Israeli Startup Euno AI Secures $23 Million in Series A Funding
Israeli startup Euno AI has raised $23 million in a Series A round led by N47 to expand its enterprise AI context platform and double its team by the end of the year.
Israeli startup Euno AI has announced a $23 million Series A funding round led by N47, with participation from existing investor 10D, bringing its total funding to $29 million. The capital will primarily be used to expand sales and marketing teams and accelerate AI research and development.
Founded in 2023 by CEO Sarah Levy and CTO Eyal Fürstenberg—both graduates of the prestigious Talpiot program—Euno addresses a critical gap in enterprise artificial intelligence. Levy previously served as CTO at Sight Diagnostics and in senior technological roles in Unit 81. Fürstenberg headed a division in Unit 49 of Unit 8200 and later served as VP of R&D at LightCyber, which was acquired by Palo Alto Networks.
The round also saw participation from notable tech founders and executives, including Yinon Costica, co-founder of Wiz; Yotam Segev, co-founder and CEO of Cyera; Ophir Ehrlich, co-founder and CEO of Eon; Rotem Weiss, founder of Tavily; and Mark Nelson, former president and CEO of Tableau. Euno currently works with Fortune 500 companies and enterprise organizations, including AlphaSense and Zayo Group.
Live Context Graph for AI Agents
Euno’s core product is designed to provide AI agents with the organizational context needed to operate effectively on enterprise data. This includes understanding data meaning, reliability, ownership, lineage, and applicable governance rules.
«The AI models continue to improve and become cheaper and more accessible, but in the long run, the competitive advantage of organizations in AI will increasingly come from the context and experience they accumulate from how work is actually performed,» said Sarah Levy, co-founder and CEO of Euno.
At the heart of the platform is the Live Context Graph, a continuously updating graph that maps meaning, usage, data lineage, ownership, and rules surrounding corporate data. The platform analyzes patterns and connections across disparate data systems to infer organizational knowledge for AI agents, refining it continuously through feedback from agent usage.
Accelerating Enterprise AI Deployment
The platform aims to eliminate manual cataloging, semantic layers, and governance mapping, allowing organizations to move AI applications into production within weeks rather than months. Governance capabilities are embedded directly into the context infrastructure, ensuring each agent receives only the information appropriate for its role while enforcing organizational boundaries in real-time.
At Zayo Group, using Euno enabled the company to bypass traditional data cataloging setups and transition directly to an AI-driven approach without manually building complex models.
«Every organization is currently building the infrastructure that will allow AI to operate on its data, and how this infrastructure is built will determine how quickly reliable AI can be deployed at scale,» said Moshe Silberstein, partner at N47. «Demand for this type of AI infrastructure is growing rapidly, and Euno is building a platform for machines from the ground up.»
Recognized in Gartner's 2026 Coolest Vendor Innovations in Data Management report, Euno currently employs nearly 30 people across Israel and the United States and plans to double its headcount by the end of the year.
