For sales teams trying to sell infrastructure software to engineers, the buying committee is often invisible. Budgets are opaque, and the real evaluation happens in places a CRM can't see: on a GitHub discussion, in a Hacker News thread, or during a conference hallway chat. 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]. That pedigree is the core of their product thesis. Instead of relying on firmographic data or broad intent signals, 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]. The goal is to tell a sales rep not just that a company uses a competing tool, but that its engineers are actively complaining about its scaling limits on Reddit this week.
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 capital is earmarked for AI R&D and a US go-to-market expansion, with a GTM team being built in New York while 60% of the team remains in Israel. For proof of concept, Onfire points to early results: 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].
| Founder | Role | Background |
|---|---|---|
| Tal Peretz | CEO | Intelligence veteran, AI & entity resolution expertise [TechCrunch, October 2025]. |
| Shahar Shavit | CTO | Intelligence veteran, AI & entity resolution expertise [TechCrunch, October 2025]. |
| Nitzan Hadar | CPO | Intelligence veteran, background in data analysis, mining, and AI [StartupHub.ai, 2026]. |
The realistic competitive set
Onfire's ideal customer profile is clear: the sales and marketing operations leader at a B2B software or IT infrastructure company, particularly one selling to technical buyers like developers, data engineers, or security leaders. For this ICP, the competitive landscape isn't a single head-to-head replacement. It's a layered set of tools they might already use or consider.
- Broad intent data platforms. Tools like 6sense and ZoomInfo offer wide-funnel intent based on web activity and firmographics. Onfire's differentiation is vertical depth, arguing that generic signals miss the nuance of technical evaluation in developer communities.
- CRM-native analytics. Platforms like Gong or Clari analyze sales calls and pipeline data. Onfire operates upstream, aiming to feed higher-quality, externally-sourced leads into that CRM pipeline in the first place.
- Manual social listening. Many marketing teams already monitor forums like Stack Overflow or Dev.to. Onfire's automated AI and entity resolution promises to scale this from a sporadic project to a systematic, account-based signal.
The risk for Onfire is that it becomes a nice-to-have data overlay rather than a must-have system of record. Its success hinges on proving that its signals are not just interesting, but actionable and reliable enough to directly influence quota-carrying reps' daily workflows and close rates.
What to watch in New York
The next twelve months will test the founders' operational intelligence as much as their AI. Building a sales motion in the competitive US market from a New York beachhead is a distinct challenge from product development in Israel. Key milestones to watch will be the landing of first enterprise reference customers with seven-figure annual contracts, and the publication of more detailed case studies that move beyond total influenced deal volume to show specific conversion lifts and sales cycle compression. 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]. If Onfire can cross the chasm from a promising data source to a proven pipeline engine, it will have carved out a defensible niche in the crowded revenue tech stack.
Sources
- [TechCrunch, October 2025] Israeli intelligence vets raise $20M to track developer buying signals | https://techcrunch.com/2025/10/27/israeli-intelligence-vets-raise-20m-to-track-developer-buying-signals/
- [Pulse2, October 2025] Onfire: $20 Million Raised To Build Vertical AI Platform For IT Revenue Teams | https://pulse2.com/onfire-20-million/
- [Onfire.ai Blog, October 2025] Introducing Onfire: New Vertical AI for Revenue Teams | https://onfire.ai/blog
- [TechBuzz.ai, 2026] Israeli Intelligence Vets Raise $20M for AI Sales Platform | https://www.techbuzz.ai/articles/israeli-intelligence-vets-raise-20m-for-ai-sales-platform
- [StartupHub.ai, 2026] Nitzan Hadar | StartupHub.ai | https://www.startuphub.ai/people/nitzan-hadar/
- [LinkedIn, 2026] Gal Bezalel - Head of AI @ Onfire AI | https://il.linkedin.com/in/gal-bezalel-800148145