Industry AI

Pharma & Life Sciences AI

HCP engagement copilots, clinical evidence automation, adverse event monitoring, and GxP-compliant document intelligence. Built for pharma's unique regulatory landscape.

GxP validated · 21 CFR Part 11 compliant

Pharma compliance makes AI uniquely hard.

01

GxP validation slows AI adoption

IQ/OQ/PQ, 21 CFR Part 11, full audit trails. Most AI vendors have never been through pharma validation.

02

HCP engagement compliance is manual and slow

Every communication needs review. Teams spend more time on compliance than engagement.

03

Clinical evidence volumes overwhelm manual processes

Thousands of new publications monthly. Teams can't read everything but are responsible for knowing everything.

04

Pharmacovigilance can't keep up

AE reports from trials, spontaneous reports, literature, social media. Growing exponentially.

Use Cases

Built for pharma's unique challenges

HCP Engagement Compliance

AI content review against FDA regulations and industry codes.

Clinical Evidence Automation

Literature monitoring, evidence synthesis, systematic review acceleration.

Regulatory Document Intelligence

Search across submission histories, FDA guidance, EMA guidelines, ICH standards.

Pharmacovigilance & Safety

AE detection across case reports, clinical trials, real-world evidence.

Medical Information Management

AI-powered MI query response grounded in approved content.

Sample Management & Compliance

Automated tracking and compliance monitoring for HCP samples.

Compliance frameworks

GxP Validation

Full IQ/OQ/PQ protocols. Complete validation documentation for every AI system.

21 CFR Part 11

Electronic records and signatures, audit trails, access controls. Built into the architecture.

GDPR Compliance

Data residency, consent management, right-to-erasure for European operations.

EU MDR

Medical device regulation compliance for AI systems in the EU market.

ICH Guidelines

Full alignment with ICH standards across all AI implementations.

SOC 2 Type II

Third-party verified security controls and operational practices.

Our Method

Production AI in 90 days

01

Assess

Weeks 1-2

Map workflows, data sources, compliance requirements. Identify highest-impact use case. Define success metrics.

02

Build

Weeks 3-8

Architecture, development, integration with your systems. Security hardening and access controls from day one.

03

Pilot

Weeks 9-10

Deploy with pilot group. Measure against success metrics. Refine based on real usage data.

04

Harden

Weeks 11-12

Production hardening, load testing, monitoring, and documentation. Handoff with training and support plan.

Fixed-Price Assessment

$9,500

Credited toward implementation

Time to Production

90 Days

Not 12-18 months

Delivery Model

Production

Not proof-of-concept

Compliance & Security

GxP21 CFR Part 11EU MDRGDPRICH GuidelinesPharmacovigilance RegsEMA StandardsSOC 2 Type II

Technology Partners

Microsoft Solutions PartnerAzurePower PlatformSharePointOpenAI

Pricing

Custom pricing

Based on use case scope, data volumes, and validation requirements. Start with a Pharma AI Assessment.

Start with an Assessment

FAQ

Frequently asked questions

How do you handle GxP validation for AI systems?

We follow full IQ/OQ/PQ validation protocols with complete documentation. Every AI system is built with 21 CFR Part 11 compliance from day one — including electronic signatures, audit trails, and access controls required for pharma regulatory submissions.

Can the AI system be used for HCP engagement compliance?

Yes. Our AI reviews HCP communications against FDA regulations, industry codes, and your internal policies. It flags compliance risks before content goes out, reducing manual review cycles from days to hours.

How does the pharmacovigilance AI handle adverse event detection?

The system monitors clinical trial data, spontaneous reports, published literature, and real-world evidence for adverse events. It uses NLP to identify potential safety signals across structured and unstructured data sources, then routes findings to safety teams for review.

What data sources can the clinical evidence automation connect to?

We connect to PubMed, ClinicalTrials.gov, Embase, Cochrane, FDA databases, EMA resources, and your internal clinical data repositories. The system monitors new publications and flags relevant evidence automatically.

Is the AI system compliant with EU MDR and GDPR?

Yes. We build AI systems with EU MDR compliance for medical device-related use cases and full GDPR compliance including data residency, consent management, and right-to-erasure for European operations. Data processing agreements and DPIAs are included.

Ready to ship AI that actually works?

Start with a 15-minute call. No pitch decks. We'll discuss your use case and whether our 90-day method is the right fit.

Book AI Assessment