
At Euno, we envision a future where data governance transcends complexity to become an effortless, automated foundation for trust and insight. Our mission is to redefine how organizations govern data by embedding intelligence and context into every data asset, enabling teams and AI agents to navigate and utilize data with unshakable confidence.
We are building cutting-edge metadata management technology that seamlessly integrates with the modern data stack, automating the discovery and enforcement of semantic consistency, lineage, and ownership. By transforming metadata into dynamic, actionable knowledge, Euno empowers businesses to scale governance with precision and agility.
Our platform paves the way for a new era of data-driven decision-making, where governance is not a bottleneck but a strategic enabler of innovation, efficiency, and trust across analytics and AI initiatives.
Our Review
We've been tracking Euno since their launch in early 2023, and honestly, they've caught our attention for all the right reasons. While most data governance tools feel like digital paperwork, Euno's approach is refreshingly different — they're automating the tedious stuff so data teams can actually focus on insights.
The Smart Automation Play
What impressed us most is how Euno tackles the metadata mess that plagues every data team. Instead of making you manually document every data lineage and ownership detail, their AI-powered platform automatically stitches together the context around your data assets. We're talking about seamless integration with tools you're already using — Looker, Tableau, PowerBI, and dbt — without the usual onboarding headaches.
The business logic discovery feature is particularly clever. It maps semantic definitions across platforms, which means no more conflicting metric definitions between your BI dashboard and that SQL query your analyst ran last week.
Sarah Levy's Technical Vision
CEO Sarah Levy brings serious technical chops to the table — her background spans data science, AI, and even physics research. Having served as VP of Data Science at Pagaya and CTO at Sight Diagnostics, she clearly understands the pain points that drive data teams crazy. This isn't another governance tool built by consultants; it's engineered by someone who's lived through the chaos of scaling data operations.
Where Euno Shines
We're particularly excited about their automated data model governance capabilities. The platform can generate dbt code, detect duplications and conflicts, and enforce consistency checks — all while reducing the manual work that usually bogs down data engineers. Their cost optimization features are smart too, helping teams identify and clean up stale data products before they drain the budget.
The semantic layer integration is another win. By centralizing definitions in dbt, Euno ensures your metrics execute consistently whether someone's using a BI tool or writing direct SQL queries.
Best Fit for Growing Data Teams
Euno works best for organizations already invested in modern data stacks, especially those using dbt for transformations and multiple BI tools for analytics. If your data team spends more time hunting down data lineage than building dashboards, Euno could be a game-changer. It's particularly valuable for companies preparing for AI initiatives — because let's face it, your AI is only as good as the data governance behind it.
Automated metadata intelligence platform stitching lineage, code, utilization, ownership, and semantics
Business logic discovery integrating with BI tools like Looker, Tableau, PowerBI, and dbt
Automated data model governance with guardrails, consistency checks, duplication/conflict detection, and dbt code automation
Semantic and metrics layer integration for consistent definitions and execution across BI and SQL
Cost optimization and certification programs for data governance and compliance






