For sales teams trying to sell infrastructure software to engineers, the buying committee is often invisible. Onfire, an Israeli startup that emerged from stealth last October with $20 million, is building a revenue intelligence platform to make that chatter legible. Its bet is that by applying entity resolution and AI to public developer interactions, it can give GTM teams a decisive timing advantage in a $5 trillion IT market [Pulse2, October 2025].
The intelligence veteran's wedge
The founders, Tal Peretz (CEO), Shahar Shavit (CTO), and Nitzan Hadar (CPO), are all veterans of Israeli intelligence units, with backgrounds in AI and entity resolution [TechCrunch, October 2025]. Onfire's platform is designed to monitor developer forums, technical communities, events, and product evaluations. It claims to map tech stack data for 91% of global companies, then uses AI to parse discussions for buying intent and integrate those signals directly into CRM workflows [Pulse2, October 2025] [Onfire.ai Blog, October 2025].
Funding and early traction signals
The $20 million in initial funding, including a $14 million Series A co-led by Grove Ventures and TLV Partners, signals strong belief from top-tier Israeli venture firms [TechCrunch, October 2025]. The company says its platform has driven more than $50 million in closed deals for clients in its first 12 months [Pulse2, October 2025]. Named early users include infrastructure and security companies like ActiveFence, Aiven, Cyera, Port, and Spectro Cloud [TechBuzz.ai, 2026]. In one case study, Spectro Cloud reportedly generated $1.65 million in new pipeline using Onfire's developer-focused intent signals [Onfire.ai Blog, 2026].
The realistic competitive set
Onfire's ideal customer profile is the sales and marketing operations leader at a B2B software or IT infrastructure company.
- Broad intent data platforms: Tools like 6sense and ZoomInfo offer wide-funnel intent based on web activity and firmographics.
- CRM-native analytics: Platforms like Gong or Clari analyze sales calls and pipeline data.
- Manual social listening: Onfire's automated AI and entity resolution promises to scale this from a sporadic project to a systematic, account-based signal.
What to watch in New York
The next twelve months will test the founders' operational intelligence. Key milestones to watch will be the landing of first enterprise reference customers with seven-figure annual contracts. The company's head of AI, Gal Bezalel, will also be critical in evolving the core signal-to-noise ratio of the platform [LinkedIn, 2026].