As AI moves from pilots to business-critical deployment, the issue is no longer access. Itʼs trust. Open source tools support that trust by keeping core components inspectable and standardizable, enabling stronger oversight across modern AI systems. Dataiku announced the launch of the 575 Lab, Dataiku’s Open Source Office. The 575 Lab will release two new open-source toolkits designed to help enterprises make AI systems more transparent, governable, and fit for real-world use.
The 575 Lab will focus on delivering deployable tools that strengthen explainability, privacy, and governance across modern AI and agentic systems. The two initial open-source projects will be:
- Agent Explainability Tools that will help teams trace and understand decision-making across multi-step agent workflows, making agent decisions transparent for data scientists, compliance teams, and end users.
- Privacy-Preserving Proxies that will enable safer use of closed-source models by protecting sensitive data end-to-end, and that teams will be able to run locally.
Both projects will be designed to support responsible enterprise AI, with a focus on reliability, security, transparency, and explainability.
“Open source isnʼt just a distribution model-tʼs a trust model,” said Hannes Hapke, Director of the 575 Lab. “As AI systems become more autonomous and more consequential, enterprises need tools they can inspect, verify, and adapt. By building these foundations in the open, weʼre helping teams to manage risk and use AI responsibly.”
575 Lab turns Dataikuʼs decade of enterprise AI experience into open source tools that help enterprises see what AI is doing and stay in control. As a member of the Linux Foundation and the new Agentic AI Foundation, Dataiku is doing this work in close collaboration with the community.
“Enterprises are building increasingly complex agentic ecosystems,” said Florian Douetteau, CEO and co-founder of Dataiku. “To make them safer to use, they need reusable building blocks that can become the standards for how agentic systems are controlled and inspected. The 575 Lab is contributing to open source to foster the community from which those standards will emerge.”
The 575 Lab is now available to the community of AI specialists, data scientists, and developers responsible for creating, deploying, and scaling AI agents and applications within their organizations. Developers, data leaders, and partners can follow the projects, join the contributor community, and help shape the open trust infrastructure required for enterprise AI at scale
