An AI-Assisted Modeler Experience
We bring a true software engineering workflow to data modeling, starting with a first-class development environment designed for productivity and a tight, iterative loop.
Work in a Familiar, First-Class IDE
Your modeling environment should be as powerful as any other software development toolchain. We provide a world-class experience directly within VS Code, Cursor, or your preferred editor, designed to make your workflow smooth and joyful.
Get Specialized AI Assistance
Building data models requires more than a generic coding agent; it demands purpose-built context engineering that understands your data, not just your code. Our AI co-pilot builds this context by indexing your database schemas, query logs, and existing models to provide intelligent, relevant suggestions. But a great model must also evolve. Credible helps you do this over time by intelligently identifying opportunities to improve its quality—finding redundant definitions, clarifying ambiguity, and expanding coverage based on real-world usage. This process turns your model into a living asset that improves with your business.
Test and Validate Instantly
Confidence comes from a tight feedback loop. Our VS Code extension provides a rich, interactive environment for validating your model as you build it. Run any query and see results instantly in the results panel, inspect the generated schema, or use the integrated Data Explorer UI to visually construct queries and see the generated Malloy code.
Malloy: A Language Built for Data
A modern workflow requires a modern language. Malloy is a second-generation semantic language that provides the necessary foundation to apply software principles to data, solving the problems that make SQL cumbersome for modeling.
Declarative & Readable
Stop telling the database how to join tables. With Malloy, you describe what data you want and the Malloy compiler handles the hard work of generating correct, efficient SQL, solving issues like the "fan-out problem" automatically.
Reusable & Composable
Malloy treats data logic like software components. Encapsulation bundles calculations with the data they describe. Inheritance allows you to extend a source (e.g., create a european_orders model from your base orders model) without duplicating code.
Unmatched Analytical Power
Malloy simplifies complex analysis. Symmetric aggregates ensure correctness across any join. Natively nested queries allow you to reuse analytical patterns, like a sales_over_time chart, inside other queries to create powerful, dashboard-like results with ease.
Simplified Level-of-Detail (LOD)
Level-of-Detail (LOD) calculations let you compute an aggregation at a different grain than your query's structure (e.g., calculating a product's percent of total category sales). Malloy makes these notoriously complex calculations trivial with simple, clear primitives.
A Mature & Stable Foundation
Malloy is a mature, production-ready language with a long-term commitment to backward compatibility. You can build with confidence on a stable, open-source core that is continuously improving to handle the most sophisticated analytical challenges.
From Code to Governed, Scalable Outcomes
This modern workflow and language enable you to turn your data models into reliable, production-ready assets that can be governed and scaled with confidence.
Version and Deploy Like Software
Your model is code, so it should be managed like code. Our platform supports a Git-native workflow, allowing you to use any version control system for branching, peer reviews, and a full audit trail. You can then bundle your models into a standardized Malloy Package and deploy governed, versioned assets with confidence, just like publishing a package to npm or PyPI. Our CLI tooling makes it simple to script these deployments and integrate them into any CI/CD pipeline for full automation.
Implement Granular, Code-Based Governance
Our platform provides a robust, hierarchical permissions system. Start with foundational role-based access to separate model development from consumption. When needed, implement fine-grained, attribute-based access controls using Malloy's powerful tags and annotations, which are first-class features of the language designed for rich, structured metadata.
Power Every Data Experience from One Model
A semantic model built on Credible becomes the reliable, governed hub that serves consistent data to every consumer.
Intelligent AI Applications
Turn your documented model into an active asset for AI. Our MCP API allows agents to read your metric definitions and query data with full business context.
Engaging Embedded Analytics
Use our REST API & React SDK to build any customer-facing data experience, all powered by a single, governed semantic model.
Consistent Business Intelligence
Enable every Tableau or Power BI dashboard across the company to show the same numbers via our SQL API.
Federated Semantic Platform
Free your teams to innovate, not wait. Our platform is the foundation that unifies your data’s meaning and consistently enforces policies, empowering teams to own and develop data assets and experiences without the central bottleneck.
Modeling for Everyone on the Team
While our VS Code extension offers the most powerful, feature-rich experience for engineers and analysts, we believe that everyone on the data team should be able to contribute to the semantic model.
That's why we also offer a streamlined, web-based UI for model creation and exploration. It's the perfect environment for less technical users to make edits, or for anyone to quickly build a new model with the same powerful AI assistance, making governed data modeling accessible to all.
Bring your semantic models to life
See how Credible helps you model, govern, and deliver trusted, AI-ready data from a single foundation.