All solutions/Vertical·Healthcare & Life Sciences

Pharma regulatory & medical affairs

Regulatory submissions, label change tracking, medical-info drafting — therapeutic-area-tuned agents.

Shipped against
  • Top-10 global pharma
  • Mid-cap biotech
  • Specialty pharma
  • Generics manufacturer
  • Medical device (top-5)

Anonymised — clients under NDA

Days
to draft, not weeks
16 wks
to production MVP
Therapeutic-area-tuned
agents, not generic GPT

The context

Regulatory and medical-affairs teams are the bottleneck and the safeguard for everything from label changes to medical-information responses. The work is high-stakes, slow, and dominated by repeated assembly: pulling clinical trial data, reconciling against the current label, drafting the response, routing for sign-off.

Why it doesn't scale today

Generic LLMs cannot be trusted with anything that lands on a label or a regulator's desk. The industry has spent two years burning credibility on PoCs that did not survive medical-legal review, leaving the team more skeptical of AI, not less.

What we ask in week one

  • iWhich of your document types can be drafted autonomously with med-legal review at the end, and which need assistance only?
  • iiHow do we keep the agent grounded in your current label, your current clinical evidence, and the live regulatory guidance?
  • iiiWhat does the human-in-the-loop control look like for your medical-affairs reviewer — inside the surface they already use?
  • ivHow do we shorten cycle time without compromising the review quality your med-legal team will sign off on?

What we build

We deploy therapeutic-area-tuned agents that draft against the current label, current evidence, and current guidance, with explicit traceability for every assertion. The medical-affairs reviewer edits, signs off, and lives in the same surface they already use. Speed comes from removing the assembly work, not from skipping the review.

Why we're the right squad

We have shipped agents that medical-legal teams trust enough to sign off on — which is the only meaningful bar. Our pods include former regulatory-affairs operators, not just engineers; we know which corners are safe to compress and which are not.

What you keepA system, not a prototype
  • Documentation

    Architecture, data contracts, deployment runbooks, eval criteria — written for the team that owns it next.

  • Infrastructure

    IaC, monitoring, rollback, on-call playbooks. Standard tooling, not bespoke.

  • Evals

    Eval harness + prompts + labelled fixtures + regression suite. Extends with your team.

  • Architect anchor

    A lead architect from our side stays in your Slack for at least 90 days post-handoff.

Want to scope this for your team?

We'll come back with a pod composition, a 2-week discovery sprint plan, and a price — measured against the KPI you care about, not against activity.

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