About Credible
Making meaning part of the data stack
Modern data systems are powerful but fragmented. Definitions, metrics, and institutional knowledge are scattered across dashboards, SQL, and documentation -- making data harder to trust and harder to use.
- DefinitionsDocumentation
- MetricsDashboards + SQL
- KnowledgeInstitutional
Credible
Context engine
- PeopleExplainable
- AIReady to act
Open-source foundation
Built on Malloy
Our mission
To make data meaningful
Credible is a context engine that unifies meaning across an organization's data and delivers it wherever data is used -- by people and by AI. By encoding definitions, institutional knowledge, and analytical intent once, Credible makes data reusable, explainable, and ready for action.
Built on the open-source modeling language Malloy, Credible combines an open standard with the workflows and governance needed to make models practical at enterprise scale.
The people behind Credible
Our Team
We're builders from Looker, Google, Meta, Stripe, Twitter, and Netflix who have spent years building data products used by millions.
We started Credible after seeing the same problem everywhere: data getting more powerful, while understanding got harder.
Experience spanning
- Looker
- Meta
- Stripe
- Netflix