Metadata Intelligence Platform

Automated Context
for Data and AI

Data teams use Euno for lineage, discovery  and governance automations
AI agents and business teams rely on Euno’s context to deliver trusted results at scale
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Why does AI work with Euno?​

Because context is automated, not manual.
Our rule-based
label every asset
e.g., fresh, certified, PII-free, compliant — so AI knows
what to trust and what to ignore.
Our rule-based Active Metadata
Tags label every assete.g., fresh,
certified, PII-free, compliant —
so AI knows what to trust and what to ignore.
Read more

With Euno your metadata doesn’t just sit there, it drives real impact

Euno stitches together lineage, code, utilization patterns, ownership and semantics 
to enable data management and governance automations.
OPTIMIZATION PROGRAM
Declutter and cut costs​
Keep your environment clean and efficient by removing stale data products and deprecating unused resources – such as materialized models and refresh jobs, cutting costs along the way.
Line chart showing a decreasing cost trend of unused materialized DBT models from 24K in July 2024 to about 21K in January 2025.
CERTIFICATION PROGRAM​
Certify your dashboards​
Define rules based on lineage, ownership, production tags, SQL logic, and more. Identify highly used data products that violate the rules to enforce governance and get guiding steps to re-establish certification.
Table listing top used dashboards with columns for name, views, certification status, owner initials, queries, and users.
Dashboard showing 64% of dashboards are highly used certified with 1,783 out of 2,786 dashboards, and a recent increase of 12.
METRICS SOT PROGRAM​
Manage a governed semantic model​
Establish and maintain a scalable, consistent semantic model based on metrics defined in analytics tools. Identify and prioritize key terms, resolve conflicting definitions, create proposals, and more.
List of top used Tableau calculated fields showing names, categories, potential conflicts, impressions, and user counts.
Metrics breakdown bar chart comparing 417 dbt metrics with a positive change of 32 to 1,217 Tableau metrics with a negative change of 71.
Declutter and cut costs
Keep your environment clean and efficient by removing stale data products and deprecating unused resources – such as materialized models and refresh jobs, cutting costs along the way.
Certify your dashboards
Define rules based on lineage, ownership, production tags, SQL logic, and more. Identify highly used data products that violate the rules to enforce governance and get guiding steps to re-establish certification.
Manage a governed semantic model
Establish and maintain a scalable, consistent semantic model based on metrics defined in analytics tools. Identify and prioritize key terms, resolve conflicting definitions, create proposals, and more.

Not just another chatbot.
A metadata expert on-demand

Have a question? Ask EQL! 
Dive deep with our AI-first metadata intelligence. Ask complex questions about 
usage patterns, lineage, metric calculations, dependencies and more- all in natural language.
Find dashboards that are highly used and only query dbt models upstream
type~"dashboard" and usage ="high" and  only has upstream(type~"dbt")
Learn more
Caring logo customer of Euno
Let analysts do their things, in their own environment, but capture their contributions in dbt™  as much as possible.
Tom Abraham
Manager Data & Analytics at
Caring.com
Euno enables analysts and engineers to easily sync dbt and Looker, ensuring a consistent source of truth across data and BI layers
Silja Märdla
Senior Analytics Engineer at
Bolt
We should enable analysts of all technical levels to confidently implement significant business logic changes, regardless of their proficiency in dbt™  or other modeling technologies.
Iñigo Hernaez
Group Engineering Manager at
Vio.com
Caring customer of Euno.ai
Let analysts do their things, in their own environment, but capture their contributions in dbt™  as much as possible.
Tom Abraham
Manager Data & Analytics at
Caring.com
Euno enables analysts and engineers to easily sync dbt and Looker, ensuring a consistent source of truth across data and BI layers
Silja Märdla
Senior Analytics Engineer at
Bolt
Read more
We should enable analysts of all technical levels to confidently implement significant business logic changes, regardless of their proficiency in dbt™  or other modeling technologies.
Iñigo Hernaez
Group Engineering Manager at
Vio.com

Zero onboarding lift

Euno offers seamless integration with your modern data stack so you can transform your metadata into a powerful source of context for your teams and AI.

The Euno blog​

Everything you need to know about metadata intelligence
Data lineage in the age of AI: benefits, challenges and solutions
Blog

Data lineage in the age of AI: benefits, challenges and solutions

Jenny Salem
December 3, 2025
Data lineage is now mission-critical infrastructure, providing the crucial context for trustworthy, explainable, and compliant AI systems that transform risk into confidence.
Data lineage in the age of AI: benefits, challenges and solutions
Why AI fails and how metadata can save it
Blog

Why AI fails and how metadata can save it

Raz Widrich
November 20, 2025
Replay our webinar with lessons from teams at Shopify, Astrodata, and Tableau customers, on how metadata context unlocks agentic analytics at enterprise scale.
Why AI fails and how metadata can save it
Should we build this in Looker or dbt™?
Blog

Should we build this in Looker or dbt™?

Sarah Levy
March 18, 2024
Business logic is developed by business analysts on the front lines. Here’s how you resolve the unfinished business between Looker and dbt™️.
Should we build this in Looker or dbt™?

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