Onfire Raises $20M to Bring Real Purchase Signals Into B2B Sales
Israeli startup Onfire came out of stealth with $20 million to help B2B sales teams reach technical buyers with better timing and context. The platform pulls public signals from developer forums and combines them with AI to flag purchase readiness, map decision-makers, and align outreach with budget cycles.
The $14 million Series A was led by Grove Ventures and TLV Partners, with IN Venture (Sumitomo Corporation) and LeumiTech77 joining. Founders Tal Peretz (CEO), Shahar Shavit (CTO), and Nitzan Hada (CPO) are Unit 8200 alumni who moved from defense intelligence to SaaS with a focus on data, AI, and sales execution.
What this means for sales leaders
- Prioritize accounts by live developer intent-reach out when the project heat is real, not guessed.
- Identify champions and decision-makers early to avoid stakeholder blind spots late in cycle.
- Time campaigns with budget windows to cut "great call, wrong quarter" moments.
- Adjust messaging by vertical (infrastructure software vs. cybersecurity) to skip generic talk tracks.
- Shorten discovery-enter calls with context on tools, pain points, and team structure.
Why investors care
According to Lotan Levkovitz, the gap in many go-to-market motions is simple: teams still don't treat data as the core of outreach. Backing from Grove Ventures signals demand for a new data layer that supports GTM teams in infrastructure software and adjacent markets.
How Onfire differentiates
Onfire started as a data-first company and added an AI engine on top-Peretz points to that sequence as the edge. The platform positions itself vertically, changing how signals are presented depending on whether you sell to data teams or security teams. With each new customer, the data set deepens, which should improve signal quality and coverage over time.
Team and market footprint
The main AI system is built in Israel, where over 60% of the team sits. The go-to-market engine operates from New York, with the United States slated as a key market.
What's next
Onfire plans to showcase its data+AI approach for infrastructure software, cybersecurity, and related fields at an event in San Francisco on October 27-29, 2025. If you sell into technical buyers, put that week on your radar.
Practical next steps for your org
- Audit your current intent stack: what signals actually change rep behavior?
- Define trigger conditions by ICP (tools used, hiring, repo activity, security incidents) and map them to plays.
- Pilot a data+AI signal source with one vertical first; connect it to CRM fields and your outbound sequences.
- Align RevOps to enforce signal-driven routing, SLAs, and attribution so wins don't vanish into "other."
- Train reps to read technical signals and ask better questions early-less "tell me about your stack," more "I saw X, did Y break Z?"
Key details at a glance
- Total funding: $20M (Series A: $14M)
- Lead investors: Grove Ventures, TLV Partners; participants: IN Venture (Sumitomo), LeumiTech77
- Founders: Tal Peretz (CEO), Shahar Shavit (CTO), Nitzan Hada (CPO)
- Focus: Data-driven signals for B2B sales to developers and technical teams
- HQ ops: AI development in Israel; GTM based in New York
Questions to ask any signals vendor
- Which public sources do you use, and how often are signals refreshed?
- How are decision-maker roles inferred and validated?
- What budget-cycle cues are tracked, and how are they exposed in CRM?
- What verticals have the strongest signal coverage today?
- How do you measure lift on conversion, cycle time, and ACV?
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