AI runs on data. Data runs on dbt.
dbt delivers the structured context and trusted standards your AI systems demand—ensuring fully governed, consistent outputs every time.
Don’t let messy data foundations hold your AI back.
Without a standardized foundation, teams waste time reinventing how data is structured, governed, and queried for every AI system—resulting in slower outputs, inconsistent answers, and brittle workflows that don’t scale.
Lack of trusted, governed data for AI models
High risk of inaccurate models and unreliable predictions
Difficulty scaling data infrastructure for AI
Fuel your AI systems with structured context
AI is only as reliable as the data it runs on. The dbt MCP server gives your AI agents and copilots direct access to structured, governed, version-controlled data. No brittle APIs, no duplicated logic. Define once, deploy everywhere: discover, query, and execute dbt projects with one connection.
Build your AI strategy on data you can trust.
All AI systems thrive on standardized data. dbt’s unified framework provides the consistent metrics, rich context, and automated workflows your entire AI portfolio demands to execute reliably at scale.
Redefine your data engineering
Use dbt Copilot to change how data engineering is done and focus on the data work that matters most
Stop AI misfires with trusted business context
dbt provides AI systems with semantic context that enables them to make decisions aligned with your company's unique metrics and definitions
Quickly trace, test, and fix AI data issues
With a testing framework that catches data quality issues before they reach your AI systems, dbt eliminates lengthy troubleshooting cycles for your team
One standard to power every AI tool
Teams only have to plug into the dbt MCP server once to enable any AI system discover, query, and execute with confidence and speed
Easily power any AI tool with trusted data
With the dbt MCP server, teams connect once to discover, query, and execute—instead of rebuilding logic and metadata for each AI agent and workflow
Trusted by teams building the future of AI.
Rebtel improves data quality and data team productivity by migrating from Matillion to dbt Cloud
Before, we couldn’t kick off any machine learning projects because incidents would happen. We had little visibility on our data lineage and code on Matillion, so we never really knew if the data was correct or complete. Now we’re working on an ML fraud prevention use case which will have a direct impact on our profit margins.
Chandan Singh, Head of Data
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Trusted globally. Proven at scale.
97% customer satisfaction
Rated 4.9/5 on G2 by thousands of data leaders who trust dbt for critical analytics and AI initiatives.
Enterprise-grade compliance
Named a Leader by Snowflake and Databricks
Recognized as Snowflake Data Integration Partner of the Year, and Databricks Customer Impact Partner of the Year
60,000+ teams
Over 60,000 teams worldwide rely on dbt, processing billions of data transformations with confidence
Dive deeper into AI with dbt.
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