Use cases

Your situation may look like one of these.

Life sciences · Biotech R&D Delivered in 8 to 12 weeks

Running a multi-provider R&D, ready for due diligence

A 40-person biotech moves its programs forward with several providers: CROs, analytical labs, sequencing platforms. Results arrive by e-mail, as PDFs and Excel files, each in its own format. Before every scientific committee, funding round or discussion with a pharma partner, the team spends days gathering the data and rebuilding its history.

The problem

Excel as the working tool, data split between internal tools (LIMS, electronic lab notebook, shared drives) and providers’ deliverables, outsourced studies that are hard to track, and strong traceability and compliance requirements. Investor and partner due diligence is prepared by hand.

Our solution
  1. 01 Map the data flows between the team and its providers, and bring internal and external results together in a traced, annotated data space.
  2. 02 Automate the intake of providers’ deliverables (formats, quality checks) and recurring analyses, in a reproducible way.
  3. 03 AI agents that track outsourced studies, check deliverables and prepare summaries, committee reports and the data room, approved by the scientific team.
Expected outcome
  • R&D data gathered and traced
  • Due diligence prepared in hours
  • Providers tracked in real time
Illustrative story, inspired by situations we have met in the field. Discuss a similar case