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Euno

Automates metadata context to empower data teams and AI with trusted, governed analytics and cost-efficient data environ
8.4
Rating
Free
Price
6
Key Features

Overview

Euno is a metadata intelligence platform that automates contextual metadata (Active Metadata Tags, lineage, usage, ownership, semantics) to deliver trusted data, reduce costs, and enable governed AI workflows. It provides a metadata catalog, column-level lineage, impact analysis, automated governance workflows, and an AI assistant (EQL/Ask AI) that answers natural-language queries about data assets. Euno focuses on converting conversations and signals into structured metadata, maintaining semantic models, enforcing governance rules, and surfacing ownership and trust signals across the modern data stack.

Details

Developer
euno.ai
Launch Year
Free Trial
No
Updated
2025-12-07

Features

Semantic Metadata Catalog

Intent-driven semantic search across lineage, code, and catalogs; converts conversations into structured metadata and improves discovery.

Column-level Lineage & Impact Analysis

Maps column-to-column lineage from warehouse to BI, prioritizes impacted assets by usage, and offers CI integration to block risky merges.

Automated Governance & Active Tags

Define and auto-apply metadata tags (certified, PII, stale), run compliance checks, alert owners, and automate cleanup of stale assets.

Ask AI / EQL Natural Language Assistant

Natural-language queries over metadata and lineage to answer who/what/where questions, explain metric logic, and create tags from results.

MCP Server (Context Layer for AI Agents)

Pre-processed context layer that enables AI agents to operate on reliable, end-to-end metadata (dependencies, usage, semantics).

dbt–Looker Synchronization & BI Integration

Syncs semantic models, metrics, and definitions across dbt and BI layers to reduce metric conflicts and improve semantic alignment.

Screenshots

Euno Screenshot
Euno Screenshot
Euno Screenshot

Pricing

Start
Free

Core platform for teams getting started with metadata and governance at small scale.

  • Up to 10K resources
  • Core metadata catalog and discovery
  • Column-level lineage
  • Impact analysis (reports)
  • Core governance package (certification, tagging)
  • Semantic search and EQL queries
  • Google SSO
  • Unlimited users
Scale
Free

Expanded capabilities and higher resource quotas for growing organizations.

  • Up to 100K resources
  • Everything in Start
  • Advanced Governance package
  • Advanced AI package (richer Ask AI/EQL capabilities)
  • Unlimited integrations and higher tag quotas
  • Okta SSO
  • MCP server for richer AI context
  • Unlimited workflows and dashboards
Enterprise
Free

Custom enterprise tier with maximum scale, premium support, and custom integrations.

  • Custom scale ("up to any scale")
  • Everything in Scale
  • Enterprise Governance & AI packages
  • Custom integrations and premium support
  • Higher quotas for active metadata tags and interactions
  • Tailored onboarding and SLA options
  • CI integration for impact blocking
  • Policy enforcement and enterprise controls

Pros & Cons

Pros

  • Automates metadata creation and governance, reducing manual tagging
  • Strong lineage, impact analysis, and column-level tracing across warehouse→BI
  • Natural-language metadata queries (EQL / Ask AI) for non-technical users
  • Focus on semantic model governance, PII propagation, and certification workflows
  • Integrations with dbt and BI tools (Looker) and SSO support

Cons

  • No public numeric pricing on pricing page (requires contacting sales)
  • Documentation link produced a 404 in the crawl (docs page not available)
  • Enterprise orientation may require sales-led engagement for many customers
  • Potential complexity for very diverse legacy/on-prem stacks (integration effort)

Compare with Alternatives

FeatureEunoillumex.aiSema4.ai
PricingN/AN/AN/A
Rating8.4/108.3/108.1/10
Semantic Graph DepthModerate semantic graph depthDeep virtual knowledge graphAgent focused light semantic graph
Lineage GranularityYesYesPartial
Agent Context LayerYesPartialYes
BI Semantic SyncYesPartialPartial
Governance AutomationYesYesPartial
Explainability AuditPartialPartialYes
Deployment IntegrationsPartialYesYes

Audience

Data TeamsAutomate metadata and governance to maintain trust and scale self-service analytics.
Data EngineersTrace lineage and integrate CI to protect pipelines and prevent breaking changes.
AnalystsUse natural-language queries to quickly find metrics, definitions, and data dependencies.
BI/Analytics LeadersGovern semantic models and certify dashboards to ensure consistent KPIs across teams.
Security & CompliancePropagate PII tags, run compliance checks, and enforce data protection policies.

Tags

metadata intelligencedata governancelineagesemantic modelAI readinessdbtLooker