Discover Dataiku Cobuild for financial services and industries
Dataiku Cobuild
The natural-language way to work across Dataiku. Get trusted answers from your data, build governed AI, and oversee every agent you run. One interface, across your whole platform.
Build faster
AI to build trusted AI in the enterprise.
One agentic interface, three ways to work
Explore
Ask your data, get trusted answers. Business teams get analyst-quality answers grounded in governed data. Every query respects the asker's access rights and is logged for audit.
Create
Turn ideas into working AI. Describe a goal and Cobuild builds the pipelines, models, agents, and apps as a visual Flow you can review and approve before production.
Manage
Oversee every agent. In Agent Management, Cobuild recommends value metrics and helps diagnose and remediate risk alerts, all in plain language.
Grounded in what you've already built
Cobuild draws on the Dataiku Catalog, your governed inventory of datasets, models, agents, and more. Describe a need and it finds the vetted assets that fit, then turns them into an answer or a pipeline with full lineage. Build on your company's AI work instead of starting over.
Work where your technical teams already are
Drive Cobuild from Claude Code, Codex, and similar tools without leaving your assistant. Build pipelines, models, and agents in Dataiku, and move legacy analytics into inspectable projects with no services engagement.
Enterprise control, built in
Cobuild is part of Dataiku, so governance travels with the work. You keep control of model choice, data residency, and oversight, with support for Snowflake Cortex AI, Databricks AI Gateway, AWS Bedrock, Google Gemini, Microsoft Foundry, OpenAI, Anthropic, and more.
See Dataiku Cobuild in action
Loved by customers and recognized by analysts
“The platform is intuitive, collaborative, and streamlines workflows from data prep to model deployment. Dataiku has truly transformed how we handle data!”
Data scientist
Retail
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Scale expertise with production-ready AI agents grounded in enterprise data, structured reasoning, and human oversight.
Explore E2ARequest a demo of Dataiku with an expert in your industry
Explore what AI success will look like for you.
Frequently asked questions
A natural language interface that runs across Dataiku. Ask your data and get governed answers. Describe a goal and Cobuild builds a production-ready project you can inspect and approve. Oversee your agents through the same experience. Governance is built in.
Explore your data for trusted answers, create working AI projects, and manage the agents you run. One consistent experience across all three.
Natural language answers for people who use AI without building projects, like fraud analysts and demand planners. They ask a question, get an answer grounded in governed data, and can carry the thread into deeper work in Dataiku. Every query respects the asker's access rights and is logged for audit.
Yes. With Dataiku Headless, teams in Claude Code, Codex, and similar tools build pipelines, models, and agents in Dataiku without leaving their assistant. It's also how teams migrate off legacy analytics into inspectable Dataiku projects, no services project needed.
Inside Agent Management, Cobuild recommends value metrics for your agents and helps you diagnose and remediate risk alerts, all in plain language.
Coding assistants generate scripts outside your enterprise infrastructure. Cobuild produces inspectable visual workflows with governance and controls built in, so teams validate and operationalize what gets generated without technical debt or shadow AI. It also works alongside those assistants: you can drive it headlessly from Claude Code and Codex.
Yes. Every project is fully editable and inspectable. Teams refine workflows conversationally while keeping governance and oversight in place.
Use the LLM of your choice from Anthropic, OpenAI, and Google, or through providers like Snowflake Cortex AI, Databricks AI Gateway, AWS Bedrock, and Microsoft Foundry. Open-source and on-premises models work too.
No. Data scientists use Cobuild to move faster while keeping full code control. It absorbs the backlog of business-user requests that don't need custom data science, freeing teams for higher-impact work.
Cobuild has been generally available since June 18, 2026. The expanded capabilities roll out through the fall.
