Euno has successfully raised $23 million in a Series A funding round, which will be used to expand its artificial intelligence context platform. The round was led by N47, with participation from existing investors, including 10D. Founders and executives from technology companies such as Wiz, Cyera, Eon, Tavily, and Tableau also participated in the financing.
With this new round, Euno's total funding has reached $29 million. The company is currently actively increasing its presence among large corporate clients. Euno was founded in 2023 by Sarah Levy and Eyad Firstenberg. The company's operations are focused in San Francisco and Tel Aviv.
The founders possess extensive experience in cybersecurity, AI, and data infrastructure. Their previous work includes roles at Sight Diagnostics, Unit 8200, and LightCyber. Euno is currently hiring around 30 employees in the United States and Israel.
Enterprise AI systems critically depend on accurate and reliable information. However, AI agents often struggle to understand how organizations actually use their data. Euno solves this problem with an AI-native context platform.
The company's technology continuously studies processes for building, using, and managing information within organizations. The company positions its platform as the 'AI brain' for enterprise data, providing agents with the necessary context to navigate complex organizational systems. Euno analyzes metadata patterns to reconstruct institutional knowledge, allowing it to identify data meaning, origin, owner, and governance rules. The platform then supplies each AI agent with the required context to perform a task, limiting unnecessary access and increasing the reliability of automated decisions.
Furthermore, the platform learns from agents' interactions with the organizational context, creating feedback loops that continuously improve the platform's understanding. The company believes this can shorten lengthy processes for preparing for AI adoption. Traditionally, corporate teams manually maintained context, relying on data catalogs, semantic layers, and governance policies. Euno argues that such systems were originally designed for humans, whereas AI agents function differently because they can move autonomously between multiple systems.
Therefore, the platform integrates governance directly into its context infrastructure. It determines what information an agent can access based on its role and task. This approach helps enterprises maintain organizational boundaries during automated workflows and gives data teams greater control over increasingly autonomous AI systems. Euno has already attracted clients from the Fortune 500 list across various industries, including AlphaSense and the telecommunications company Zayo Group.
The new capital will primarily be directed towards supporting sales, marketing, and AI research. Euno also plans to significantly expand its technical team. N47 expresses confidence that the demand for enterprise AI infrastructure is rapidly growing, considering context indispensable for agents working with business data. Additionally, Euno received recognition from Gartner, being included in the 'Coolest Vendor Innovations in Data Management' list for 2026, where its constantly updated graph of enterprise context was noted for semantic data understanding.
This recognition boosts trust, as enterprises seek more robust AI infrastructure. Euno competes in the rapidly evolving enterprise AI market, where organizations increasingly want agents capable of independently performing complex tasks. Euno potentially could make organizational context the core layer of enterprise AI infrastructure. Nevertheless, greater autonomy introduces new data and governance challenges that Euno intends to solve through a continuously learning context layer. The company now has the funding to expand its technologies and commercial reach.