· Investment Strategies · 2 sources
Euno’s $23M Series A: N47 and Cyber Founders Back the Enterprise Context Brain
Israeli-American Euno raised $23M Series A led by N47 on Sep 9, 2026 ($29M total) so Fortune 500 AI agents stop being “stupid” about which data to trust — with Wiz, Cyera, and Eon founders on the cap table.
Editorial team
Euno closed a $23 million Series A on September 9, 2026, led by N47, with existing investor 10D and a founder syndicate including Wiz co-founder Yinon Costica/Kostika, Cyera CEO Yotam Segev, Eon CEO Ofir Ehrlich, Tavily founder Rotem Weiss, and former Tableau CEO Mark Nelson (company / CTech). Total raised: $29 million. Valuation was not disclosed.
Spine: Frontier models are getting cheaper. Enterprises still cannot put agents into production because the agents do not know what corporate data means — Euno sells that missing brain.
Key facts
- Round
- $23M Series A ($29M total)
- Lead
- N47 (GP Moshe Zilberstein quoted)
- Founders
- Sarah Levy (CEO), Eyal Firstenberg (CTO) — Talpiot
- Headcount
- ~30 US/Israel; plans to double by year-end (company)
- Named customers
- AlphaSense, Zayo Group
- Recognition
- Gartner Coolest Vendor Innovations in Data Management (2026, company)
Who uses the product — and for what job
Users: data / AI governance / platform teams at large enterprises who own catalogs, semantic layers, and the fear of what an agent will touch.
Job: infer institutional knowledge from evolving metadata graphs → give each agent the slice of trusted context its task needs → enforce governance boundaries in real time → learn from agent feedback loops.
Zayo’s Will Mitchell (quoted in Euno’s post) said the product let them leapfrog building a traditional data catalog. Treat ROI anecdotes as customer marketing until independently audited.
Why now
- Pilots die when agents hallucinate against wrong tables or overreach permissions.
- Manual “AI-ready data” projects take months to a year; Euno pitches weeks.
- Security vendors sell fear of agent access; data teams need a deployable context+policy plane (Levy’s framing).
Why these investors — portfolio fit
N47 is underwriting AI-native infrastructure rather than a retrofit catalog — Zilberstein’s quote matches a thesis that agent impact requires scalable context, not another chatbot UI.
The angel list is the signal: Cyera-class data security founders, Wiz DNA, and Tableau leadership all sit on the same problem — what does enterprise data mean, and who may use it. That is distribution into Fortune 500 security and data buyers, not just capital.
N47 and 10D have no /fund/ pages in our directory.
Competitive map
| Approach | Tradeoff |
|---|---|
| Manual catalogs / semantic layers | Accurate when staffed; too slow for agents |
| DSPM / data security platforms | Strong on exposure; thinner on business meaning |
| Vector RAG over docs alone | Easy demos; weak governance and lineage |
| Euno context brain | AI-native inference + policy; still early category proof |
Related but different from Cymphony: Euno optimizes what agents should know; Cymphony optimizes what humans and agents can access. Many enterprises will buy both jobs.
What is not proven
- Valuation, ARR, and win rates vs. catalog incumbents.
- Whether “weeks to production” survives regulated industries.
- How much of the value is research IP vs. implementation services.
Practical takeaway
- Founders (data/AI infra): Sell production agents, not “better documentation.”
- Investors: Diligence expansion inside AlphaSense/Zayo-class accounts and founder-angel referral conversion.
- CIOs / CDOs: Relevant if AI pilots stall on trust and governance, not model quality.
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Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.