AI for
Pharma & Life Sciences

Document automation, regulatory and safety workflows, and research support, built to production standard with the compliance and audit trail the sector requires.

The opportunity

The AI opportunity in Pharma

Pharma is document-dense and heavily regulated: submissions, safety reports, protocols and literature that consume expert time. AI takes on the reading and structuring, under strict oversight, freeing scientists and regulatory teams for judgement.

AI in pharma is valuable where it accelerates document and information work without touching a regulated decision, and where every step is traceable for audit.

AI use cases for Pharma

From regulatory submissions to literature, AI accelerates the document and information load in life sciences. Here are the highest-impact use cases we deliver.

Use case 01

Regulatory Document Automation

Structuring submissions and dossiers.

02

Pharmacovigilance Support

Triage and structuring of safety reports.

03

Literature Review

Grounded synthesis with citations.

04

Protocol and SOP Q&A

Answers from your own controlled documents.

05

Data Structuring

Turning unstructured research data into usable form.

Our approach

We work conservatively: information and document support, not regulated decisions, with human oversight and a full audit trail. Every system is screened for EU AI Act risk.

Frequently Asked Questions

  • Where is AI safe to use in pharma?

    Document, safety and literature work under oversight, not regulated efficacy or clinical decisions.

  • How do you handle compliance?

    Full audit trail, access control, and EU AI Act screening on every system.

  • Can it help with submissions?

    Yes, by structuring and drafting support, with expert review.

  • Is our data protected?

    EU jurisdiction and controlled access throughout.

  • Where do we start?

    With an assessment of your most document-heavy regulated workflow.

Book an AI assessment for your Life Sciences Organisation

A 30-minute call. We map your highest-leverage AI use case in pharma & life sciences and outline a pilot you can take to your board.