Dataiku Cobuild Boosts AI on Snowflake

Snowflake and Dataiku are streamlining enterprise AI development with Dataiku Cobuild on Snowflake. This integration aims to bridge the gap between business needs and scalable AI solutions, operating directly within Snowflake’s secure data cloud.

Many organizations struggle to convert their data investments into operational AI applications. The core challenge lies in enabling business-focused teams to contribute to AI development without compromising technical rigor or governance. Cobuild addresses this by providing a structured path from business intent to operational AI.

AI Development, Reimagined

Consumer AI has set high expectations for speed, but enterprise AI demands rigorous governance, observability, and operational controls. Cobuild on Snowflake ensures workflows are inspectable, outputs are validated, and resource utilization is monitored, preventing AI initiatives from stalling at the experimentation phase.

This solution runs natively on Snowflake, eliminating the need for data movement or separate security perimeters. AI workloads execute where the data resides, preserving established governance controls, role-based access policies, and compliance postures. Snowflake’s elastic compute scales AI development without resource contention.

Powered by Snowflake Cortex AI and orchestrated via Dataiku, Cobuild transforms natural language descriptions into complete Dataiku projects. These projects encompass data preparation, machine learning models, AI agents, and applications, all within the Snowflake AI Data Cloud. Transparency in every generated workflow empowers business teams, data practitioners, and governance teams to deploy AI responsibly.

Scaling AI Delivery

For existing Dataiku and Snowflake users, Cobuild broadens AI development access beyond central technical teams. Business users, analysts, and engineers can now build on Snowflake data using no-code to full-code workflows in Dataiku. This accelerates time to production and fosters wider organizational participation in AI development.

When requirements shift, teams can describe updates in plain language, reducing manual rework and accelerating development cycles. This approach allows teams to maintain focus on business impact rather than workflow reconstruction.

Deepening Snowflake Value

Cobuild on Snowflake is designed for organizations with robust data foundations seeking to operationalize AI more effectively. By operating entirely within Snowflake, it eliminates the need for separate AI infrastructure provisioning, cross-platform data management, or reconciling disparate governance policies.

Snowflake Cortex AI provides enterprise-grade LLMs within existing security boundaries. Snowflake’s unified platform extends access controls, audit logging, and cost visibility to AI workflows. This combination with Dataiku's orchestration capabilities offers a faster, more scalable approach to enterprise AI development without fragmenting data architecture or introducing governance blind spots.