The AI context engine
Make your data matter
Without context, AI gives confident answers no one trusts. Credible captures what your data means, then delivers your data and its meaning as context — to your AI agents, your dashboards, your product. Fast, secure, efficient.
How it works
From buried meaning to trusted context —
delivered everywhere
Context is what your data means and how to use it. Definitions, business rules, relationships – packaged so AI gets it right.
Capture
Your data’s meaning is scattered – across docs, decks, dashboards, SQL, and the heads of a few experts.
Credible connects to wherever that knowledge lives and automatically discovers the metrics, definitions, and relationships inside, pulling fragmented knowledge into one place.
Enrich
Capturing what’s written down is just the starting point. The real value is the knowledge your team carries – business rules, edge cases, what to trust, what to ignore.
Credible gets that context out of people’s heads and into a shared model your whole organization can rely on.
Deliver
Your data and its meaning only matter if they reach the moments decisions get made. Credible delivers both to every surface – AI agents, dashboards, embedded analytics in your product, and APIs for whatever you build next.
One data model. Every surface. Consistent answers. Fast, secure, efficient.
Get started
Your first data model
in minutes
Stop debating definitions. Start delivering answers.
Built on trust
A foundation you can build on
“AI-assisted reporting is at the front line of VideoAmp’s AI strategy, and Credible helps power it. The context engine is a cornerstone our AI roadmap is built on.”
Peter NummerdorSVP ProductVideoAmp“The ideas in Malloy are thirty years in the making, and today’s AI — with Malloy in its training data — writes it as fluently as Python. Semantic models improve AI accuracy dramatically.”
Lloyd TabbCo-founder of LookerThe Malloy Foundation“I use AI to build data models the whole org trusts – to get analysts off the critical path and to power the data experiences in our product.”
Raj LamgadayLead Data AnalystG2“Semantic models are becoming the operating system for modern AI. Credible is building where the industry is headed — a place to build with AI agents that already understand your business.”
Miles GarveyFounderBrabble (ex-G2)“I had two campaign report decks due the same day – I chatted with our model and had them before lunch. Reporting that took weeks is now a conversation, and we’re building it directly into our product.”
Aquiles La GraveCPOBars.com“We’re a lean team, and Credible is a force multiplier – AI answers grounded in definitions we control.”
Rory Armitage BurnsHead of Customer & DataHairburst“With Malloy we get a query language easier for LLMs and humans, and a semantic layer that captures our business definitions. I can’t recommend it enough for conversational analytics.”
Adam RibaudoData & Analytics LeadForm & Function“I’m a one-person data team supporting a national organization. Credible gives me leverage I didn’t think was possible.”
Nick LindbergCTOHumanGood“This is what analytics engineering should have been all along – succinct models, versioned in git, ready for AI.”
Maksim AntipevSenior Analytics EngineerJust Eat Takeaway.com“I bring Credible into client engagements because it makes their data mean something from day one.”
Daliso ZuzeFounderZuze Consulting“Malloy gives our AI agents something SQL never could: the meaning behind the data. They answer with our definitions – auditable, access-controlled, correct.”
Chris WoodsonAI ArchitectAugment Risk“AI raises the bar for data modeling. Weak models become immediately visible when AI consumes them. Credible gives teams the tooling to build and evolve data models at AI speed, powered by Malloy.”
Joe ReisAuthor & AdvisorFundamentals of Data Engineering
“AI-assisted reporting is at the front line of VideoAmp’s AI strategy, and Credible helps power it. The context engine is a cornerstone our AI roadmap is built on.”
Peter NummerdorSVP ProductVideoAmp“The ideas in Malloy are thirty years in the making, and today’s AI — with Malloy in its training data — writes it as fluently as Python. Semantic models improve AI accuracy dramatically.”
Lloyd TabbCo-founder of LookerThe Malloy Foundation“I use AI to build data models the whole org trusts – to get analysts off the critical path and to power the data experiences in our product.”
Raj LamgadayLead Data AnalystG2“Semantic models are becoming the operating system for modern AI. Credible is building where the industry is headed — a place to build with AI agents that already understand your business.”
Miles GarveyFounderBrabble (ex-G2)“I had two campaign report decks due the same day – I chatted with our model and had them before lunch. Reporting that took weeks is now a conversation, and we’re building it directly into our product.”
Aquiles La GraveCPOBars.com“We’re a lean team, and Credible is a force multiplier – AI answers grounded in definitions we control.”
Rory Armitage BurnsHead of Customer & DataHairburst“With Malloy we get a query language easier for LLMs and humans, and a semantic layer that captures our business definitions. I can’t recommend it enough for conversational analytics.”
Adam RibaudoData & Analytics LeadForm & Function“I’m a one-person data team supporting a national organization. Credible gives me leverage I didn’t think was possible.”
Nick LindbergCTOHumanGood“This is what analytics engineering should have been all along – succinct models, versioned in git, ready for AI.”
Maksim AntipevSenior Analytics EngineerJust Eat Takeaway.com“I bring Credible into client engagements because it makes their data mean something from day one.”
Daliso ZuzeFounderZuze Consulting“Malloy gives our AI agents something SQL never could: the meaning behind the data. They answer with our definitions – auditable, access-controlled, correct.”
Chris WoodsonAI ArchitectAugment Risk“AI raises the bar for data modeling. Weak models become immediately visible when AI consumes them. Credible gives teams the tooling to build and evolve data models at AI speed, powered by Malloy.”
Joe ReisAuthor & AdvisorFundamentals of Data Engineering
“AI-assisted reporting is at the front line of VideoAmp’s AI strategy, and Credible helps power it. The context engine is a cornerstone our AI roadmap is built on.”
Peter NummerdorSVP ProductVideoAmp“The ideas in Malloy are thirty years in the making, and today’s AI — with Malloy in its training data — writes it as fluently as Python. Semantic models improve AI accuracy dramatically.”
Lloyd TabbCo-founder of LookerThe Malloy Foundation“I use AI to build data models the whole org trusts – to get analysts off the critical path and to power the data experiences in our product.”
Raj LamgadayLead Data AnalystG2“Semantic models are becoming the operating system for modern AI. Credible is building where the industry is headed — a place to build with AI agents that already understand your business.”
Miles GarveyFounderBrabble (ex-G2)“I had two campaign report decks due the same day – I chatted with our model and had them before lunch. Reporting that took weeks is now a conversation, and we’re building it directly into our product.”
Aquiles La GraveCPOBars.com“We’re a lean team, and Credible is a force multiplier – AI answers grounded in definitions we control.”
Rory Armitage BurnsHead of Customer & DataHairburst“With Malloy we get a query language easier for LLMs and humans, and a semantic layer that captures our business definitions. I can’t recommend it enough for conversational analytics.”
Adam RibaudoData & Analytics LeadForm & Function“I’m a one-person data team supporting a national organization. Credible gives me leverage I didn’t think was possible.”
Nick LindbergCTOHumanGood“This is what analytics engineering should have been all along – succinct models, versioned in git, ready for AI.”
Maksim AntipevSenior Analytics EngineerJust Eat Takeaway.com“I bring Credible into client engagements because it makes their data mean something from day one.”
Daliso ZuzeFounderZuze Consulting“Malloy gives our AI agents something SQL never could: the meaning behind the data. They answer with our definitions – auditable, access-controlled, correct.”
Chris WoodsonAI ArchitectAugment Risk“AI raises the bar for data modeling. Weak models become immediately visible when AI consumes them. Credible gives teams the tooling to build and evolve data models at AI speed, powered by Malloy.”
Joe ReisAuthor & AdvisorFundamentals of Data Engineering
Security
SOC 2 certified. Fine-grained access controls, full audit logging, and every customer’s data fully isolated — by design.
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.
Who it's for
One context engine — tailored to how each team works
Your AI is guessing. Credible makes it know.
Point an AI agent at raw data and it will invent joins, guess at definitions, and treat stale data as current — all with complete confidence. Credible gives agents governed access to your data's meaning via MCP — the open standard agents use to connect to tools — so they query with the right definitions, respect access controls, and return answers that are explainable and auditable.
Answers you can trust — not hallucinations you have to debug.
Why Credible?
Built different: AI-first, enterprise-grade, open.
We didn't name our agent. Your agent already has one.
Every vendor promises AI answers you can trust. Then they lock them inside their app. Credible delivers trusted context to the tools you already use — and whatever you build next.
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. A simpler architecture that keeps up as AI-driven analysis accelerates. No wrappers, no workarounds, no legacy baggage.
Enterprise-grade by design
Fine-grained access controls, audit logging, and tenant isolation aren't add-ons — they're defined in the model, versioned in git, and enforced on every surface. Built for production workloads, not demos.
Built on open source, not lock-in
Credible is built on Malloy — an open-source language for capturing data's meaning and delivering it via APIs and MCP. Your models are code: portable, inspectable, yours. And as active members of the Open Semantics Interchange (OSI) working group, we're shaping the standards that keep them interoperable across the data stack.
Build on shared context
Your data matters. Make sure AI knows why.
Whether you’re deploying AI agents, building data products, or just tired of dashboards that disagree — Credible gives every tool the same trusted context.