The AI Analytics Engine
Make your data Credible
Model your data's meaning. Credible generates the rest — dashboards, data apps, semantic layer, pipelines, storage — and delivers context you can trust to every AI agent that asks.
How it works
From raw data to answers you can trust
The engine has one job: turn raw data into answers you can trust, for every person, agent, and app that asks. Credible helps you collect what your data means from wherever it lives and write it down as a data model, then serves every question from it – so every answer agrees, and every answer makes the next one better.
Collect what your data means
Your data arrives as tables, logs, spreadsheets, JSON. What it means is scattered across old docs, dashboards, SQL, and the heads of a few experts.
Credible helps you connect to wherever the data and its meaning live – over MCP – and capture the definitions, metrics, and relationships inside, before anything is written down.
Write it down as a data model
A data model transforms raw data into named business concepts – revenue, active user, the rows the West team sees – defined once.
An agent drafts most of it with our modeling skills; your team supplies the judgment. You own the what. The engine generates the how – dashboards, data apps, semantic layer, pipelines, storage – no warehouse required.
Deliver every answer from that data model
Every question – from a person, an agent, a dashboard, or your data app – enters through one gateway, is checked against the model’s access rules, and gets just the slice it needs.
The same answer, wherever it’s asked. And telemetry captures every question and answer, so the engine can optimize itself and get faster, cheaper, and more accurate the more you ask.
Get started
Your first data model
in minutes
Stop debating definitions. Start delivering answers.
Built on trust
Engineered like infrastructure
“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 LookerMalloy, a Linux Foundation project“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“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 GraveCo-founder & CPObars.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“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’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 LookerMalloy, a Linux Foundation project“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“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 GraveCo-founder & CPObars.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“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’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 LookerMalloy, a Linux Foundation project“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“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 GraveCo-founder & CPObars.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“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’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 compliant. Every query passes through one gateway, where it’s checked against the model’s access rules and logged to a permanent audit trail — and every customer’s data is fully isolated, by design.
Open source & ecosystem
Built on Malloy — created by the founders of Looker, production-hardened, and backed by a long-term commitment to backward compatibility.
Runs on AWS and Google Cloud. Connects to Snowflake, BigQuery, Databricks, Postgres, and more — or skip the warehouse and connect data where it already lives: transactional databases, spreadsheets, flat files.
Who it's for
One AI Analytics Engine — you tune to how each team works
Your AI is guessing. Credible makes it know.
Point an agent at raw data and it fills the gaps with unfounded confidence: invented joins, guessed definitions, stale data treated as current. Credible gives agents the data model instead, over MCP. Each question gets just the slice of the model it needs, so the answer uses the right definitions, respects who can see what, and shows its work.
Context 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. That's a platform. Credible is the engine that plugs into the one you already use: Claude, ChatGPT, Gemini, and the agents you build yourself. One data model, so every answer agrees, wherever the question gets asked.
Built for AI from day one
The market’s answers to AI analytics keep the modern data stack and upgrade one layer: a smarter workspace, or a faster warehouse. Credible took the layers out — one engine, built from scratch for a world where AI agents, not just people, consume your data.
Enterprise-grade by design
Fine-grained access controls, audit logging, and tenant isolation aren't add-ons — they're defined in the data model, versioned in git, and enforced on every query. Built for production workloads, not demos.
Built on open source, not lock-in
Credible is built on Malloy, the open-source language for what your data means. Your data model is plain text in git — portable, inspectable, yours — on any warehouse. Through Apache Ossie, we're making that meaning an open standard.
The AI Analytics Engine