Custom AI Development for Pharmaceuticals

In pharma, software that touches regulated processes must be validated, and AI is no exception. GxP, FDA expectations, and computer system validation mean a copilot for pharmacovigilance, regulatory submissions, or evidence synthesis has to be documented, reproducible, and auditable end to end. Generic tools that cannot show provenance or hold a validated state do not survive an inspection. We build custom assistants and domain models engineered as validated systems: grounded in your literature and safety data, traceable to source, deployed in your controlled environment. The work respects how evidence is generated, reviewed, and submitted, so the output stands up to regulators and quality alike.

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How we deliver it

Custom AI Development, built for pharmaceuticals

We engineer to GxP from the start with a validation plan, requirements traceability, and IQ/OQ/PQ documentation, so the system holds a validated state.

We ground every output in your literature, study data, and safety records with citations, so synthesis and signal detection are reproducible and source-traceable.

We deploy in your controlled, access-managed environment with versioned models and full audit trails, so nothing changes without a record.

We evaluate against expert-reviewed ground truth and lock the validated configuration, with revalidation built into any change.

Where it pays off in pharmaceuticals

Pharmacovigilance copilot

Triage adverse event reports and draft case narratives with source traceability, accelerating safety review while a reviewer confirms.

Evidence synthesis

Screen and summarize literature for systematic reviews and dossiers, each claim linked to its citation for the medical writer.

Regulatory drafting assistant

Draft submission sections from validated source content with full provenance, so authors start from cited, traceable text.

Protocol and SOP search

Answer questions across protocols, SOPs, and prior submissions with citations, grounded only in your controlled documents.

Pharma clients accelerate pharmacovigilance triage and literature synthesis significantly while preserving the validation evidence and source traceability an FDA inspection demands.

Pharmaceuticals AI, answered

Yes, when it is engineered for it. We deliver a validation plan, requirements traceability, and IQ/OQ/PQ documentation, and we lock the validated configuration so the system holds a known state. Any change triggers controlled revalidation, so the system stays inspection-ready.

Every output is grounded in your controlled source content and linked to its citation, so synthesis, narratives, and drafts are reproducible. Combined with versioned models and full audit logging, reviewers and inspectors can trace any statement back to its evidence.

It deploys in your controlled, access-managed environment so regulated data and validated state stay under your quality system. Your team owns the code, models, and validation artifacts, and can operate it with our support if you prefer.