Euno’s AI context platform continuously learns how organizations build, use, and govern their data, giving AI agents the organizational intelligence they need to navigate enterprise data and act reliably. Acting as the AI brain behind enterprise data, Euno enables customers to move a wide range of AI initiatives from pilot to production in weeks.
Enterprise AI systems depend on trusted data to make decisions and take action. But agents need to understand what that data means, what to trust, how the business uses it, how they should use it, and how it connects across the organization. As enterprises move toward autonomous, cross-domain agentic workflows, they need a new foundation: context that learns with the organization, sustains trust as knowledge evolves, and gives every agent the organizational intelligence it needs to act reliably, while generating its own context feedback loops.
Euno replaces human-maintained context with a live, AI-native brain that understands how data flows, what it means, and how it is used across the organization, then learns how agents interact with that context as they reason and act across complex, multi-domain workflows. Euno gives each agent exactly the slice of context its task and decision require, while continuously encoding what it learns back into the organization’s context platform, building the foundation for a sustainable, compounding AI advantage.
“Models keep getting better and cheaper, but the long-term AI moat for enterprises will increasingly come from the accumulated record of how work gets done,” said Sarah Levy, co-founder and CEO of Euno. “Competitors may have access to the same frontier models, but they cannot easily replicate the proprietary context and experience an enterprise has accumulated through its own operations.”
At the core of Euno’s research is how to best capture institutional knowledge, including whether it can be inferred from operational signals rather than manually curated and maintained. Through its studies, Euno has found that much of what determines the data to use and trust, and how to use it, is encoded in patterns across continuously evolving metadata graphs. By analyzing these patterns, Euno can infer that knowledge, then continuously refine it through agent feedback as the organizational context evolves. These findings shaped Euno’s architecture, enabling its customers to put AI to work with their data in weeks, rather than spend a year getting AI-ready.
Building the context brain that allows agents to move into production requires more than giving them the right context. Enterprises also need to govern what context each agent is allowed to access and under what rules. Euno builds governance directly into its context infrastructure, delivering only the context each agent’s task and role require while enforcing organizational boundaries in real time.
“The teams that own enterprise data have been the ones slowing AI down, and they were right to do so because nobody could tell them what an agent would be able to reach once it was connected,” Levy said. “Security vendors sell them the fear. We hand them the ability to actually deploy and build the organizations of the future.”
“Enterprises are thirsty for impact-making AI agents. For an AI agent to move the needle, it must act on current and trusted business data – and that demands precise, scalable contextual infrastructure,” said Moshe Zilberstein, General Partner at N47. “Demand for this AI infrastructure is accelerating fast, and Euno is the only company building it AI-native instead of retrofitting a solution meant for people. Sarah and Eyal are data experts and have world-class engineering depth, which is exactly what this kind of problem demands.”
Euno was named to Gartner’s Coolest Vendor Innovations in Data Management report, which credits the company’s continuously updated enterprise context graph with giving AI systems semantic understanding of data assets. Euno works with Fortune 500 organizations and enterprises across all verticals, including the market intelligence platform AlphaSense and the global telecommunications company Zayo Group.
“After years of implementing data governance solutions at the top two telecom providers in the United States, encountering Euno was a turning point. With it, I realized we no longer needed to follow the traditional playbook and build a data catalog, but could leap ahead with an AI-driven approach,” said Will Mitchell, director of data and AI governance at Zayo. “This shift saved significant time, without needing to build complex models or manually create canonical models”
Euno was founded in 2023 by Sarah Levy and Eyal Firstenberg, both graduates of Talpiot, the Israeli military’s elite technology program. Both have deep research and science backgrounds, Levy was previously CTO at Sight Diagnostics and head of a top IDF cybersecurity department. Firstenberg, who leads the company’s San Francisco office, was a section head in Unit 8200 and then served as VP of R&D at LightCyber, which was acquired by Palo Alto Networks. The company employs nearly 30 people across the US and Israel, including a context-focused research group, and expects to double by year-end, with the funding secured in this round going primarily to sales, marketing, and AI research.
About Euno
Euno is the enterprise AI-native context platform, built for how AI agents work. Euno’s context brain continuously researches, reconstructs and defines lineage, meaning, ownership, and governance rules across the entire data and AI stack, enabling accurate and resilient results and the deployment of autonomous AI agents across the organization. By ensuring every agent receives precisely the context it needs, and nothing more, Euno enables enterprises to confidently run autonomous agents in production, while maintaining full control of trust, governance and economics. Founded in 2023, Euno is based in San Francisco and Tel Aviv and backed by N47, 10D, and leading data and security founders, and was named to Gartner’s Coolest Vendor Innovations in Data Management report in 2026. Learn more at euno.ai.
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