Israeli AI Startup Euno Raises $23 Million for Data Trust Layer

Israeli startup Euno has secured $23 million in a Series A funding round, led by N47 Ventures with participation from existing investor 10D and several tech entrepreneurs. This brings the company's total funding to $29 million since its establishment in 2023. Euno aims to build a knowledge layer for AI agents, enabling them to understand and trust the data they access within enterprise systems.

The core problem Euno addresses is that while AI agents can connect to vast amounts of organizational data, they often lack the context to determine data reliability, meaning, ownership, and appropriate usage. Traditional enterprise data systems were designed for human users who can seek clarification, but AI agents require this information to be readily available and machine-readable.

Euno's platform analyzes patterns and relationships across data systems to infer how information is actually used within an organization. It creates a continuously updated knowledge graph that maps data meaning, usage, origin, lineage, ownership, and governance rules. The system also uses feedback from AI agents to refine this knowledge layer, aiming to eliminate the need for organizations to rebuild context for every new AI application.

The company emphasizes the importance of data governance and access control for AI agents, ensuring they only access information relevant to their specific roles and tasks, similar to human employees. Euno currently works with large organizations and Fortune 500 companies across various industries, including market intelligence platform AlphaSense and telecommunications firm Zayo Group.

Founded by CEO Sarah Levy and CTO Eyal Firstenberg, both graduates of the elite Talpiot program, Euno currently employs around 30 people in Israel and the US. The company plans to double its workforce by the end of 2026, with the new funding primarily allocated to expanding sales and marketing efforts and continuing AI research and development. Levy believes that an organization's competitive advantage in AI will increasingly stem from its unique, accumulated contextual knowledge, which is difficult for rivals to replicate.