AI that ships into regulated science.
Production-grade AI for pharma and life-sciences operators. Multi-agent RAG over confidential research, project-level access control, and full action audit — replacing shadow-AI with platforms a compliance officer can sign off.
Pharma cannot afford shadow-AI — or AI without a trail.
Data confidentiality
Pre-clinical results, formulation IP, and patient data sit inside the same workload as commercial documents. Confidentiality has to be a property of the platform, not a policy memo.
Regulatory audit trails
GxP, 21 CFR Part 11, EMA, and local regulators all expect to see who saw what, who acted, and on which version. The trail has to exist before the inspection request arrives.
Scientific accuracy
An AI that paraphrases a mechanism of action close-but-wrong is worse than no AI. Outputs have to be grounded, reviewable, and traceable to source literature.
Shadow-AI risk
Teams pasting confidential documents into public AI tools is the most common, least visible compliance breach in pharma today. The fix is a sanctioned platform that's actually better.
Project-level segmentation
Therapeutic-area teams cannot see each other's documents. Access boundaries have to hold at the chunk level — across retrieval, generation, and audit logs alike.
Six capabilities for life-sciences AI compliance can sign off.
Multi-agent RAG
Coordinated retrieval, ranking, and synthesis agents — turning a heterogeneous document corpus into answers that cite the paragraph they came from.
Project-scoped access controls
Therapeutic area, study, and team-level ACLs enforced through retrieval and generation — every chunk and citation respects the boundary it was indexed under.
Full action audit
Every prompt, retrieval, model response, and user action captured with attribution and timestamp — packaged for compliance and ready for inspection.
Document & email understanding
Structured extraction from clinical reports, regulatory submissions, lab notebooks, and the email threads that connect them all into one workflow.
Scientific literature search
Semantic, cross-lingual retrieval over internal libraries and external scientific corpora — surfacing the evidence a scientist needs, not just the keywords.
Regulatory artefact drafting
Agents that assemble first drafts of regulatory artefacts from source documents — with citations, version history, and a reviewer in the loop on every section.
What we’ve shipped — in production, today.
A global pharma deployed a multi-agent RAG platform on Azure — replacing teams pasting confidential documents into public AI tools. Project-scoped access, standardised prompts, and full action audit, deployed inside the customer's own tenant.
Pod-based delivery: product, ML, engineering, and SRE shipping into one release train. Security review, observability, and SLA operation built in from sprint one — not retrofitted before the first compliance review.
Adjacent regulated sectors we ship into.
Legal Tech
Document understanding, citation-grounded RAG, and agentic workflows for AI-native legal startups — production-grade, audit-ready.
Public Sector & Defence
Air-gapped, MEITY-aligned platforms for governments and defence formations — sovereignty by deployment, not by promise.
Ready to ship life-sciences-grade AI? Talk to us.
Sanctioned AI, deployed in your tenant — with the access boundaries, audit trail, and SLA operation a compliance officer will actually sign off on.