Dataiku has announced the availability of Dataiku Cobuild, an AI building agent that enables any enterprise team to turn a business objective into a governed, production-ready AI project, without writing a line of code or bypassing the enterprise controls their organizations depend on.
The launch comes at a critical inflection point. Enterprises have spent years building modern data foundations and AI strategies, yet the gap between AI experimentation and operational deployment remains stubbornly wide. Code-generation tools have been rapidly adopted to speed software development, but their outputs are often beyond the skills or tools of most business and governance teams to properly review. Meanwhile, standalone agent builders create prototypes that live outside enterprise infrastructure. The result: AI backlogs grow, technical debt builds, and the business waits.
“AI-assisted building compresses the distance between an idea and a production-ready workflow. But in an enterprise and especially in pharma, the output has to be more than impressive. It has to be explainable, auditable, and safe to put into production. That’s the gap Dataiku Cobuild closes,” said Neil Patel, Senior Director, Analytics Experience, Pfizer.
Cobuild starts with a business problem and turns it into a complete Dataiku project, with governance baked in from the start. Using frontier AI models to identify the relevant data, design the right workflows, and generate the underlying components: data pipelines, machine learning models, agents, and applications. The result is rendered as a visual flow that every stakeholder can inspect, edit, and approve before anything reaches production.
“AI-assisted development only matters if the output can survive contact with the enterprise,” said Clément Stenac, co-founder and CTO of Dataiku. “That means it has to be understandable to the people closest to the business, governable by the teams responsible for risk, and production-ready for the IT teams that run it. Cobuild was built to that standard: AI brings the speed, while enterprise teams bring the business ingenuity, and IT keeps the control.”
Cobuild operates fully within Dataiku’s existing governance and permissioning frameworks, enabling enterprises to scale AI development across the business without sacrificing the oversight and control teams depend on. Companies can power Cobuild through Dataiku AI Services or connect their own models via Dataiku LLM Mesh, with support for Snowflake Cortex AI, Databricks AI Gateway, AWS Bedrock, Google Gemini, Microsoft Foundry, OpenAI, Anthropic, and others, ensuring model choice, data residency, and oversight requirements remain under enterprise control.
