About Euno

Euno provides a centralized platform for data teams to visualize and manage data models across their stack, integrating with dbt to automate the synchronization of business logic from BI tools like Looker and Tableau. This approach addresses the challenge of maintaining consistent and governed data models in dynamic environments, enabling analysts to focus on business insights while ensuring reliable data governance.

```xml <problem> Data teams struggle to maintain consistent and governed data models across their entire stack, especially when business logic is created in siloed BI tools. This leads to inconsistencies, conflicts, and duplicates, hindering self-service analytics and increasing the risk of unreliable insights. The challenge is to enable analysts to work independently while ensuring that their contributions are captured and integrated into a unified, governed data model. </problem> <solution> Euno provides a centralized platform for data teams to visualize, manage, and build data models across their entire stack, automating the synchronization of business logic from BI tools like Looker and Tableau into dbt. The platform discovers business logic across the data environment, providing a unified logic catalog with end-to-end lineage and utilization metrics. It allows analysts to shift measures, dimensions, and custom tables from the BI layer to dbt, while automated guardrails detect duplicates, conflicts, and breaches of modeling principles. By enabling a reverse flow of business logic from BI tools to dbt, Euno empowers analysts to contribute to the data model evolution safely and efficiently, ensuring consistent data models at any scale. </solution> <features> - Automated business logic discovery across the data stack - End-to-end lineage tracking and utilization metrics for data models - Rapid promotion of measures, dimensions, and custom tables from BI tools to dbt - Automated detection of duplicates, conflicts, and breaches of modeling principles - Seamless integration with modern data stack components - Unified logic catalog for exploring and managing data models - Collaborative workflows for coordinating between analytics engineers and business analysts </features> <target_audience> Euno targets data teams, including data engineers, analytics engineers, and business analysts, who are looking to govern data models, enable self-service analytics, and maintain consistency across their data stack. </target_audience> ```

What does Euno do?

Where is Euno located?

Euno is based in Tel Aviv, Israel.

When was Euno founded?

Euno was founded in 2023.

How much funding has Euno raised?

Euno has raised 6250000.

Location

Tel Aviv, Israel

Founded

2023

Funding

6250000

Employees

12 employees

Major Investors

10D

Find Investable Startups and Competitors

Search thousands of startups using natural language

AI voice (2021+)underground pipe robots energy flexibility software

Start Searching

Euno

⚠️ AI-generated overview based on web search data – may contain errors, please verify information yourself! You can claim this account with your email domain to make edits.

Executive Summary

euno.ai 1K+

Crunchbase

Founded 2023 – Tel Aviv, Israel

Funding

Estimated Funding

$5M+

Major Investors

10D

Team (10+)

No team information available.

Company Description

Problem

Data teams struggle to maintain consistent and governed data models across their entire stack, especially when business logic is created in siloed BI tools. This leads to inconsistencies, conflicts, and duplicates, hindering self-service analytics and increasing the risk of unreliable insights. The challenge is to enable analysts to work independently while ensuring that their contributions are captured and integrated into a unified, governed data model.

Solution

Euno provides a centralized platform for data teams to visualize, manage, and build data models across their entire stack, automating the synchronization of business logic from BI tools like Looker and Tableau into dbt. The platform discovers business logic across the data environment, providing a unified logic catalog with end-to-end lineage and utilization metrics. It allows analysts to shift measures, dimensions, and custom tables from the BI layer to dbt, while automated guardrails detect duplicates, conflicts, and breaches of modeling principles. By enabling a reverse flow of business logic from BI tools to dbt, Euno empowers analysts to contribute to the data model evolution safely and efficiently, ensuring consistent data models at any scale.

Features

Automated business logic discovery across the data stack

End-to-end lineage tracking and utilization metrics for data models

Rapid promotion of measures, dimensions, and custom tables from BI tools to dbt

Automated detection of duplicates, conflicts, and breaches of modeling principles

Seamless integration with modern data stack components

Unified logic catalog for exploring and managing data models

Collaborative workflows for coordinating between analytics engineers and business analysts

Target Audience

Euno targets data teams, including data engineers, analytics engineers, and business analysts, who are looking to govern data models, enable self-service analytics, and maintain consistency across their data stack.