About Credible
Making meaning a native 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.
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 semantic models practical at enterprise scale.
Our mission is simple: to make data meaningful.
Our Team
Based in Boulder, Colorado, we’re a team of builders from Looker, Google, Meta, Stripe, Twitter, and Netflix who have spent years building products used by millions. What unites us is a shared belief that better data infrastructure unlocks better decisions, better products, and better AI.
Built on Open Source
Credible is built on Malloy, an open-source modeling language created by Looker’s founders. By embracing an open standard, we ensure your models remain transparent, portable, and free from vendor lock-in—while backed by the durability of an enterprise platform and the energy of a thriving developer community.
