Dataiku Launches Cobuild on Snowflake: From Prompt to Production-Ready AI Workflow, Inside Snowflake

Dataiku, the Platform for AI Success, announced the launch of Cobuild on Snowflake, a new way for joint customers to turn natural-language intent into governed AI agents and workflows on Snowflake. The integration pairs Snowflake Cortex AI’s secure, native access to leading LLMs with Dataiku’s enterprise AI orchestration layer, helping Global 2000 companies expand who can build and operationalize AI with the governance, transparency, and cost controls required at enterprise scale.

The launch also reflects growing momentum between Dataiku and Snowflake, including hundreds of joint customers globally who can immediately benefit from the integrated solution.

AI coding assistants have fundamentally reshaped software development. But enterprises can’t apply the same approach to AI workflows without inheriting the problems: opaque outputs, no observability, and pipelines that teams can’t inspect before they ship. Cobuild on Snowflake gives joint Snowflake and Dataiku customers a different path: AI-assisted building that is native to Snowflake, visual for non-technical users, and governed by design for production from the start.

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“Consumer AI tools can make code appear instantly, but enterprises cannot afford to unleash opaque, unvalidated workflows into environments where accuracy, compliance, safety, and cost control matter,” explained Florian Douetteau, co-founder and CEO of Dataiku. “With Cobuild on Snowflake, organizations can bring the speed of AI-assisted development into a governed process with visual workflows that teams can inspect, validate, and improve before production.”

Powered by leading foundation models available through Cortex AI, Cobuild interprets a user’s business objective and converts it into a visual Dataiku workflow for data preparation, machine learning, AI agents, and applications. Dataiku enhances how teams build on Cortex AI, helping domain experts, analysts, and technical teams work together in a single workspace to translate business expertise into governed agents and workflows that operate with more context, accuracy, and control. Instead of opaque generated code, teams get an inspectable project where every step can be reviewed, edited, governed, and approved before deployment.

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“Snowflake Cortex AI brings leading models directly to governed enterprise data, so organizations can build and run AI where their business context already lives,” said Baris Gultekin, VP of AI, Snowflake. “With Dataiku’s Cobuild, customers can accelerate how business intent is translated into visual, governed workflows that can be inspected, optimized, and operationalized at scale. That combination matters as enterprises move AI into production and need accurate systems that they can trust.”

From AI Coding Assistance to Governed AI Building

Cobuild on Snowflake is designed to enhance how teams participate in AI development without turning enterprise AI into another black box. A user can describe a goal in natural language — prepare data for analysis, improve a model, or create an AI agent for a business process — and Cobuild generates a complete Dataiku workflow that teams can inspect and refine. Business users can understand what was built, data teams can validate the logic, and IT and governance teams can apply controls before anything moves into production.

Built for Snowflake Customers Ready to Scale AI

Cobuild on Snowflake extends Dataiku and Snowflake’s deep technical integration, which already spans visual data prep in-warehouse, ML training on Snowpark Container Services, batch and real-time ML inference, Iceberg catalog support, Cortex Agents, Cortex Analyst, Cortex Search, Cortex REST API, and Cortex AI Functions. With Cobuild on Snowflake, that foundation becomes a governed AI development environment for customers — connecting trusted data, leading LLMs, and Dataiku orchestration so business users can build, technical teams can validate, and governance leaders can trust what moves into production.