About Us
The Claim Intelligence Platform
Scientific claims don't stay where they're written. A claim approved for a Medical Information response reappears in a scientific response document, a congress presentation, a publication, a training deck. Each one is authored separately, reviewed separately, and rarely checked against the others.
Dimlang is the Claim Intelligence platform. We connect the systems life sciences organizations already run, including Veeva, Microsoft 365, SharePoint, Salesforce, and clinical and regulatory repositories, into a single layer that understands scientific claims: where they live, who approved them, and what they depend on. When new evidence changes what's true, Dimlang tells you which claims are affected, where they're repeated, and what requires review.
We don't replace Veeva, or any system you rely on today. We sit above them, connecting what they already hold.
What Dimlang Understands
Dimlang reads across the systems and content types where scientific claims already live, and builds a single, current map of what your organization has said.
Ask Claim-Level Questions
Move beyond keyword search across your content systems. Ask about a claim directly and get an answer grounded in approved, current evidence, with full source attribution.
Where has this claim appeared across Medical Information responses in the last two years?
Summarize everything we've claimed about this mechanism of action.
Generate a congress abstract using only currently approved claims.
Compare this scientific response document against our current label.
What claims changed after the last trial readout?
Find every training deck still using the retired claim language.
Why Claim Intelligence
Built to understand scientific claims, not just generate text about them