Pharma & Life Sciences
AI that respects trial rigor and GxP constraints while actually reducing timelines and risk.
Pharma and life sciences teams sit at the intersection of science, regulation, and operations. You need AI that doesn't just analyze data — it designs molecules, accelerates trials, and generates regulatory evidence automatically. All while meeting GxP and validation requirements.
We build agentic AI layers around your existing data, platforms, and quality systems. Working agents for clinical development, pathology and QC, safety, and regulatory documentation — running on your infrastructure, with your data, yours to own.
Your infrastructure. Your data. Yours to own.
Why Agentic
Screen existing compound libraries
Generate novel molecules
Static trial protocols
Adaptive designs that adjust in real-time
Manual pathology review
Vision agents at million-image scale
Months of submission prep
Auto-generated regulatory evidence
Analysts query databases
Agents query and synthesize literature
Siloed data systems
Unified agents across discovery, clinical, and regulatory
Dashboards and reports
Agents that act and recommend
What We Build
Agentic AI systems for pharma and life sciences
Pathology at Scale
Vision agents analyzing histopathology, radiology, and microscopy — processing millions of images with consistent precision
Generative Chemistry
AI that designs novel molecular structures optimized for target binding, selectivity, and ADMET properties — not just screens existing libraries
Clinical Trial Design Agents
Scenario exploration, protocol optimization, and cohort selection against historical and synthetic data — highlighting trade-offs before a trial locks
Recruitment & Screening Agents
Combine EHR, registry, and prior trial data to identify eligible participants faster, reduce screen failures, and support adaptive designs
QC & Manufacturing Intelligence
Monitor critical quality attributes, combine sensor data with lab results, flag risk lots or drifts, and surface similar historical deviations
Regulatory Submission Agents
Pull data and narratives from source systems, structure into regional templates, and cross-check against protocol, SAP, and internal standards
Scientific Literature Agents
LLMs that query, synthesize, and monitor the scientific literature — surfacing relevant findings as they publish
Medical Affairs & HEOR Agents
Create traceable summaries, slide outlines, and evidence packs from trial outputs, publications, and RWE — always linked to source data
Regulatory Intelligence
Life sciences AI requires auditability, validation, and governance from day one.
GxP-ready
Built with validation, audit trails, and change control in mind
21 CFR Part 11 / Annex 11
Electronic records and signatures compliance
Explainability
Every model decision traceable and justifiable for regulators
Model lifecycle
Versioning, drift detection, and revalidation workflows
Data lineage
Full traceability from source to insight
Agentic AI in Action
Real AI agents working together autonomously to deliver results in your industry. Select a scenario and watch them work.
This is the exact agent architecture we deploy for clients today.
Synthetic data for privacy. Architecture identical to live client deployments.
From the Field
R&D cycle time reduction
European biotech, applying AI to compound screening workflows.
Agentic screening and prioritization reduced time-to-candidate while improving hit rates.
Most of our work is deep IP creation. Our clients protect what they're building. So do we.
But we can walk you through how we built it and what it achieved.
Talk to an EngineerTechnical Foundations
How we build agentic AI for pharma & life sciences — Deployed on your infrastructure: cloud, on-prem, or hybrid. GxP-validated environments supported.
Deployed on your infrastructure — cloud, on-prem, or hybrid. GxP-validated environments supported. Swiss/EU data residency available.
From kickoff to production system. Not a demo—a working system on your infrastructure.