Euno

Euno is a metadata intelligence platform designed specifically for the age of AI. It automatically collects, organizes, and enriches metadata from your entire data stack, transforming raw technical information into actionable context. The platform stitches together lineage, code, utilization patterns, ownership, and semantics to create a comprehensive understanding of your data ecosystem. This goes beyond traditional data catalogs by making metadata actively useful rather than just descriptive.

What makes Euno stand out is its focus on automation and AI-readiness. Instead of manual tagging, Euno uses rule-based Active Metadata Tags that automatically label every data asset with contextual information like freshness, certification status, and compliance flags. The Euno Query Language (EQL) lets users ask complex questions about their data in natural language, while specialized programs handle optimization, certification, and metrics management automatically. The system integrates seamlessly with modern data tools like dbt, Looker, and Tableau, requiring zero onboarding lift.

Data teams and analytics engineers benefit most from Euno, especially those struggling with data governance at scale. Real-world use cases include automatically certifying dashboards based on lineage and usage patterns, identifying costly unused materialized models to cut infrastructure costs, and resolving conflicting metric definitions across different business intelligence tools. By providing reliable, automated context, Euno ensures that both human analysts and AI agents can work with trusted, well-understood data.