Canva AI
Eyal Elbahary built a company around a frustration that most enterprise leaders recognise, but few can articulate cleanly. Revenue teams were expected to move fast, and the systems underneath them were built for something else entirely.
That tension sits at the centre of DealHub‘s story, and the frustration behind it is specific. Sales teams building quotes in one system, finance teams working in another, and legal approvals sitting in a third meant that every deal produced a version of the commercial record that did not match cleanly across the systems responsible for it. Month end reconciliation became a team sport. Post sale amendments became exercises in cross referencing records that should never have diverged.
In January 2026, Riverwood Capital led a $100M growth round valuing DealHub above $1 billion, a signal that institutional investors have reached the same conclusion Elbahary has been arguing since the company’s founding.
A Problem That Grew Louder Over Time
Elbahary spent years watching enterprise sales teams operate with remarkable skill inside systems that were fundamentally misaligned with how modern companies sell. Products had multiplied, pricing had grown more complex, and subscriptions, usage tiers, and multi-stakeholder approvals had become standard across the B2B market. The underlying commercial infrastructure had not kept pace with any of it.
The pattern he observed was consistent across industries. Sales teams built quotes in one system, finance teams worked in another, legal approvals sat in a third, and each system was technically correct on its own terms while producing a version of the commercial record that did not cleanly match the others. Month-end reconciliation became a team sport, and post-sale amendments became exercises in cross-referencing records that should never have diverged in the first place.
“The problem was never a lack of software,” Elbahary said. “The problem was that revenue teams were expected to move fast while working across systems that were never designed to think and act together.”
The Architecture Decision That Changed Everything
In 2019, the market was moving in one direction. Best of breed point solutions were winning enterprise deals, and the dominant strategy for building a revenue platform was assembling them through acquisition. Elbahary moved the other way entirely, committing DealHub to a single data model covering CPQ, Billing, and CLM at a moment when that choice looked like a constraint rather than an advantage. That bet now looks different. Salesforce has end-of-lifed its CPQ product. Conga has pursued an acquisition strategy that produces integration complexity rather than unification. Zuora took a private equity exit. The market Elbahary didn’t believe in has largely confirmed the thesis he built toward.
That decision produced measurable outcomes for the companies that adopted it. Trintech reduced quote time by 90 percent and cut annual CPQ spend by 40 percent. Zapier replaced a 100-node manual approval process and brought deal turnaround from several days down to under eight hours. Clients, including Braze, Intuit, Gong, and Tipalti, have adopted the model, representing the breadth of the enterprise market now moving toward unified commercial infrastructure. G2’s ranking of DealHub as the number one highest rated CPQ platform, with a permanent position in the Leader quadrant, reflects that customer adoption at scale.
The Subskribe acquisition in November 2025 was a strategic move that closed the last open gap in the unified data model. The Subskribe team had built Zuora’s billing engine before founding their own company, and Elbahary acquired them rather than building from scratch, a decision that reflects how he thinks about category construction. That acquisition added subscription management, consumption metering, and billing execution to the same data layer that already carried CPQ, CLM, and approvals, completing the end to end unified model the company had been building toward since inception.
Nucleus Research’s positioning of DealHub as a Leader in its CPQ Technology Value Matrix cited rapid ROI and strong usability scores, signals that align directly with the implementation speed the unified architecture makes possible.
That announcement described the combined platform as the industry’s most complete Agentic Quote-to-Revenue environment, covering every stage from configuration through final revenue recognition.
DealAgent and DealRoom as the Commercial Operating Layer
Two products now define how DealHub delivers on that architectural foundation. DealAgent™ is the agentic execution layer, designed to enforce pricing policy, route approvals within defined authority limits, identify deal risk in real time, and complete complex governance workflows that previously required manual oversight at every stage. DealRoom™ is the buyer engagement layer, a collaborative digital workspace where sellers and buyers interact across proposals, contracts, pricing, and approvals in one shared environment, with live intent signals tracking which stakeholders are active and when. Frost & Sullivan named DealHub its 2024 North America Company of the Year in CPQ, citing excellence in innovation across the full commercial process, a recognition that spans both the platform architecture and the buyer engagement layer DealRoom represents.
That distinction between AI that executes within governed commercial rules and AI that generates suggestions for humans to verify is the question every enterprise revenue team will have to answer over the next three years. DealHub’s entire architecture was built around one answer to it.
“DealRoom has redefined the B2B buyer experience by creating a single source of truth that contains everything needed to reach multi-stakeholder consensus,” Elbahary said. “It gives sellers a level of visibility into buyer engagement that disconnected tools structurally cannot provide. “
That combination has drawn recognition well beyond DealHub’s own customer base. Frost and Sullivan named the company its 2024 North America Company of the Year in the CPQ industry, citing excellence in innovation and customer impact across the full commercial process.
Why Elbahary Is Building Toward Category Leadership
For Elbahary, Agentic Revenue Execution is a leadership position rather than a label. The problem it describes, AI that executes governed commercial decisions rather than generating suggestions, existed before the phrase did. The phrase gives buyers, analysts, and investors a way to distinguish between platforms that automate revenue tasks and those that can be trusted to autonomously execute revenue decisions. That distinction is now shaping how enterprise buyers frame their requirements, how analysts segment the CPQ category, and how competitors have begun responding to the conversation DealHub started.
“Enterprise teams do not need more AI that sounds smart,” he said. “They need AI that can operate responsibly, follow policy, and help revenue move without creating risk.“
That answer is what separates the Agentic Revenue Execution argument from the broader AI conversation. The question has never been whether AI can be useful in a sales process. The question is whether it can be trusted to act, not just advise, when the outcome carries legal, financial, and commercial consequences.
That positioning also speaks directly to a broader strategic anxiety building across the enterprise software market. As companies evaluate whether to deepen their reliance on large CRM ecosystems or build a more independent commercial infrastructure, DealHub makes the case for the latter with increasing force. CRM independence, as Elbahary describes it, is about reducing the operational and financial risk that comes with building an entire revenue motion inside one vendor’s architecture, a risk that shows up most painfully when pricing models shift, new products launch, or the vendor restructures its own offering around different priorities. The story Elbahary is telling is ultimately about trust, and whether the system running your revenue can be relied upon to act correctly when the deal gets complex, and the rules need to hold.
