Euno announced it raised $6.25 million in seed funding and emerged from stealth. This seed funding round was led by 10D with participation from INT3 – two leading early-stage Israeli funds investing in enterprise software. The funding round also included notable angel investors, including Barr Moses (co-founder and CEO at Monte Carlo), Lior Gavish (co-founder and CTO at Monte Carlo), and Yoni Broyde (former co-founder and CEO at Alooma). The advisory board includes Mark Nelson (Venture Partner at Madrona and former CEO and President at Tableau) and Tatsiana Maskalevich (Director of Data Science and Engineering at Netflix).
This funding round will enable the company to launch a dynamic governance solution for data teams to scale up organizations.
Euno’s soft governance approach enables business analysts to innovate freely and leverage their expertise in structured query language (SQL) and business intelligence (BI) tools for the rapid delivery of data products while also optimizing centralized modeling governance to drive consistency across an organization.
Business analysts are known to be skilled at answering business questions and enabling data-driven decisions. However, too much freedom can cause data issues, including inconsistent metrics, duplicates, and siloed logic. As organizations scale, central data teams – traditionally in charge of data governance – struggle to balance the autonomy of business analysts with the data model governance consistency.
Integrating AI-driven analytics and advanced AI features within widely used BI tools underscores the importance of data model governance. And evolving business logic – shaped by business analysts – have to be carefully coded into the data layer through swiftly governed processes. This is essential for maintaining the consistency of data models and supporting the production of trustworthy insights driven by AI.
Euno is a pivotal tool in streamlining collaboration between central data teams and analysts. And it detects newly modeled business logic within integrated BI applications like Looker and Tableau and guides users through the process of integrating these logical components into the shared data model (i.e. shift left). This includes identifying new logic and automatically generating code to capture this logic at the data layer, and synchronizing changes back to BI applications. This also ensures an aligned and central source of truth for an organization’s business logic.
At the center of Euno’s technology is a business logic discovery tool that provides data teams with automated business logic mapping across platforms. And this tool offers a unified catalog and an end-to-end lineage view of business logic for efficiently exploring and managing data model calculations, descriptions, and usage.
Euno integrates with dbt and optimizes the implementation and expansion of dbt – which is designed to meet organizations at any stage of the dbt journey whether they fully transitioned to dbt or are still managing legacy logic.
Euno was founded in 2023 by Sarah Levy and Eyal Firstenberg – tech leaders with over 40 years of combined experience in solving cutting-edge problems. Levy, co-founder and CEO, previously worked as CTO at Sight Diagnostics and Firstenberg, co-founder and CTO, previously launched LightCyber (acquired by Palo Alto Networks). Levy and Firstenberg are Israel Defense Forces (IDF) veterans. Levy previously served as the head of the cybersecurity department in the IDF and Firstenberg previously served as an officer in Unit 8200 within the Israeli Intelligence Corps.
KEY QUOTES:
“There is constant tension between enabling an analysts’ ability to explore with the need of data teams for governed and consistent data models. Euno offers the best of both worlds by enabling analysts to work in the tools they love, while promoting artifacts that analysts are already doing to a governed data layer.”
– Mark Nelson, Venture Partner at Madrona, and former CEO and President at Tableau
“Euno reduces toil with automation and unlocks business logic for data analysts and data engineers, which is a win for organizations. Not only is Euno empowering the data engineering team, but it’s also addressing the critical aspect of cross-functional collaboration with business analysts.”
– Tatsiana Maskalevich, Director of Data Science and Engineering at Netflix
“Based on conversations with more than 250 data teams, we discovered they struggle to foster a self-service data analytics culture as they scale. What surprised us was the root cause – data model governance solutions haven’t caught up with the modern data stack. Organizations deal with collaboration bottlenecks, data inconsistencies, and soaring costs. Eager to solve this problem, we’ve assembled a world-class team of engineering and data analytics professionals. Our mission is clear – to untangle the toughest knots for data teams and give peace of mind to organizations with their data governance. No matter how fast the company scales.”
– Sarah Levy, co-founder and CEO at Euno
