Business intelligence
Euno
The AI context platform for enterprise data that provides real-time context infrastructure for AI agents to query the right data using the right logic at enterprise scale.
Euno turns enterprise metadata into automated, trusted context for AI agents to operate reliably and safely at scale, with real-time lineage, governance
Overview
A look at euno.ai
Euno is an AI context platform that enables enterprise AI agents to work effectively on company data. It continuously reconstructs a live context graph of your data stack covering end-to-end column-level lineage, usage, health, ownership and business logic. The platform automatically maps metadata, certifies data as AI-ready through governance rules, and delivers persona-governed context to agents at query time. Euno integrates with modern data stacks including data warehouses and BI tools, eliminating manual catalog maintenance while ensuring AI agents query the right data with the right logic, even in complex environments. The platform reads metadata only, not actual data, providing immediate value from day one without requiring data migration or replacement of existing tools.
Feature notes
- Column-level lineage from data sources to BI dashboards
- Real-time context for AI agents
- Automated metadata mapping
- Automated classification and governance
- PII exposure tracking
- Conversational discovery with Euno Assistant
- Metadata Querying Language (EQL)
- Impact analysis for column-level dependencies
- Governance workflows with automated alerts
- dbt and Looker integration sync
Pricing
Pricing model: Paid
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FAQ
- What is Euno?
- Euno is the enterprise context platform built for how AI agents work. It continuously reconstructs a live context graph of your data stack, covering end-to-end column-level lineage, usage, health, ownership and business logic, then delivers every agent exactly the context its task needs, governed by persona, at enterprise scale.
- Why do enterprise AI agents fail on company data?
- Because the context they depend on was built for people rather than machines. Catalogs assume someone browses them, semantic layers assume someone maintains them, and governance assumes someone reads the policy before running the query. Agents query thousands of times faster than the humans those systems were designed around.
- How does Euno work?
- Euno connects to your existing stack through native integrations, continuously reconstructs a live context graph from what it observes, applies rule-based labels driven by your institutional knowledge that certify what is AI-ready, and serves scoped, persona-governed context to your agents over MCP, SDK and API.
- Is Euno a data catalog?
- No. Catalogs are built for humans to browse and stewards to maintain. Euno is a context platform built for how agents work: the graph reconstructs itself, scopes itself to each task, and governs itself by persona. Customers typically replace catalog work rather than adding to it.
- How long does it take to see value?
- At enterprise scale, in weeks. A typical proof of concept runs one day to connect and crawl, then roughly two weeks of calibration against your own benchmark questions.
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