SUMMARY
- Euno raised $23M in Series A funding.
- Funds will support sales, marketing, and AI research.
- Euno builds AI context tools for enterprises.
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Follow usEuno, a San Francisco, CA-based provider of an enterprise AI-native context platform, has raised $23 million in a Series A funding round led by N47, bringing the total amount to $29 million.
The round also saw participation from 10D, Yinon Kostika, Yotam Segev, Ofir Ehrlich, Rotem Weiss, and Mark Nelson.
The company will use the funding to expand sales and marketing and advance its AI research as it develops its enterprise AI-native context platform.
Funding Snapshot
| Metric | Details |
|---|---|
| Fundraise Amount | $23 million |
| Total Funding | $29 million |
| Valuation | Not disclosed |
| Company | Euno |
| Sector | Enterprise AI / Data Infrastructure |
| Headquarters | San Francisco, California, USA & Tel Aviv, Israel |
| Lead Investor | N47 |
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About Euno
Founded in 2023, by Sarah Levy and Eyal Firstenberg, Euno is an enterprise AI native context platform designed to help AI agents understand, and work with organizational data. Its platform continuously learns how organizations build, use and govern their data, providing agents with the context they need to navigate enterprise data and act reliably.
Read More:California-Based Lightfield Raises $47M in Series A Funding
Euno aims to help enterprises move AI initiatives from pilot to production by providing organizational intelligence, context and governance through a unified platform.
Core offerings include:
- AI-native context platform
- Organizational data intelligence
- Data lineage and meaning
- AI-agent context management
- Context governance
Core Technologies / Products / Services
| Capability/Product | Application/Use Case |
|---|---|
| Context Brain | Gives AI agents organizational intelligence |
| Data Context | Helps agents understand what enterprise data means and how it is used |
| Metadata Graphs | Helps infer institutional knowledge from operational signals |
| Agent Feedback Loops | Continuously refines organizational context |
Leadership Comments
"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."
"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.
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