Dataiku launches managed AI workflow builder within Snowflake

Machine Learning


Dataiku Inc. today announced deeper integration with Snowflake Inc. aimed at simplifying the creation of enterprise AI agents while maintaining governance and operational control, which are an increasing concern as organizations move experimental generative AI projects into production.

The new product, called Cobuild on Snowflake, combines Snowflake Cortex AI services with Dataiku’s orchestration platform to enable business and technical users to create AI workflows and agents using natural language prompts. The companies said the integration is designed to turn business intent into production-ready workflows that can be fully reviewed, managed and deployed within the Snowflake environment.

This announcement reflects Dataiku’s broader strategy to position itself as an orchestration and governance layer for enterprise AI systems, rather than just a data analytics platform. Over the past year, the company has steadily expanded its focus on agent AI, introducing features that help enterprises manage large numbers of AI agents, orchestrate workflows, and maintain visibility into the behavior of automated systems.

Dataiku said governance, observability and cost control will be key differentiators as agent AI moves beyond isolated pilots and into large-scale production environments.

Cobuild on Snowflake attempts to address some common concerns by visually exposing workflow logic before deployment, rather than relying solely on generated code. Users can describe their business goals in natural language, and the system automatically generates Dataiku workflows for data preparation, machine learning models, AI agents, and applications. Your team can then inspect, validate, and modify the workflow before deploying it.

This integration builds on the long-standing partnership between the two companies. Snowflake is an investor and the companies share more than 350 customers worldwide. Existing collaborations include integration around visual data preparation, machine learning training on Snowpark Container Services, real-time and batch inference, Apache Iceberg catalog support, and Snowflake Cortex AI services.

Snowflake Cortex AI is a managed AI service within the Snowflake Data Cloud that provides direct access to large-scale language models, vector search, and related AI services. Under the new arrangement, code generation and workflow execution remain within the customer’s Snowflake environment and are accessed through a secure application programming interface.

The announcement also highlights a growing trend in the industry to incorporate AI processing directly into existing governance and security controls, without the need for extensive data copying or transfer.

Dataiku is building itself as a control layer for those environments. Last year, the company introduced an AI agent designed to unify enterprise agent deployments, and later launched Agent Hub, a centralized management framework aimed at giving organizations greater oversight over how they build and operate autonomous workflows.

The software will initially be available to joint Snowflake and Dataiku customers, with broader access planned later for Snowflake customers who evaluate Dataiku.

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