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About

Evidence-based science deserves evidence-based tooling.

Dimlang exists because scientific claims in regulated organizations move faster than anyone's ability to track what they depend on. We build the system that closes that gap.

We're small and senior by design. The team building Dimlang has spent careers inside the kind of high-stakes, tightly regulated environments where getting information wrong isn't a UX problem, it's a real one.

Trust in a claim shouldn't depend on someone remembering to check it.
Why This Matters

Four working principles.

A claim is only as trustworthy as its last evidence check. Trust has to be continuous, not a one-time approval.
Search finds documents. Understanding requires knowing what a claim actually depends on, and what depends on it.
Governance that shows up after an incident is a postmortem. Governance built into the system doesn't wait for one.
The right platform strengthens Veeva and your existing systems. It doesn't ask your organization to start over.
What Brings Organizations To Us

Five situations we hear constantly.

  • A pivotal trial updates its data, and nobody can say with confidence which claims across the organization are now affected.
  • Medical Information is answering from a claim library nobody's fully sure is current.
  • An inspection asks for the evidence trail behind a specific claim, and compiling it takes days, not minutes.
  • Field materials were approved months ago, and nobody's checked whether the science under them has moved since.
  • Claim governance exists on paper, as a review process nobody has the bandwidth to run consistently.
Who's Building It

The people behind Dimlang.

Abiodun Ekundayo

Founder & Managing Partner

Abiodun spent more than a decade inside global financial services and healthcare organizations, running data and analytics functions where the cost of an untracked, out-of-date fact was never abstract. He founded Dimlang after watching the same pattern repeat in life sciences: critical information scattered across systems, with no system responsible for knowing when it changed.

Ayoola Ajakaiye

Partner, Data & AI Architecture

Ayoola has spent his career at the intersection of enterprise architecture and applied AI, building infrastructure that has to hold weight in production, inside organizations with real regulatory exposure. He leads Dimlang's platform architecture, turning "know what changed" from a review process into a system property.

We're not building another place to store documents. We're building the system that knows what they depend on.

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