Unlock Your Data
The AI Analytics Engine
Credible is the engine that powers your analytics: it models what your data means, then delivers it to your AI agents, data apps, and dashboards. Secure, fast, and efficient.
How it works
From buried meaning to
governed data models to
trusted answers everywhere
What your data means is scattered across your company. Credible helps you build a data model from it and serves every question from that model – so every answer agrees.
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.
Model
Capture finds what’s written down and how the data is used. It can’t find judgment – the business rules, edge cases, and calls on what to trust that live in your experts’ heads.
Your team supplies that judgment; Credible turns it into a data model – what the data means, who can access it, how it’s served. That’s governance.
Deliver
A model only matters if it reaches the moments decisions get made. Credible delivers it 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.
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“Credible helps us model our data once and ship it as scoped, governed MCP to internal users — no duplicated logic, no analyst bottleneck. It’s the best way to get trusted data into every Session, Agent, Skill and Plugin we develop.”
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)“Your platform is insane. Two report decks due the same day – I chatted with our model and had both before lunch. Reporting that took weeks is now a conversation we’re building into our product for our customers.”
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 the CTO supporting a national senior living healthcare organization. We are in the process of growing our internal data capabilities, and Credible gives me the leverage I need to tap into that capability now.”
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“Credible helps us model our data once and ship it as scoped, governed MCP to internal users — no duplicated logic, no analyst bottleneck. It’s the best way to get trusted data into every Session, Agent, Skill and Plugin we develop.”
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)“Your platform is insane. Two report decks due the same day – I chatted with our model and had both before lunch. Reporting that took weeks is now a conversation we’re building into our product for our customers.”
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 the CTO supporting a national senior living healthcare organization. We are in the process of growing our internal data capabilities, and Credible gives me the leverage I need to tap into that capability now.”
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“Credible helps us model our data once and ship it as scoped, governed MCP to internal users — no duplicated logic, no analyst bottleneck. It’s the best way to get trusted data into every Session, Agent, Skill and Plugin we develop.”
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)“Your platform is insane. Two report decks due the same day – I chatted with our model and had both before lunch. Reporting that took weeks is now a conversation we’re building into our product for our customers.”
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 the CTO supporting a national senior living healthcare organization. We are in the process of growing our internal data capabilities, and Credible gives me the leverage I need to tap into that capability now.”
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.
Runs on AWS and Google Cloud — connects to Snowflake, BigQuery, Databricks, and more.
Who it's for
One analytics 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 build an agent. You already own the harness.
Every vendor promises AI answers you can trust — inside their chat window, on their agent, in their app. Credible plugs into the harness you already own: Claude, ChatGPT, Gemini, and the agents you build yourself. One governed data model, the same answers, wherever the question gets asked.
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. 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 Apache Ossie, we're shaping the standards that keep them interoperable across the data stack.
The AI Analytics Engine
Unlock your data
Whether you’re deploying AI agents, building data products, or just tired of dashboards that disagree — Credible gives every one of them the same governed data model, and the same answers.