New York, NY, United States, October 28th, 2025, FinanceWire
Artificial intelligence has become the buzzword of every sales technology discussion, but measurable impact remains elusive. Amid widespread hype, Tel Aviv-based Onfire is gaining recognition for delivering tangible outcomes. The company has raised $20 million in an initial funding round co-led by Grove Ventures and TLV Partners, with participation from IN Venture and Leumi Tech by Bank Leumi.
Only one year after its beta launch, Onfire reports that its Vertical AI platform has already helped SaaS clients generate over $50 million in closed deals. The company’s results-driven focus contrasts sharply with the broader AI sales landscape, where many tools promise automation but fail to improve revenue performance.
Limited Impact of Generic AI Tools
A global survey by McKinsey & Company found that while 78 percent of companies use AI in some capacity, over 80 percent have yet to see any material gains in earnings or productivity.
The main reason is that most AI systems for sales operate without real context. They deliver incomplete or noisy intent signals, resulting in CRMs bloated with irrelevant data. Rather than empowering sellers, they often increase manual work and guesswork.
A complementary McKinsey analysis titled Beyond the Hype: Unlocking Value from the AI Revolution argues that the true potential of AI is realized only when it becomes embedded in day-to-day decision-making and tailored to specific domains. That is precisely where Onfire differentiates itself.
Building AI That Understands the IT Buyer
Founded by Tal Peretz, Shahar Shavit, and Nitzan Hadar, Onfire was born from the belief that precision—not automation—should define the future of AI in sales.
Before writing any code, the team interviewed 275 revenue leaders selling to IT buyers. What they discovered was a consistent frustration with fragmented data and ineffective intent tools. From this research, Onfire developed a model that merges third-party intelligence, such as technical community insights, vendor evaluations, and review data, with a company’s internal sales activity.
This integration creates what Onfire describes as a “living map of the IT market”—a dynamic data ecosystem that updates CRMs with real-time intelligence. It identifies true purchase intent, understands how technical buyers evaluate solutions, and surfaces the moments that drive real conversion.
Focused on the Toughest Market: IT Infrastructure
The IT infrastructure ecosystem is a notoriously difficult space to sell into. Purchase decisions often involve multiple stakeholders, long procurement cycles, and technical gatekeepers such as DevOps leaders and CIOs.
Onfire’s platform has been purpose-built for these complexities. It analyzes the tech stacks of 91 percent of global companies, uncovering subtle yet actionable patterns. Whether a company is evaluating new vendors, attending a relevant event, or adjusting its architecture, Onfire can detect the signal and inform sellers before competitors do.
The result is not just faster sales cycles but more intelligent targeting—reducing wasted outreach and improving close rates.
Backed to Build a Category-Defining Platform
For investors, Onfire’s vision of vertical AI for go-to-market teams represents the next step in enterprise sales technology.
By focusing deeply on one domain rather than spreading across industries, Onfire is building a compounding data advantage. Each new user strengthens its predictive models, leading to sharper insights and faster time-to-value for customers.
Investors say this “depth-first” approach positions Onfire as a foundational GTM intelligence layer for companies selling to IT buyers, a market estimated at $5 trillion globally.
The Road Ahead: Turning Precision into Scale
Scaling any AI solution beyond the pilot phase remains a major challenge. Studies indicate that up to 95 percent of AI projects never reach full deployment across an organization.
For Onfire, success will depend on proving that its vertical model can deliver repeatable ROI across large customer bases while maintaining its data integrity and precision standards. If it achieves that balance, it could redefine how revenue teams approach AI adoption altogether.
The Future of Sales AI Is Context-Aware
The next chapter of sales AI will not be defined by scale or automation but by context and clarity. Onfire is showing that by embedding vertical intelligence into every stage of the sales process, AI can finally move from theoretical promise to measurable performance.
For an industry still struggling to extract value from data, Onfire’s rise signals a turning point. The future of AI for revenue teams is not about generating more leads; it is about knowing exactly which ones matter.
About Onfire
Onfire is an AI-driven platform designed to empower sales teams selling to technology buyers. It leverages advanced machine learning to process vast amounts of external data, including product reviews, technical forums, and vendor assessments, and merges these insights with a company’s internal sales data. This fusion allows teams to identify genuine buying intent, decode decision-making patterns, and prioritize high-impact opportunities. Continuously learning and syncing with CRM systems, Onfire delivers a dynamic, ever-evolving view of the market that helps sales teams stay ahead of the curve.