Snapshot
Continue to About ↓- What it does
- Euno is a cloud SaaS platform that reads metadata and query logs from a company's data stack, continuously rebuilds a graph of column-level lineage, usage, ownership and business logic, and automatically labels which assets are trustworthy or AI-ready under the customer's governance rules.
More detail
- It then serves AI agents a scoped, persona-filtered slice of that context over MCP, SDK and API.
- Euno reads metadata only and does not query the contents of your tables.
- Best for
- Enterprise and upper-midmarket data teams whose logic spans warehouse, dbt and BI workbooks, and who are deploying AI agents against company data and need accuracy plus governance at scale.
More detail
- Also fits analytics engineering and data governance leads who already run security or observability tooling Euno can read as sources.
- Pricing
- Pricing is not published.
More detail
- Three tiers — Start (up to 150K resources), Scale (up to 1.5M resources) and Enterprise (any scale) — all include unlimited users and AI agents
- Start says "request pricing" and the other two say "book a demo." The stated model is that you pay for the data assets you manage
- Main limitation
- Small single-domain teams on one schema, where hand-built MCP servers or skills are workable.
More detail
- Also a poor fit if you want a human-browsable catalog, a maintained semantic layer, or a tool that queries and validates your actual data values.
- Record
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- Structured profile ↗
About
- Euno is a cloud SaaS platform that reads metadata and query logs from a company's data stack, continuously rebuilds a graph of column-level lineage, usage, ownership and business logic, and automatically labels which assets are trustworthy or AI-ready under the customer's governance rules.
- It then serves AI agents a scoped, persona-filtered slice of that context over MCP, SDK and API.
- Euno reads metadata only and does not query the contents of your tables.
What it helps with
- AI agents hallucinate or answer inconsistently because the same metric means different things in the warehouse and in BI
- Meaning is fragmented: a table arrives with a name and schema, while the logic that gives it meaning lives in BI workboo
- Metadata sprawls and goes stale, because AI creates new assets faster than anyone can catalog or maintain them by hand.
- PII and sensitivity policies stop at the warehouse and do not extend into business and BI layers.
- Unscoped context inflates token cost and lowers agent accuracy.
- Data catalogs and semantic layers assume humans browse and maintain them, which agents do not do.
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Automated column-level lineage | Yes | Warehouse through to BI dashboards and AI agents, with field-level impact; vendor says it is fully automated with no manual stitching. |
| Impact analysis | Yes | Maps downstream column dependencies, ranks them by usage and surfaces owners; optional CI integration can detect or block breaking changes before merge. |
| Automated labeling | Yes | Rule-based (EQL) and LLM-based classification into tags such as compliant, PII-free, healthy and AI-ready; LLM classification volumes are capped by tier. |
| Context for AI agents | Yes | Persona- and task-scoped context served at query time over MCP, SDK and API; API call volumes are capped by tier. |
| PII exposure tracking | Yes | Maps sensitive-data propagation into the business layer and tracks access and actual exposure through reports, dashboards and agents. |
| Governance workflows | Yes | Triggers alerts or actions via email, Slack, Teams or webhooks when metadata conditions are met. |
| Conversational Discovery / AI Assistant | Yes | Natural-language questions converted to EQL, including tracing discrepancies across lineage; interaction counts are capped by tier. |
| dbt to Looker sync | Yes | Generates LookML from the dbt manifest and keeps it in sync with the BI layer. |
| Queries or validates your actual data | No | Vendor states Euno reads metadata and query logs only, does not query table contents and does not affect warehouse performance. |
| Compliance certifications, uptime SLA, accuracy benchmarks | Unknown | Not stated on the pages reviewed; no independent reviews or third-party listings were found to corroborate vendor claims. |
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Evidence
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- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- euno.ai
Technical profile details
Record ID
a5161ffa-2138-4427-bbf6-0d489d73057cCanonical URLhttps://profiles.scribble.network/listing/euno-a5161ffa