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Platform review

Context platform

Euno review: an AI context platform for enterprise data agents

Short answer

Euno maps metadata across the warehouse, dbt and BI tools into a context graph and serves a scoped slice to AI agents through an MCP server. It documents column-level lineage to the agent, governance labels and a loop for testing agent answers. It scores 7.64 and ranks 2 of 9; it is SaaS only, publishes no dollar prices and caps integrations by plan.

By The Lineage Desk · Best Data Catalogs · Published

Desk research from public vendor pages. Editorial assessment.

7.64 / 10

Rank 2 of 9 on default weights. Change the weights

What does Euno do for AI agents?

Euno crawls the metadata of your warehouse, transformation and BI tools through their APIs and query logs, computes a context graph ahead of time, and serves a scoped slice of it to AI agents through an MCP server.

Agent interface
MCP server, Context API, Euno Assistant
Lineage
Column level, from sources through BI dashboards to AI agents
Deployment
Cloud-native SaaS; reads metadata only. No self-hosted or open-source edition described.
Best for
Data teams that want agents grounded in lineage and governance across warehouse, dbt and BI without finishing a semantic layer first

Which hops from warehouse to agent does Euno document?

Euno context path: documents 5 of 5 stages.1Warehouse and lakehouse2Transformation (dbt, ETL)3BI and semantic logic4Governance and access rules5Delivery to agents (MCP or API)
  • Solid dotDocumented on the vendor's pages
  • Dashed hollow dotNot documented on the pages we read

  1. 1Warehouse and lakehouse: Documented

    Live lineage from the warehouse; Snowflake and BigQuery appear in the AlphaSense stack.

    Source: Euno blog: AlphaSense x Euno at dbt Summit

  2. 2Transformation (dbt, ETL): Documented

    dbt models in the lineage graph, plus dbt and Looker sync.

    Source: Euno: dbt and Looker use case

  3. 3BI and semantic logic: Documented

    Definitions inside BI workbooks reach agents through lineage and SQL analysis.

    Source: Euno: Context for AI Agents

  4. 4Governance and access rules: Documented

    Governance rules become live labels; context is scoped by persona.

    Source: Euno blog: AlphaSense x Euno at dbt Summit

  5. 5Delivery to agents (MCP or API): Documented

    MCP server and Context API.

    Source: Euno: Context for AI Agents

A filled node means the vendor's own pages describe that hop. It does not measure how well it works.

What are Euno's key features?

  • Context for AI agents through MCP, assembled from four layers: semantic search and lineage insights, active metadata tags, usage insights, and personas (role, task and access scope).

    Source: Euno: Context for AI Agents

  • Column-level lineage from sources to BI dashboards and AI agents, including business definitions that live inside BI workbooks.

    Source: Euno: Context for AI Agents

  • Automated labeling: custom governance rules mark assets as certified, PII-free or healthy, and the labels update as the stack changes.

    Source: Euno homepage

  • Context Calibration: generates benchmark questions, checks agent answers and suggests missing rules and glossary terms.

    Source: Euno blog: AlphaSense x Euno at dbt Summit

  • dbt and Looker sync, impact analysis with CI integration, PII exposure tracking and a metadata query language (EQL).

    Source: Euno pricing

What does Euno claim?

What does Euno cost?

Priced by the data assets you manage, with unlimited users and AI agents. Three tiers: Start (up to 150K resources), Scale (up to 1.5M resources) and Enterprise (any scale), each on request. No dollar prices are published.

Entry price: Not published

Source: Euno pricing

How does Euno score on each criterion?

CriterionWeightScoreWhy
Agent access to context15%9 / 10Serves context to agents through an MCP server and a Context API (up to 500K or 1M calls by plan), scoped by persona; Claude and Cursor are named.

Source: Euno: Context for AI Agents

Cross-stack lineageHighest in set13%9 / 10Column-level lineage from sources through BI dashboards to AI agents, including business logic inside BI workbooks.

Source: Euno: Context for AI Agents

Automated context buildTied highest13%9 / 10Maps assets automatically from day one and precomputes the context graph from APIs and query logs; Euno states zero onboarding lift.

Source: Euno homepage

Governance agents can useTied highest13%9 / 10Governance rules become live labels (for example certified or PII-free) that propagate through the graph, with persona-based access to context.

Source: Euno blog: AlphaSense x Euno at dbt Summit

Business definitions and metrics12%7 / 10Extracts definitions from BI workbooks and SQL and syncs dbt with Looker; it does not offer a semantic layer of its own.

Source: Euno blog: AlphaSense x Euno at dbt Summit

Answer quality checksHighest in set8%9 / 10Context Calibration generates benchmark questions, checks agent answers and suggests missing rules and glossary terms.

Source: Euno blog: AlphaSense x Euno at dbt Summit

Integration breadthTied lowest10%5 / 10Plans cap integrations at 3, 5 or 10; the full source list could not be read.

Source: Euno pricing

Pricing transparency8%5 / 10Tiers, resource limits and a feature table are published, priced by data assets with unlimited users and agents, but no dollar prices.

Source: Euno pricing

Deployment optionsTied lowest8%4 / 10Cloud-native SaaS only, reading metadata only; no self-hosted or open-source option is described.

Source: Euno homepage

Where does it score well, and where does it fall short?

Scores well

Highest in set on: Lineage, Automation, Governance and Answer checks.

  • Lineage is documented at column level from the warehouse through dbt and BI to the agent, including logic kept inside BI workbooks.
  • Governance rules become live labels that travel with the context, so an agent can be told which assets are certified or PII-free.
  • A published loop for testing agent answers and finding missing rules and glossary terms.
  • Pricing by data assets with unlimited users and agents, so adding agents does not add seats.

Falls short

Lowest in set on: Integrations and Deployment.

  • No dollar prices are published; every tier is quoted on request.
  • SaaS only: no self-hosted or open-source edition is described.
  • Integrations are capped by plan (3, 5 or 10), and the full source list could not be read.
  • No public review-site ratings were found in our reads, and the company is young (founded 2023, nearly 30 people).

Key facts

Company
Founded 2023 by Sarah Levy (CEO) and Eyal Firstenberg (CTO); based in San Francisco and Tel Aviv with nearly 30 people. A $23M Series A led by N47 was announced on 9 September 2026, for $29M raised in total.

Source: Euno blog: Euno raises Series A

Customers named
Named on Euno's pages: AlphaSense and Zayo Group.

Source: Euno blog: Euno raises Series A

How does Euno compare head to head?

Euno alternativesBuild a shortlist with Euno

Frequently asked questions

What does Euno cost?

Priced by the data assets you manage, with unlimited users and AI agents. Three tiers: Start (up to 150K resources), Scale (up to 1.5M resources) and Enterprise (any scale), each on request. No dollar prices are published.

Does Euno have an MCP server?

Yes. Euno states it surfaces metadata-powered context to AI agents through MCP, and its Scale and Enterprise plans include Context API calls.

Can Euno be self-hosted?

Cloud-native SaaS; reads metadata only. No self-hosted or open-source edition described.