Dataiku announced the launch of Cobuild on Snowflake to turn natural-language intent into governed AI agents and workflows. This integration pairs Snowflake Cortex AI with the enterprise AI orchestration layer from Dataiku. Global 2000 companies can now build and operationalize AI with transparency, governance, and essential cost controls. Currently, hundreds of joint customers globally can immediately benefit from this newly integrated solution.
Secure Enterprise AI Integration
The new tool interprets a business objective through foundation models available via Cortex AI. Then, Cobuild on Snowflake generates a complete visual Dataiku workflow for data preparation and machine learning. Teams receive an inspectable project where they can review, edit, and approve every step before deployment.
“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.”
The deep technical integration already spans visual data preparation, machine learning training, and real-time machine learning inference. Users simply describe a goal in natural language to create a complete project. Furthermore, all AI generation executes within the Snowflake environment of the customer through a secure REST API.
“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.”
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News Source: Businesswire.com
