Keiji AI LogoKeiji AI
For Pharma Innovation & Digital R&D

You have decided to build. We have already built it.

Your team can stand up general-purpose AI in weeks. What it lacks is clinical development grounding — what a validated CDISC workflow requires, how a SAP decomposes into agent tasks, and where an agent's output stops being defensible under audit. We bring that, and build it on your stack.

What Innovation Teams Get

A partner who is real on both sides

The domain layer you cannot hire for

Your team can stand up general-purpose tooling in weeks. What takes years to acquire is knowing what a validated CDISC mapping workflow actually requires, how a statistical analysis plan decomposes into agent tasks, and where an agent's output stops being defensible under audit.

Validated CDISC and SDTM/ADaM workflows, not a generic pipeline
SAPs decomposed into agent tasks that a biostatistician recognises
The point where output stops being defensible, mapped explicitly
Regulatory constraints designed in rather than discovered late

Infrastructure that already exists

We have already built the agents and the tool infrastructure, so the clinical domain is where we start rather than the first thing we deliver. You are not funding our learning curve.

Production agent infrastructure and 100+ clinical MCP tools
Built on whatever platform you have already chosen
Custom skills and validated pipelines on your stack
Weeks to a working system, not a discovery phase

Capability your team owns

Your mandate is to build. We support that rather than arguing you out of a decision you have already made — and the researchers who wrote the papers do the work directly, with no handoff to a separate delivery team.

Built on your stack, owned by your team
Knowledge transfer as the deliverable, not a dependency
A defined scope with a delivery date, not an open-ended staffing arrangement
The people who published the research are the people in the room
Why Us

Judge us on what you can check

This buyer evaluates on published research and working systems rather than references and case studies. That is the right instinct, so here is what to examine.

A record you can verify independently

A peer-reviewed publication record at the intersection of large language models and clinical trials — a narrow field, and the one credential a sales team cannot manufacture.

Working systems, not slideware

You have likely been burned in both directions: consultancies with AI decks and no trial experience, and vendors who answer every question with a licence. Judge us on the papers and the running systems.

Your platform, your choices

We build the domain layer on top of the platform you have already selected, rather than requiring you to adopt ours.

Technical Partners

Built on Best-in-Class Technology

Our platform is powered by leading cloud, compute, and open-source ecosystems

  • NVIDIA logo
  • Databricks logo
  • Microsoft logo
  • Amazon Web Services logo
  • R Consortium logo
FAQ

Frequently Asked Questions

Do we have to buy TrialMind?

No. This is an engagement, not a licence — the deliverable is bespoke agents and validated pipelines built on your stack, and TrialMind may never appear in the statement of work. If a licensed product turns out to be the better answer for a given workflow, we will say so, but that is not the premise.

Who actually does the work?

The researchers. There is no handoff from the people who wrote the papers to a separate delivery organisation, which is usually where domain understanding gets lost.

How are engagements scoped?

Every engagement has a defined scope and a delivery point. We do not take open-ended staffing arrangements in place of a scoped deliverable — that arrangement is bad for you as well as for us, because it never produces something your team owns.

What happens to what we build together?

Your team owns the capability built on your stack. We retain rights to generalisable components and methods so the underlying research keeps improving, and we agree that boundary explicitly at the start rather than arguing about it later.

How is this different from a consultancy?

We are a small team of researchers and engineers who have already built production agent infrastructure for clinical development, and we are accountable for whether the system works rather than for a delivery methodology. The publication record is checkable, which is the part you can verify before signing anything.

Which platforms do you build on?

Whatever your organisation has standardised on. In practice that has meant the major cloud and data platforms alongside the open-source scientific stack — we work inside your architecture rather than around it.