Make your data mean something
Credible captures what your data means and delivers that meaning as context — wherever it's needed to generate trusted insights.
How it works
From scattered data to context AI agents can trust
Capture
Discover and catalog data assets from your existing stack, pulling fragmented knowledge into one place.
Enrich
Layer on institutional knowledge — business rules, edge cases, trusted sources — into a governed model.
Deliver
Serve meaning as context to every AI agent, dashboard, and application that needs trusted data.
Built on trust
Security and ecosystem you can rely on
What customers say
“Credible gave our AI agents the context they were missing. Answers went from plausible to actually correct.”
Jordan MercerVideoAmp“We stopped debating metric definitions the week we deployed Credible. That alone was worth it.”
Priya NairHairburst“Our data team used to be a bottleneck. Now anyone can get a trustworthy answer without filing a ticket.”
Sam OkaforWorkstep“Credible turned our fragmented data stack into something our AI actually understands.”
Alex ChenForm & Function
“Credible gave our AI agents the context they were missing. Answers went from plausible to actually correct.”
Jordan MercerVideoAmp“We stopped debating metric definitions the week we deployed Credible. That alone was worth it.”
Priya NairHairburst“Our data team used to be a bottleneck. Now anyone can get a trustworthy answer without filing a ticket.”
Sam OkaforWorkstep“Credible turned our fragmented data stack into something our AI actually understands.”
Alex ChenForm & Function
“Credible gave our AI agents the context they were missing. Answers went from plausible to actually correct.”
Jordan MercerVideoAmp“We stopped debating metric definitions the week we deployed Credible. That alone was worth it.”
Priya NairHairburst“Our data team used to be a bottleneck. Now anyone can get a trustworthy answer without filing a ticket.”
Sam OkaforWorkstep“Credible turned our fragmented data stack into something our AI actually understands.”
Alex ChenForm & Function
Foundation & ecosystem
Built on Malloy — created by the founders of Looker. Open source, production-hardened, and backed by a long-term commitment to backward compatibility.
Active members of the Open Semantics Interchange (OSI) working group.
Runs on AWS and Google Cloud — connects to Snowflake, BigQuery, Databricks, and more.
Backed by
$10M+ in seed stage financing
Who it's for
One context layer — tailored to how your teams work
Your AI is guessing. Credible makes it know.
Point an AI agent at raw data and it will make up definitions, guess at table relationships, and treat outdated data as current — all with complete confidence. Credible gives agents governed access to your data's meaning via MCP — so they query with the right definitions, respect access controls, and return answers that are explainable and auditable.
Why Credible?
Built different. Stays that way.
Built for AI from day one
Legacy BI and analytics vendors are bolting AI onto architectures designed for dashboards — adding complexity, not removing it. Credible was built from scratch for a world where AI agents, not just humans, consume your data.
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.