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.
How it works
From fragmented definitions to governed context across every surface.
Capture what exists
Credible connects to your existing data stack and automatically discovers the metrics, definitions, and relationships that exist — pulling fragmented knowledge into one place.
Enrich it with business context
Capturing what's in your data stack is just the starting point. The real value is the institutional knowledge your team carries — business rules, edge cases, trusted sources, what to ignore. Credible helps get that context out of people's heads and into a governed data model your whole organization can trust.
Deliver it in context
A governed data model is only valuable if it's there when a decision is made. Credible delivers your data's meaning as context to every tool your teams use — AI agents, dashboards, embedded analytics in your product, and APIs for custom applications. Every surface gets the same definitions, the same logic, the same access controls.
Built on trust
“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.
See how Credible works with your data
Stop debating definitions. Start delivering answers.
Why Credible?
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.
Insights you can act on
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.