From "accounting software" to AI financial infrastructure: Ramp raises $750 million, valuation soars to $44 billion

From "accounting software" to AI financial infrastructure: Ramp raises $750 million, valuation soars to $44 billion

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Once traditional enterprise software becomes deeply integrated with AI, its valuation logic is fundamentally rewritten.

According to Bloomberg, enterprise expense management platform Ramp has completed a $750 million funding round, pushing its valuation up to $44 billion. This round was jointly led by Iconiq Capital, Singapore’s sovereign wealth fund GIC, and the Ontario Teachers’ Pension Plan, with follow-on investments from Goldman Sachs Growth Equity, Morgan Stanley Investment Management, and Peter Thiel’s Founders Fund. With this, Ramp’s total funding has reached $3 billion.

Founded in 2019, Ramp initially focused on helping startups manage expense reimbursements, and now has expanded its business into enterprise payments, financial automation, and AI-driven fraud detection. As enterprise AI spending rapidly rises, Ramp is becoming a key beneficiary of the current wave of AI investment in payment and financial infrastructure.

This financing round fully reflects the market’s strong recognition of AI-driven enterprise financial management platforms. Over the past year, Ramp’s valuation has nearly doubled. According to sources cited in reports, the company’s current annualized revenue has surpassed $1.5 billion, compared to about $1 billion last September. The rapid growth in revenue has been the core support for its continuous revaluation.

Benefiting from the surge in AI startup customers, fully embracing AI technology itself

Ramp’s user growth has largely benefited from the AI investment boom. The company now serves about 70,000 corporate clients, an increase of 40% from 50,000 at the beginning of the year. CEO Eric Glyman stated that a significant portion of new clients comes from rapidly expanding AI startups, which need to manage soaring model calls, computing power procurement, and related payment expenses.

Glyman described the company’s recent development as an “incredible re-acceleration.” He believes that as more work is handled by AI models, the focus of enterprise spending is gradually shifting from traditional labor costs to computing power, models, and software services procurement, which will significantly expand the overall size of the payments market.

Just like its customers, Ramp itself is fully embracing AI. The company has not only set up an AI research lab and developed internal AI tools, but also promoted widespread application of AI technology among its sales, customer service, and engineering teams. In March this year, Ramp launched a new feature allowing AI agents to perform almost all operations that human users can do on the platform, including initiating corporate credit card payments.

Ramp’s management believes this is only the beginning of AI commercialization. Chief Product Officer Geoff Charles stated that in the future, transactions between businesses will gradually evolve into “agent-to-agent payments,” meaning procurement, approval, payment, and collection will all be autonomously handled by AI, with humans playing a supervisory role.

Firmly rejects acquisition, aims for IPO

With continued rapid growth, Ramp is turning its attention to the capital markets. Roy Luo, a partner at Iconiq Capital, noted that the company’s current scale and growth rate are sufficient to support a public listing. Ramp has also made it clear that compared to being acquired, it prefers an independent IPO in the future.

This choice stands in sharp contrast to its main competitor, Brex. According to Bloomberg’s earlier report, Brex was sold to Capital One Financial this year for $5.15 billion. Ramp’s current $44 billion valuation has significantly surpassed its rival.

Ramp currently has approximately 1,700 employees globally and plans to further expand its team, with a focus on hiring sales professionals, software engineers, and frontline engineers dedicated to helping enterprises deploy AI solutions, continually increasing its presence in the AI-driven enterprise services market.

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