Photo courtesy of Tal Peretz Opinions expressed by Digital Journal contributors are their own. In the rapidly evolving era of generative AI, sales technology has become one of the most saturated and confusing areas in enterprise software. Countless tools, from AI-powered outreach bots to lead scoring widgets, flood the market promising increased meetings, conversions, and revenue, yet many fail to deliver substantial results. Enter Onfire AI, a vertical, context-driven platform that has quickly emerged as a prominent startup in sales technology. Founded and led by CEO Tal Peretz, Onfire reimagines how AI supports revenue teams, particularly those targeting technically complex markets. Instead of relying on generic CRM data supplemented by shallow signals, Onfire creates an Account Intelligence Graph™—a real-time, dynamic understanding of buyer intent, context, and behavior derived from external digital signals combined with a customer’s own sales data. A Different Kind of Sales AI Before Onfire’s official launch in 2025, many AI sales tools focused on automating processes or generating personalized outreach copy but lacked the deep, verifiable context essential for complex sales. According to McKinsey & Company, over 75% of enterprises use AI, yet about 80% report minimal improvement in core sales or productivity metrics. Peretz and co-founders Shahar Shavit (CTO) and Nitzan Hadar (CPO), who all have backgrounds in Israel’s elite intelligence unit 8200—where discerning meaningful signals is crucial—took a unique approach. Instead of merely applying AI to existing sales data, they centered vertical data analysis in their product, drawing on purpose-collected, domain-specific signals from developer forums, product reviews, technical discussion groups, and vendor evaluations. This vertical, context-first design enables Onfire to detect genuine buying intent—not proxies like page views or email opens common in traditional platforms—but actual relevant conversations and behaviors influencing IT infrastructure and software purchase decisions. This granularity appeals particularly to teams selling to DevOps leaders, CISOs, and technical procurement experts, whose buying decisions depend on deep insights beyond superficial indicators. From Stealth to Significant Traction Onfire’s growth has been rapid. Following over two years of stealth development, it publicly launched in October 2025 with a $20 million funding round co-led by Grove Ventures and TLV Partners, alongside IN Venture and LeumiTech 77.

Reports indicate $14 million of this was a Series A, intended for expanding AI capabilities, R&D, and market expansion in Israel and the U. S. Even prior to the launch, Onfire demonstrated measurable impact: early adopters such as Aiven, Spectro Cloud, Cyera, Port, and ActiveFence utilized the platform to identify signals missed by traditional tools. The company claims to have helped clients close over $50 million in deals within 12 months of beta operations—an impressive result in an industry where proving ROI is challenging. Interviews with 275 revenue leaders conducted before product development shaped Onfire’s core philosophy: sales teams desire clarity over complexity. This insight led to models designed to precisely identify who is in the market, why, and when, complementing CRM data with real-time behavioral intelligence from both public and proprietary sources. Scaling Precision in a Noisy Market What distinguishes Onfire is its focus on context rather than sheer scale. While many generative platforms overwhelm sellers with excessive data, Onfire’s vertical AI delivers actionable insights precisely when needed. Its dataset covers technographic information for 91% of global companies, enabling refined predictive and targeting strategies aligned with evolving buyer journeys. As AI adoption expands within enterprise sales tools, industry observers watch closely how vertical specialization will define the next wave of revenue technology. Analysts predict substantial growth in the AI for sales and marketing market over the coming decade, driven by solutions that yield tangible business outcomes rather than vague promises. Tal Peretz’s Blueprint for Lasting Impact Under Tal Peretz’s leadership, Onfire combines analytical precision with practical sales understanding. By prioritizing context first and building an AI platform that scales precision, Onfire occupies a unique spot in a crowded field. It exemplifies AI that goes beyond workflow automation to fundamentally reshape how revenue teams conceive buyers, intent, and opportunity. Today, Onfire is not just another new entrant but a leading example of the power achieved when data science and sales strategy converge—where intelligence forms the product’s core, not an afterthought.