On June 11, 2026, Dataiku launched Cobuild, an AI building agent aimed at simplifying the process of turning business objectives into production-ready AI projects. This initiative arrives as many enterprises struggle to transition from AI experimentation to operational deployment. Despite significant investments in modern data infrastructure and AI strategies, organizations encounter difficulties bridging the gap between ideation and execution.
Code-generation tools have gained popularity for speeding up software development, but their results often surpass the capabilities of most business and governance teams, making them hard to review. At the same time, standalone agent builders frequently produce prototypes that fail to integrate with existing enterprise ecosystems, which leads to increased AI backlogs and growing technical debt.
Neil Patel, Senior Director of Analytics Experience at Pfizer, highlighted the importance of this launch, stating, “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.”
Cobuild starts with a defined business problem and transforms it into a comprehensive Dataiku project, ensuring governance is embedded from the beginning. By employing advanced AI models, Cobuild identifies relevant data, designs optimal workflows, and generates essential components like data pipelines, machine learning models, agents, and applications. The process concludes with a visual flow that stakeholders can review, edit, and approve before production deployment.
Clément Stenac, co-founder and CTO of Dataiku, noted, “AI-assisted development only matters if the output can survive contact with the enterprise. 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.”
Operating within Dataiku’s established governance and permissioning frameworks, Cobuild enables enterprises to scale AI development while retaining oversight and control. Businesses can use Dataiku AI Services or integrate their own models via Dataiku LLM Mesh. This includes support for platforms such as Snowflake Cortex AI, OpenAI, Anthropic, AWS Bedrock, Google Gemini, and Microsoft Foundry, ensuring that model selection, data residency, and oversight meet enterprise needs.
Cobuild will be generally available to customers starting June 18, 2026. Organizations interested in this tool can find more information on the Dataiku website. As Dataiku aims to be a key platform for AI success, Cobuild marks a significant advancement in enabling enterprises to integrate AI across multi-vendor environments while ensuring centralized governance and control throughout the process.
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