Dataiku has announced the launch of Agent Hub, a centralized workspace designed to help enterprises manage and scale AI agents securely. The new feature is part of The Universal AI Platform™ and aims to eliminate fragmentation from ungoverned AI experiments.

The company revealed that Agent Hub allows any employee to discover, use, and build approved AI agents, while IT retains complete control over access, data, and lifecycle management. This ensures that innovation remains compliant, transparent, and aligned with enterprise governance.

Dataiku reported that most enterprises face similar challenges when adopting AI agents such as scattered experiments, limited oversight, and difficulty proving ROI. Agent Hub addresses these issues by treating AI agents as mission-critical assets connected to business data and governed end-to-end.

Key benefits of Agent Hub include:
• IT in Control: IT defines which agents, models, and tools are accessible.
• A Trusted Library: Employees can easily find approved agents for various tasks.
• Build in Minutes: Users can create and share agents using 20+ ready-to-use templates.
• Scale What Works: IT can monitor agent performance and promote high-impact models.

Florian Douetteau, Co-founder and CEO of Dataiku, said that Agent Hub allows both freedom and control in AI adoption. He emphasized that this balance transforms fragmented projects into measurable ROI for CFOs and scalable innovation for CIOs.

According to Clément Stenac, Co-founder and CTO of Dataiku, Agent Hub bridges the gap between experimentation and enterprise-grade AI adoption. It enables innovation while maintaining governance, helping organizations generate real business value from AI agents.

Dataiku stated that Agent Hub connects seamlessly to enterprise data pipelines and ML workflows. It also includes built-in security, oversight, and observability, offering a unified foundation for scalable, collaborative, and well-governed enterprise AI.

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