Euno Raises $23 Mn in Series A Funding to Expand Enterprise AI Platform
Sep 10, 2026 | By Nguyen Minh

Israeli-based AI startup Euno has raised $23 million in Series A funding to expand its enterprise AI context platform. The latest round takes the company’s total funding to $29 million.
SUMMARY
- Euno has raised $23 million in Series A funding, bringing its total funding to $29 million.
- The Israeli AI startup is building a platform that helps AI agents understand and safely use company data.
- Euno aims to help businesses move AI agents from testing to real-world production.
The round was led by N47, with participation from existing investor 10D and several technology founders and executives including Wiz co-founder Yinon Kostika, Cyera co-founder and CEO Yotam Segev, Eon co-founder and CEO Ofir Ehrlich, Tavily founder Rotem Weiss, and former Tableau CEO and President Mark Nelson.
Euno will use the new funds mainly for sales, marketing and AI research as it works to help companies move autonomous AI agents from pilot projects into production.
“Every organization wants to be AI. Today the agents are very intelligent, but when they are in the organization they don’t know what data to trust, what data is relevant and what data to use,” Levy told media. “They are stupid when it comes to the organization’s knowledge.”
“We build a brain that connects to the models and explains to them what they are allowed to do and how. It also tells them where they are not allowed to touch and what information is confidential,” Levy said. “We use policies to enable business.”
Founded in 2023 by Sarah Levy and Eyal Firstenberg, Euno develops technology that helps AI agents work with company data. Its platform helps agents understand internal information find the data they can rely on and access information according to company rules.
Euno believes most enterprise data systems were built for people, not AI agents. Companies have traditionally used data catalogs, manually managed systems and governance rules to help employees understand and use data. However, AI agents can work across different systems, process large amounts of information and operate more independently.
Euno’s platform is designed to reduce the need for manually maintained context. It continuously learns how data moves through an organization what the data means and how it is used.
The company studies whether organizational knowledge can be understood from everyday data and operational activity instead of being manually documented. Euno analyzes patterns in changing metadata to identify which data should be used and trusted.
Euno's AI agents actually get smarter the more a company uses them. As they're put to work, the system quietly picks up on how that company's data is structured and organized which means less time spent on the tedious groundwork of preparing data before AI can even be deployed.
There is also a smart access layer implemented. Each agent only has access to the data that is relevant to its specific job and current tasks nothing more. If an agent does not need certain information to perform its work, it simply will not have access to it.
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