PharmaTools.AI – Applied AI for Pharma & Health
Hi, I’m Nick Lamb

I build AI for domains where being wrong isn’t an option.

Twenty years writing regulated medical communications taught me what “verified” has to mean. Now I ship AI systems that meet that bar – including an MHRA-registered Class I medical device and an open-source evaluation framework used beyond healthcare.

Applied AI engineer Evals & verification Regulated domains
See the evidence View résumé
Nick Lamb
Nick Lamb, PhD, CMPPFounder · 20+ years in medical communications
approach.md
// My approach
1 Ground every claim in evidence
2 Verify deterministically, not by vibes
3 Protect privacy by design
4 Ship. Measure. Iterate.

// Outcome
✓ AI that earns trust in high-stakes domains
✓ VerifiableMHRA Class IRegistered medical device (Patiently AI) ✓ Verifiable3,000+ / monthDownloads across the open-source suite (npm · PyPI) ✓ Verifiable20+ yearsRegulated medical communications ✓ VerifiableMCP Directory ×2Redacta & PubCrawl – official Anthropic directory

01Evaluation first

Measured, not claimed.

Anyone can demo an AI system. The hard part is proving how it behaves – deterministically, adversarially, and at a cost you can defend. This is the work I care most about.

OpenGATE

1.9K downloads/mo

Open-source verification framework for evidence-grounded AI. Deterministic grounding checks with no LLM judge – reproducible, auditable, and free to run on every answer or every commit.

“Don’t trust AI. Verify it.”

npmPyPIMCP serverDockerGitHub Action
Explore OpenGATE →Read the paper →

Redacta Gauntlet

GitHub ↗

Adversarial evaluation harness for Redacta’s PII engine – hostile formats, near-misses, prompt injection and context leakage, with a published threat model. Because a single missed identifier is a privacy breach.

28 adversarial casesPrompt injectionRedacta DOI 10.5281/zenodo.21115605
See the Gauntlet →
refcheckr – model eval run
ModelExactHalluc.$ / 1K
sonarprevious production52.5%5.8%$6.75
sonar-proproduction now61.7%✓ 2.4%$14.29
sonar-reasoning-pro82.8%15.1%~$11.30
Verdict accuracy (exact, six-point scale) · passage hallucination · measured cost per 1,000 claims. 60 verdict pairs × 3 repeats, 2–3 full runs per tier, averaged. The decisive axis is hallucination – invented evidence is the worst failure for a verification tool, so production runs sonar-pro despite the higher cost. Full methodology, charts and raw scorecards →
5.8% → 2.4% Passage hallucination halved by choosing the production model on measured evidence, not reputation
WhitepaperDesigning Trustworthy AIWhy high-stakes systems are converging on verification-first architecture. Paper · ZenodoEvaluation as InfrastructureDeterministic regression gating for evidence-grounded AI, across four production systems. Article · dev.toRAGAS vs DeepEval: same fabricated answer, 0.0 vs 1.0A controlled comparison of faithfulness metrics against a deterministic baseline. PlaybookMedical Writing AI PlaybookWhere AI fits – and where it doesn’t – inside pharma compliance codes.

02Things I’ve built

One thesis, shipped five ways.

Every product answers the same question: how do you make AI dependable enough for healthcare?

All projects on GitHub →
→

Patiently AI

MHRA Class I · Web, iOS & Android · 18 languages

Translates clinical notes into clear, actionable explanations for patients – built to regulatory standards as a registered medical device.

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RefCheckr

Verification · Web · Word add-in

Automated claim and reference verification for medical and scientific content, with its model choices benchmarked in the open.

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Redacta

Privacy · On-device · Anthropic MCP Directory

Pseudonymises patient identifiers before text reaches an AI model – reversible, NHS-aware, and benchmarked under adversarial attack.

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PubCrawl

Retrieval · Anthropic MCP Directory

Gives AI assistants direct access to PubMed, Europe PMC, clinical trials and drug labels – real papers, no hallucinated citations.

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MedCheckr®

Compliance · 11 pharma codes

Checks promotional claims against 11 national and international pharma codes of practice in seconds, with citation-grounded regulatory feedback.

More experiments →

PosterLens, HushMap, BiomarkerFinder, StudyDiff, TrialGen and other prototypes, demos and detours live in the Labs.

03Recognition

Independently acknowledged.

Communiqué 2025Winner – Progress in Healthcare & Scientific Communication
MHRARegistered Class I medical device
PMEA 2025Double win – Patient Education & Innovation
Open TargetsHackathon Audience Choice 2025
Frontiers in Digital HealthValidation study in peer review
7 startup programsGoogle · AWS · Microsoft · Anthropic · NVIDIA · Perplexity · ElevenLabs

04Consultancy

Applied AI consulting

Adopt AI with clarity – not hype

Hands-on advisory for pharma, medtech, and healthcare teams – grounded in building and shipping AI products, including an MHRA-registered patient-facing medical device. From focused prototypes to patient-facing AI strategy.

Learn more →
Patient-facing AI advisory
Evals & verification design
Compliance-aware AI design
RAG & knowledge workflows
API & product integration

Interested in working together?

Explore how applied AI can support your team – from compliance to patient communication.

Get in Touch Explore AI Consulting