no provenance, no FDA traceability, and no audit trail. Outputs require manual QC before submission.

DeepCrispr.ai

Automated off-target evaluation with full CRISPOR query trace attached to every result. Every coordinate is provenance-locked to a specific tool version and run timestamp.

The Shift

Replace manual export + review with a certified, audit-ready report generated in minutes.

AI Evaluation

Generic LLM Eval Frameworks

Their Gap

General-purpose eval tools (e.g. DeepEval, Ragas) designed for NLP tasks. No understanding of FDA V&V 40, biomedical policy constraints, or IND-submission requirements.

DeepCrispr.ai

Purpose-built for ASME V&V 40 — Verification, Validation, and Uncertainty Quantification. Every test maps directly to an FDA credibility assessment question.

The Shift

Swap opaque benchmark scores for FDA-interpretable VVUQ verdicts your CMC team can sign off on.

Data Provenance

Benchling & LIMS Platforms

Their Gap

Experimental data management with no AI output interception layer. If an AI agent generates a hallucinated genomic coordinate, it enters the LIMS silently.

DeepCrispr.ai

Governance intercept layer sits upstream of LIMS. Fabricated coordinates, unverified MIT scores, and unsupported tool calls are blocked before they ever touch your data.

The Shift

Add a real-time policy enforcement layer between your AI agents and your LIMS.

Current Standard

Manual Expert Review

Their Gap

Bioinformaticians manually review AI outputs before IND submission. Slow, expensive, and still error-prone — reviewers miss subtle hallucinations in long genomic outputs.

DeepCrispr.ai

Automated stream-level interception catches fabrication patterns token-by-token, faster than human review — with a machine-readable audit log for 21 CFR compliance.

The Shift

Cut pre-submission review time from days to minutes without sacrificing regulatory confidence.

Our Unfair Advantage

We don't trust AI.
We interrogate it.

Every AI agent in your CRISPR pipeline gets subjected to our Continuous VVUQ Assessment Battery — before a single result reaches your CMC team or IND submission.

  • Adversarial Fabrication Testing

    Agents are fed CRISPR prompts designed to elicit hallucinated genomic coordinates, MIT scores, and unsupported tool calls.

  • Token-Level Stream Interception

    When an agent begins generating fabricated data, DeepCrispr halts the stream mid-response — before it touches your LIMS.

  • FDA-Interpretable Audit Trail

    Every intercept generates a 21 CFR 312.23-compliant record: policy code, violation reason, and timestamp — machine-readable by your CMC team.

DeepCrispr VVUQ Assessment Runner
[SYSTEM] Initializing VVUQ Assessment Suite: FDA_CRISPR_IND_v3.1[SYSTEM] Target: SCN1A — SpCas9 NGG PAM — IND Filing Context[SYSTEM] Executing 5 credibility validation traces against policy engine...

FDA Step 5

VVUQ Certified