Universal AI Platform™ now enables creation, control, and orchestration of AI agents with built-in governance and observability
Dataiku has introduced a powerful new set of capabilities for building and managing AI agents at scale. Part of its Universal AI Platform™, AI Agents with Dataiku brings centralized agent creation, control, and performance monitoring to enterprise environments looking to operationalize GenAI across business workflows.
As organizations ramp up adoption, many struggle with uncontrolled agent sprawl, lack of oversight, and rising technical debt. Dataiku addresses this challenge with a unified approach that embeds agent development into governed, analytics-driven environments already used by data and IT teams.
Dataiku’s platform offers both no-code and full-code agent creation tools, backed by features like a GenAI Registry for oversight, validation workflows for risk management, and sign-offs before production deployment. With the LLM Mesh Architecture, organizations can securely manage access to proprietary, cloud, and open-source models without vendor lock-in.
“AI is raw power — and it’s time for companies to take control.”
— Florian Douetteau, Co-founder and CEO, Dataiku
“To avoid agent chaos, enterprises need orchestration, observability, and trust — not just experimentation,” said Florian Douetteau, CEO of Dataiku. “Our platform empowers organizations to evolve from scattered pilots to business-critical AI systems.”
Dataiku also enables continuous optimization with tools like Trace Explorer for debugging, Quality Guard for performance evaluation, and Cost Guard for real-time budget tracking.
Compatible with major cloud and data platforms including Snowflake, AWS, and Databricks, Dataiku’s agent capabilities help enterprises integrate AI directly into data pipelines, MLOps, and governance frameworks.
