About Credible
A trusted foundation for every decision—from AI to dashboards.
The modern data stack is powerful but fragmented. Too often, meaning is scattered across dashboards, SQL scripts, and tribal knowledge. That makes it hard for people to trust and harder for teams to build.
The AI era changes the game. Anyone—not just experts—should be able to model data, ask questions, build dashboards, or deploy AI agents on a foundation they can trust. That requires infrastructure that unifies meaning and makes data reusable everywhere.
That’s why we built Credible
Credible is a semantic platform that makes data trustworthy, ergonomic, and reusable — from dashboards to AI copilots. At the core is Malloy, the open-source modeling language we help steward. We extend Malloy with workflows, governance, and services that make semantic models practical at enterprise scale.
Our mission is simple: make data credible by design.
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.
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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.
