As artificial intelligence shifts from pilot projects to business-critical systems, the challenge for enterprises is no longer access to tools, but trust in how those tools operate.

Dataiku is responding to that concern with the launch of the 575 Lab, its new Open Source Office aimed at improving transparency, governance and reliability in modern AI systems.

The company said the 575 Lab will release open-source toolkits designed to make AI systems more explainable and secure, particularly as organizations deploy increasingly complex and autonomous “agentic” AI workflows.

“Open source isn’t just a distribution model — it’s 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, we’re helping teams to manage risk and use AI responsibly.”

The 575 Lab will initially introduce two open-source projects.

The first, Agent Explainability Tools, is designed to help teams trace and understand decision-making across multi-step AI agent workflows. The goal is to make agent decisions transparent not only to data scientists but also to compliance teams and end users.

The second, Privacy-Preserving Proxies, focuses on protecting sensitive data when enterprises use closed-source AI models. The tool will allow organizations to safeguard data end-to-end, with the option to run systems locally.

Both toolkits are intended to support responsible enterprise AI by strengthening explainability, privacy and governance across AI and agent-based systems.

Dataiku said the move builds on its decade of experience in enterprise AI, translating internal best practices into reusable, community-driven tools. The company is a member of the Linux Foundation and the newly formed Agentic AI Foundation, signaling a broader industry push toward open standards for AI oversight.

“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 lab is now open to AI specialists, data scientists and developers working on AI agents and applications within their organizations. Dataiku said contributors can follow the projects, join the community and help shape what it calls “open trust infrastructure” for enterprise AI at scale.