Euno is an AI-driven metadata management platform designed to streamline data governance and enhance analytics readiness. By integrating seamlessly with existing data infrastructures, Euno enables organizations to declutter analytics environments, reduce costs, and automate governance processes. Its AI agents provide comprehensive context, ensuring data is both understandable and trustworthy. Key Features and Functionality: - Optimization Program: Identifies and removes obsolete data products and deprecates unused resources, such as materialized models and refresh jobs, leading to cost savings and a more efficient data environment. - Certification Program: Establishes governance rules based on lineage, ownership, production tags, and SQL logic. It detects frequently used data products that violate these rules and provides guidance to re-establish certification, ensuring data reliability. - Metrics Source of Truth Program: Develops and maintains a scalable, consistent semantic model by identifying and prioritizing key metrics, resolving conflicting definitions, and facilitating proposals for metric alignment. - AI-Ready Metadata Management: Integrates lineage, code, utilization patterns, ownership, and semantics to drive data management and governance automations, preparing data for AI applications. - EQL (Euno Query Language): An AI-powered metadata expert that allows users to ask complex questions about usage patterns, lineage, metric calculations, and dependencies in natural language, enhancing data exploration and understanding. Primary Value and User Solutions: Euno addresses the challenges of data clutter, inconsistent metrics, and governance inefficiencies by providing automated tools that clean up data environments, certify dashboards, and align metrics. This ensures that AI agents and data teams can deliver trusted results consistently. By automating governance and optimization processes, Euno empowers organizations to maintain high data quality standards without impeding analytical innovation.