01

Information is not intelligence

A record tells you something exists. Intelligence tells you what it means, why it matters, and what to do next. We build for the second part. A product that only does the first isn't finished.

02

Access is not the finish line

Publishing data in the public interest is necessary work, and we don't take it for granted. But publication is the beginning of usefulness, not the end of it.

03

AI is an instrument, not the product

Models accelerate the work. They don't replace grounded sources, domain knowledge, governance, or a human being accountable for the conclusion. Every answer we produce has to trace back to evidence someone can check.

04

Public data should create public value

Information collected and published in the public interest should be designed to serve the people it's meant for — not only the people with the technical skill to extract it.

05

The destination is action

Connecting records and explaining significance is only worth doing if it changes what someone is able to see, ask, decide, or do. If it doesn't change that, it isn't intelligence yet — it's still just information.

Where these come from

These aren't abstract principles. They came out of one person's search for answers that public data should have made easy.

That search — and the observation that came out of it — is told in full in From the Founder, including the chapter on how these beliefs took shape.

See these beliefs applied to real public data.

Explore products → Information Intelligence