One platform. Four connected capabilities.
Dimlang sits above the systems you already use, understanding how claims, evidence, and approvals connect across them, without asking you to move your content anywhere.
Claim Intelligence
A single layer that understands scientific claims: where they live, who approved them, and what they depend on.
Dimlang connects existing enterprise systems, including Veeva, Microsoft 365, SharePoint, Salesforce, and clinical repositories, into one place you can query directly. Ask where a claim has appeared, what your organization's position is on a topic, or which materials reference outdated language, and get an answer grounded in your own approved content.
Evidence Tracing
Follow any claim back to the exact source evidence behind it.
The moment a statement is published, Dimlang links it to its source evidence automatically, with no manual tagging required. Nobody digs through folders and email threads to reconstruct where a statement came from, because the connection is already there.
Approval Trails
Understand why a claim was approved, not just that it was.
See the full approval history behind a claim, including who signed off and under what evidence. Approval history is captured as part of the workflow itself, so it's there when your team needs to answer for a claim later, not reconstructed after the fact.
Content Impact Mapping
See every downstream impact before it becomes a compliance problem.
When the underlying evidence changes, Dimlang flags every downstream document, deck, and system it touches, across every department that referenced it. Evidence impact analysis moves from weeks of manual tracing to minutes.
Know what must change, before it becomes a problem.
See how Dimlang connects claims, evidence, and approvals across the systems your teams already use.