Claim Intelligencefor Life Sciences

WHEN EVIDENCE CHANGES,
KNOW WHAT MUST CHANGE.

Dimlang traces every claim to its evidence and approval history, then maps where it lives across Veeva, Microsoft 365, SharePoint, and Salesforce. Full impact in minutes, not weeks.

For every team that owns a claim.

01Scientific Claims
02Source Evidence
03Approval Trails
04Content Impact Across Systems
Built With Life Sciences Teams

Designed alongside the people who own scientific claims every day.

The Problem

A single trial update can quietly break dozens of claims.

A pivotal trial updates its safety data. Somewhere across Veeva, Microsoft 365, SharePoint, and Salesforce, a claim built on the old evidence is still live: still shown as approved, still cited in a field deck, still said out loud to a physician. Nobody owns the question of which claims that evidence touches, what approvals they rest on, or where else they appear, because no system was ever built to track a claim as a first-class thing.

What Dimlang Is

An intelligence layer, not another place to search.

Dimlang is

  • An intelligence layer that understands claims, their evidence, and their approval history.
  • Continuous mapping of every claim to everywhere it lives, across your existing systems.
  • Proactive: it tells you what changed and what it touches, before you go looking.
  • Built to sit on top of Veeva, not replace what Veeva already does well.

Dimlang is not

  • A search tool. Search finds documents; it doesn't know what a claim depends on.
  • A content management system, and not a replacement for Veeva, M365, or Salesforce.
  • A generic AI layer bolted on top of your file store.
  • Another repository your teams have to remember to update by hand.
Works Alongside
Veeva VaultVeeva CRMMicrosoft 365SharePointSalesforceClinical & Regulatory Repositories
How It Works

From a change in the evidence to a mapped, ranked list of what it affects.

01

Claim extraction & understanding

Dimlang reads claims out of the documents and systems where they already live, and understands what each one asserts, not just what it says.

Product screenshot: claim extraction view
02

Linking to evidence & approvals

Every claim is connected back to its source evidence and its approval history, automatically, so provenance is never a manual lookup.

Product screenshot: evidence & approval trace
03

Continuous mapping across systems

The same claim usually lives in more places than anyone realizes. Dimlang keeps a live map of every one of them, across Veeva, M365, and beyond.

Product screenshot: cross-system claim map
04

Proactive impact detection

When the underlying evidence changes, Dimlang surfaces exactly which claims are affected, ranked by exposure, before it becomes an inquiry.

Product screenshot: claim impact map
Claim Intelligence, Today

The product we ship.

Claim Intelligence is what we build and support today: a live, continuously-updated map of your organization's scientific claims, their evidence, their approvals, and every surface they appear on.

It's scoped deliberately. It doesn't try to be everything on day one, it tries to be the thing that finally makes claim risk visible.

The Platform Underneath

The foundation it's built on.

Claim Intelligence is the first application of a broader intelligence layer we're building for regulated life sciences organizations, one that understands not just claims, but the relationships between evidence, decisions, and everywhere they show up.

That's the architecture; Claim Intelligence is where it earns its keep first.

Impact

What changes when claims stop hiding.

Weeks → MinutesTARGETED EVIDENCE IMPACT ANALYSIS TIME
100%CLAIMS MAPPED TO SOURCE EVIDENCE
ZeroMANUAL CROSS-SYSTEM CLAIM AUDITS
CASE STUDY · PLACEHOLDER

"[Company] reduced evidence impact analysis from [X] weeks to [Y] minutes after a pivotal trial update." — Pending customer approval.

CASE STUDY · PLACEHOLDER

"[Company]'s Medical Affairs team eliminated [Z] hours of quarterly manual claim audits." — Pending customer approval.

Enterprise-Ready

Built for regulated environments from the start.

Deployment

Deployed as SaaS or within a private tenant, depending on your organization's data residency and IT requirements.

Integration

Connects to Veeva, Microsoft 365, SharePoint, and Salesforce through their native APIs. No re-platforming, no forced migration.

Security & access

Role-based access, full audit trails, and data handling designed around the same scrutiny your existing systems already meet.

Data principles

Your evidence and claims remain yours. Dimlang maps and monitors them; it does not become the system of record in place of Veeva.

See what's already changed, before it becomes an inquiry.

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