Life Science

AI for controlled documents, built around your QA process

Tools for SOPs, deviations, lab data and submission drafting, designed around audit trails, least-privilege access and human approval.

Much life-science documentation is structured, repetitive and traceable to source data. That's where AI helps, and where mistakes are expensive. So we design the audit trail and approval step first, then the model.

In GxP work, the record is the evidence

Regulators expect data to be attributable, legible, contemporaneous, original and accurate (ALCOA), and computerized systems to be validated for their intended use. Any AI tool that touches an SOP, a deviation or a batch record has to fit inside that framework.

So the AI drafts and cross-checks, people approve, and every AI-assisted step is logged. Your QA team owns validation. We build to make it practical.

  • Human sign-off on anything that touches a submission or a controlled record
  • Audit trails that show what the AI produced and what a person changed
  • Least-privilege access to QMS, LIMS and document systems
  • Self-hosted model options when data can't leave your environment

Where we can help

  • Regulatory & Clinical Documentation

    Draft and cross-check regulatory and clinical document sections from approved sources, with a qualified reviewer on every output.

  • Quality & GxP Compliance

    Speed up deviation write-ups, SOP revisions and CAPA evidence assembly inside your existing eQMS and approval workflow.

  • Lab & Research Data

    Search, summarize and report on LIMS and ELN data without changing the records.

  • Private AI for Sensitive Data

    Run AI on data that can't go to a hosted model, using self-hosted or open-weight models in an environment you control.

What we've built that applies here

Our VP of AI Engineering, Michael Fethe, spent 15 years inside publicly traded agriculture and life science corporations. We bring that experience together with the documentation, audit-trail and private-deployment patterns we've built for regulated manufacturing and finance clients.

We don't have a life-science client reference yet. Related work in other regulated settings: an EU Declaration of Conformity generator with an audit layer, compliance-aware AI deployment planning for a registered investment adviser, and self-hosted model R&D for clients whose data can't go to hosted models.

Why work with us

  • Straight answers on experience

    We'll tell you what we've built, what we haven't, and where the risks are.

  • Built for your QA team

    Defined intended use, access controls and audit trails give your QA team what it needs to validate the tool.

  • Your data stays yours

    Data stays in your tenant where possible, with self-hosted models when it can't leave your environment.

  • Fixed-fee Discovery first

    Discovery is fixed-fee, typically about 30 days, and ends with a Findings & Opportunity Report ranking use cases by dollar impact.

Find out where AI fits in your regulated workflows, and where it doesn't

We'll talk through your documentation and quality workflows and give you an honest view of what's worth building.

Book a discovery call