In the competitive world of sales technology and go-to-market (GTM) platforms, one company is gaining attention for taking AI in a new direction. Tel Aviv-based Onfire has raised $20 million in initial funding, co-led by Grove Ventures and TLV Partners, with participation from IN Venture and Leumi Tech by Bank Leumi.
The funding comes only a year after Onfire’s beta launch, marking a strong signal of investor confidence. The company’s Vertical AI platform is already credited with helping SaaS clients close over $50 million in deals by identifying real buying intent and accelerating sales cycles across the IT market.
The Problem with Today’s Sales AI
The idea that AI can streamline sales has dominated enterprise technology conversations for years. Yet the outcomes have often fallen short. A 2024 McKinsey & Company report revealed that while 78 percent of organizations use AI in at least one function, over 80 percent have not achieved meaningful earnings growth from those tools.
Most sales AI solutions rely on generic models that produce incomplete or noisy signals. CRMs end up flooded with inaccurate data, and sales teams spend more time filtering leads than closing them. The problem isn’t automation—it’s context.
Onfire’s Vertical-First Solution
Onfire’s founders, Tal Peretz, Shahar Shavit, and Nitzan Hadar, recognized early that AI must understand how specific industries make purchasing decisions. Before building the product, they spoke with hundreds of revenue leaders selling to IT buyers. The conclusion was clear: a one-size-fits-all model would never deliver precision.
Instead, Onfire combines third-party intelligence, from product reviews, technical forums, and event participation data, with a company’s internal sales context. The result is a continuously updated “map” of IT ecosystems that identifies when and why companies are evaluating new solutions.
This vertical-first approach ensures the platform reflects how IT buyers behave in the real world. It detects key purchase triggers like architecture shifts, budget cycles, or compliance events and integrates those insights directly into CRM systems.
Built for the Toughest Buyers in Tech
Onfire was purpose-built for sales teams targeting the IT infrastructure ecosystem, where decision-making is complex and multi-layered. The platform analyzes the tech stack of 91 percent of companies worldwide, enabling users to understand the landscape of potential buyers with unprecedented depth.
The system identifies real signals of buyer intent, such as changes in vendors, internal discussions about tool replacements, or participation in relevant communities. This intelligence allows sales teams to focus on high-potential prospects, reduce wasted outreach, and improve conversion speed.
Why Investors Believe It Could Redefine GTM AI
For investors, Onfire’s combination of vertical specialization and data-layer accuracy represents a clear opportunity. TLV Partners, Grove Ventures, and others are backing the company’s mission to rebuild the GTM data foundation from the ground up.
Rather than generating more sales activity, Onfire aims to generate better activity. Its focus on depth over breadth allows it to create denser networks of data and sharper predictive models that improve over time. This compounding advantage positions the company as a category creator in what it calls “Vertical AI for Revenue.”
The Challenges Ahead
Scaling precision AI in enterprise sales will not be easy. Industry research shows that up to 95 percent of AI pilots fail to transition into enterprise-wide deployment.
Onfire’s success will depend on maintaining data integrity, integrating seamlessly with existing GTM stacks, and proving measurable ROI across diverse use cases. Its vertical focus, while powerful, may also require careful expansion strategies to reach adjacent markets without diluting its core advantage.
The Next Era of Sales AI: Precision Over Volume
The next phase of AI in sales is not about scaling outreach or automating every step of the funnel. It is about precision, timing, and understanding context.
According to McKinsey’s 2025 State of AI report, companies that achieve measurable AI impact are those that redesign workflows and track AI-specific performance metrics. Onfire’s data-layer-first architecture aligns directly with that insight, promising not just automation but understanding—an intelligence engine built to reveal what truly drives IT buying decisions.
If Onfire continues on its current path, it could redefine how revenue teams use AI entirely. The company’s rise points to a future where sales technology stops guessing and starts knowing, where data is alive, and where AI finally delivers what it promised: clarity, not chaos.
About Onfire
Onfire is an AI-powered platform created to help sales teams connect more effectively with technology buyers. It analyzes large volumes of external data such as product reviews, technical conversations, and vendor ratings, then combines them with a company’s own sales information. This powerful mix helps teams detect real purchase intent, understand how decisions are made, and focus their energy on the right opportunities. Onfire also updates CRM systems automatically, giving teams a continuously improving, real-time view of their market.
