Company Overview
Snapshot
Founded in January 2023 by Sarah Levy, Euno operates with 11–50 employees. The company has raised $6.25 million across one funding round from 5 investors. In March 2024, Euno secured Seed funding, with 10D participating as a lead investor.
Business overview
Euno provides a frictionless data model governance platform designed for data teams at large and scale-up organizations. The platform offers a novel approach to dynamic data modeling, balancing data analyst freedom with rigorous data model consistency. It integrates with popular BI tools and uses automations to detect, map, and sync data model changes at scale, establishing a dbt™-first standard in data model governance. Euno's solutions are applicable across various industries, optimizing operations, enhancing decision-making, and improving customer experiences through applications like predictive analytics and automation.
Strategic signal
In March 2024, Euno successfully raised $6.25 million in Seed funding. This capital infusion, with 10D as a lead investor, validates Euno's innovative approach to data model governance and signals strong investor confidence in its potential to address critical data consistency and collaboration challenges for data teams in large organizations and scale-ups.
Log in to access full profile ›Company Intelligence Q&A
- What is Euno's primary focus?
- Euno focuses on providing a frictionless data model governance platform that enables dynamic data modeling while ensuring consistency for data teams in large and scale-up organizations.
- When was Euno founded?
- Euno was founded in January 2023.
- How much funding has Euno raised?
- Euno raised $6.25 million in Seed funding in March 2024. The lead investor in this round was 10D.
- Which investor participated in Euno's Seed funding round?
- In March 2024, Euno secured Seed funding, with 10D participating as a lead investor.
- What problem does Euno's platform solve?
- Euno's platform addresses the challenge of balancing data analyst innovation with the need for rigorous data model consistency, fostering collaboration and efficient transformation of business logic into reusable data model elements.