Uber spent its entire AI budget for 2026 in just four months. Then it capped every employee at $1,500 for AI tools.
That’s not an unusual story right now. Across Corporate America, finance teams that carefully modeled their software costs for 2026 are watching those budgets evaporate — not because of bad planning, but because nobody fully accounted for how fast AI token costs compound at scale.
Ramp did account for it. And investors just handed the New York-based spend management company $750 million to prove the bet was right.
The Series F round, announced June 4, values Ramp at $44 billion — a 38% jump from its $32 billion valuation just seven months ago, and a near-tripling from the $16 billion it commanded a year prior. The round was led by ICONIQ, GIC, and Ontario Teachers’ Pension Plan, with participation from Goldman Sachs Alternatives, D.E. Shaw, Morgan Stanley Investment Management, Generation Investment Management, Insight Partners, and BroadLight Capital. Existing investors including Founders Fund, Lightspeed Venture Partners, Thrive Capital, General Catalyst, and Coatue also joined.
With the round closed, Ramp has now raised more than $3 billion in total equity funding.
The Problem That Built the Valuation
Ramp CEO Eric Glyman summed up the moment plainly: most CFOs didn’t plan for the steep growth in AI spending and don’t have the tools to manage it.
That gap is exactly where Ramp is expanding. The company is now building out AI token spend management — a product designed to track, optimize, and control what companies spend on AI tools at the organizational level. As AI usage shifts from experimentation to operational deployment, the costs stop being line items and start being infrastructure expenses. The difference matters enormously to finance teams.
The broader numbers back up the urgency. Ramp’s total purchase volume grew approximately 170% year over year in March 2026, its fastest growth rate on record. The company reported $1 billion in annualized revenue as of June 1, serving more than 70,000 enterprise customers and processing $200 billion in annualized transaction volume. Median customers saved 50% more dollars and 32% more time in May 2026 compared with a year earlier.
From Corporate Card to Financial Operating System
Founded in 2019 by Eric Glyman, Karim Atiyeh, and Gene Lee, Ramp started as a straightforward corporate card and expense management platform. What set it apart early was its focus on savings rather than rewards — a deliberate positioning that resonated with CFOs trying to control costs rather than accumulate points.
Over the past five years, the product has expanded well beyond cards. Ramp now covers procurement, travel booking, bill payments, treasury tools, and accounting automation — what the company describes as a comprehensive financial operating system. The addition of AI token spend management takes that stack into the most urgent category in enterprise software right now.
Internally, Ramp has also been applying AI to its own operations. The company built Inspect, an internal software factory that now writes more than two-thirds of Ramp’s code. Glass, another internal tool, gives every employee a fully configurable AI interface. The effect is that Ramp is simultaneously selling AI cost management to its customers and demonstrating what AI-efficient operations look like internally.
The Competitive Landscape
Ramp’s closest competitor, Brex, was acquired by Capital One earlier this year for $5.15 billion — a result that, by contrast, underscores just how far Ramp has separated itself in terms of scale and investor conviction. Rippling, another major player in the space, has taken a different approach, bundling spend management alongside HR, IT, and payroll tools into a broader workforce platform.
The competitive dynamic has clarified around a core question: is enterprise finance a standalone category, or does it belong inside a broader people-and-operations platform? Ramp is betting on the former. Capital One’s acquisition of Brex suggests that traditional financial institutions see value in the category too — which could complicate the competitive picture depending on how aggressively Capital One integrates and expands Brex’s reach.
What Comes Next
Glyman has indicated the company is eventually eyeing a public market debut, though no timeline has been given. The Series F suggests that’s not an immediate priority — Ramp is clearly still in expansion mode, focused on international growth, product development around AI spending tools, and deepening its penetration in the enterprise segment.
The broader signal from this round is simpler: AI is creating a new category of financial problem, and the companies building infrastructure to manage that problem are becoming some of the most valuable in enterprise software.
As Glyman put it: “Finance is going through the biggest structural change since the spreadsheet. Every company needs infrastructure to navigate an AI economy.”
The investors backing this round are betting he’s right.
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