The context engine for the AI Era
Every team is racing to put AI on their data. But AI without context delivers answers nobody trusts. Credible captures what your data means and delivers that meaning as context — so every AI agent,workflow, and application generates insights you can act on.
See how Credible works with your data
Stop debating definitions. Start delivering answers.
Why Credible?
Built for AI from day one
Credible was built from scratch for a world where AI agents, not just humans, consume your data. Less UI complexity, more scale, and a simpler architecture designed to keep up as AI-driven analysis accelerates. No wrappers, no workarounds, no legacy baggage.
Enterprise-grade by design
Fine-grained access controls, full audit logging, and git-based version control for every model. Multi-tenant isolation for embedded use cases. Credible is built for production workloads, not just demos.
Built on open source, not lock-in
Credible is built on Malloy — an open-source language for modeling data's meaning, serving it via APIs and MCP, and exploring it through AI and UIs. Your models are portable. You own them. No vendor lock-in.
Your data means something. Make sure AI knows it.
Whether you're deploying AI agents, building data products, or just tired of dashboards that disagree — Credible gives every tool the same trusted context.