Israeli Startup Euno Develops "AI Context Brain" for Corporate Agents
Israeli startup Euno has developed a platform designed to address a key challenge in deploying autonomous AI agents within large organizations: enabling them to understand not just the content of corporate databases, but also the meaning, origin, reliability, ownership, and usage rules of that information. Current AI agents can access vast amounts of data but often lack the context to discern official revenue figures, explain discrepancies between similar data columns, or know which data is permissible for specific tasks.
Euno's solution automatically maps an organization's data infrastructure, creating a continuously updated layer of context it calls an "AI context brain." This system analyzes metadata and interconnections between data sources to reconstruct data lineage, meaning, ownership, and governance rules. Subsequently, each AI agent is provided with only the relevant context for its specific function. New information generated during operations is fed back into the system, allowing the "corporate brain" to learn from real-world data usage within the organization.
According to Euno, this approach allows major clients to transition from AI experimentation to industrial deployment in weeks, a process that previously took months of manual data cataloging. The company was founded in 2023 by Talpiot program alumni Sara Levi and Eyal Firstenberg. Levi previously served as CTO of Sight Diagnostics and led a cyber unit in the IDF, while Firstenberg was a section leader in Unit 8200 and VP R&D at LightCyber.
Euno, which operates in Tel Aviv and San Francisco and has about 30 employees, announced last week it had raised $23 million in a Series A funding round led by N47. The round included investments from the founders of Wiz, Cyera, Eon, and Tavily, as well as former Tableau CEO Mark Nelson. This brings Euno's total funding to $29 million.
