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Onfire AI delivers a revenue intelligence platform for Go-To-Market teams in software infrastructure. Its Account Intelligence Graph™ synthesizes proprietary data with public engineer footprints, leveraging AI for precise insights. The platform integrates technographics, intent data to identify ideal customer profiles, understand tool adoption, and optimize GTM prioritization. An AI copilot connects CRM data and web signals for analysis.
The company emerged from stealth, co-founded by individuals like Tal Peretz, recognizing technical buyers' unique purchasing behaviors. Their founding insight centered on vertical AI mapping real-time buyer signals. This led to developing a system translating nuanced signals into quantifiable pipeline for revenue teams.
Onfire AI assists GTM teams targeting IT buyers. Its mission is to empower these teams with advanced revenue intelligence, using AI agents and automation to streamline prospect discovery and conversion. The company’s vision optimizes the sales cycle for infrastructure software, fostering strategic market penetration via understanding the technical customer journey.
Onfire AI has raised $40.0M across 2 funding rounds.
Onfire AI has raised $40.0M in total across 2 funding rounds.
Onfire AI has raised $40.0M in total across 2 funding rounds.
Onfire AI's investors include Lotan Levkowitz, Rona Segev, IN Venture, LeumiTech, Battery Ventures, Qualcomm Ventures, Red Dot Capital Partners, TLV Partners.
Onfire AI is a vertical AI platform for go-to-market (GTM) teams selling to technical buyers in sectors like data, cybersecurity, dev tools, and software infrastructure. It builds an Account Intelligence Graph™ that connects customer data with proprietary signals from 50 million engineers' public footprints—such as community activity, event attendance, and product adoption—to deliver real-time insights on high-intent prospects.[1][2][3] Onfire serves revenue teams at high-growth companies like Aiven and Ox Security, solving the problem of identifying and targeting elusive technical buyers (e.g., engineers, data leaders) with precision, reducing guesswork in outreach and boosting pipeline growth—users report over $50M in closed deals pre-launch.[1][2]
Founded in 2023 and recently raising a $20M seed round in August 2024, Onfire combines data enrichment, intent signals, martech/sales integrations, and agentic AI automation into a full-stack solution that fits seamlessly into existing CRMs without context-switching.[1][4][5]
Onfire AI was founded in 2023 by a team including a CEO Founder, CTO Founder, and CPO Founder, emerging from stealth mode with a focus on AI for revenue intelligence.[5] The idea stemmed from years of collecting and refining unique contextual data on technical buyers, addressing the gap in horizontal GTM tools that fail to capture vertical-specific signals like developer community interactions or tech stack mismatches.[1][3] Early traction was rapid: even without official launch or marketing, it secured dozens of paying customers among high-growth firms, validating its ROI through closed deals exceeding $50M and integrations proving immediate value in pinpointing "needles in haystacks" like Fortune 500 prospects.[1][2]
A pivotal moment came with the August 2024 $20M seed funding, fueling expansion of its proprietary data layer and agentic AI models built specifically for technical-buyer verticals.[4][5]
Onfire stands out in the crowded GTM AI space through vertical specialization and proprietary assets:
| Feature | Onfire | Competitors |
|---|---|---|
| Buying Signals | Real-time, developer-focused, anonymous ID | Not available or inaccurate[2] |
| Agentic AI | Proprietary, full-context (internal + external) | Basic automations[2] |
| Data Accuracy | Vertical-specific, 91% technographics | Horizontal, siloed[1][3] |
Onfire rides the agentic AI wave tailored to B2B GTM, where technical buyers—engineers and data leaders—infrastructure software markets demand hyper-precise targeting amid lengthening sales cycles.[1][3] Timing is ideal: post-2023 AI boom, with exploding developer data from open web sources (Slack, conferences, OSS), enabling vertical solutions that horizontal tools like generic intent data can't match.[2] Market forces favoring Onfire include rising demand for "evidence-backed" sales in cybersecurity/dev tools (multi-billion TAMs) and CRM data silos begging for AI unification—its $20M seed amid 2024 funding crunch signals investor bets on data+AI combos.[4][5]
It influences the ecosystem by pioneering vertical AI for GTM, wiring "reality" data to refine models via outcomes, potentially setting standards for buyer intelligence in tech sales.[3]
Onfire is poised to dominate vertical GTM AI, scaling its data graph and agentic capabilities post-$20M seed to capture more of the technical-buyer market. Trends like multimodal AI signals (e.g., richer community/event data) and deeper CRM autonomy will accelerate its growth, evolving it from enrichment tool to full revenue orchestration platform. Expect partnerships with sales giants and expansion into adjacent verticals, amplifying its role as the precision engine for tech sales—transforming how teams "find, reach, and sell" in an AI-native world.[1][4]
Onfire AI has raised $40.0M across 2 funding rounds. Most recently, it raised $20.0M Onfire - Series A in October 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Oct 27, 2025 | $20M Series A | Lotan Levkowitz, Rona Segev | IN Venture, Leumitech | Announced |
| Oct 1, 2025 | $20M Seed | — | Battery Ventures, Qualcomm Ventures, RED DOT Capital Partners, TLV Partners | Announced |
