Israeli startup Euno, officially known as Delphi.io Inc., is developing an enterprise-scale data platform. The system is designed to continuously learn how organizations operate by studying how they create, use, and govern business data. This knowledge is then extracted into a context layer that autonomous AI agents can use to perform tasks reliably.
The company's approach focuses on replacing human-maintained documentation with a live, AI-native brain. By analyzing patterns across evolving metadata graphs, Euno automatically infers critical institutional knowledge from operational signals. The platform also integrates organizational governance rules to ensure agents only access necessary information for specific tasks.
According to CEO Sarah Levy, the platform can reduce the context layer preparation time for agentic deployments from up to a year to just a few weeks. The startup has already supported large enterprises such as Zayo Group Holdings Inc. and AlphaSense Inc. in accelerating their AI agent deployments.
Euno currently employs about 30 people and plans to double its workforce by the end of next year. The new funding will be used to expand the research, sales, and marketing teams.