How Ramp Secured US$500m to Advance AI Finance Automation
Expense management platform Ramp has secured US$500m in funding just six weeks after its previous round, pushing its valuation to US$22.5bn as it accelerates the development of AI-powered financial automation solutions.
The latest funding round, led by ICONIQ with participation from Founders Fund and D1 Capital Partners, builds on Ramp's previous US$200m raise in June at a US$16bn valuation. The company had earlier reached a US$13bn valuation in March, demonstrating rapid growth in the fintech sector.
Ambitious AI-driven vision
CEO Eric Glyman announced the funding in a blog post, stating: "45 days ago: I said 'let the robots chase receipts, and we raised US$200m to do just that.
"Today, they're not just chasing receipts. They're filing your expenses, booking your travel, paying your invoices and closing your books. And we've raised another US$500m at a US$22.5bn valuation to pick up the pace.
"If you're reading this, you're probably trusting us to run your finances – we're saving millions of you billions of dollars and hours a year – and we're deeply grateful for your trust."
The funding announcement follows Ramp's introduction of its first AI agents three weeks ago. Major tech companies including Notion, Webflow and Quora are already utilising these AI agents for transaction review, approval and coding.
Glyman explained: "We're at a unique moment in finance where AI is transforming how businesses manage money. Over the last six years, we've built the industry's strongest engineering and design teams."
The platform's AI agents can now process PDF policies and immediately begin approving low-risk expenses, handle employee inquiries via SMS and identify exceptions requiring review.
Beta results show dramatic efficiency gains
Early beta testing shows teams performing 85% fewer manual reviews, with AI agents detecting 15 times more policy violations while processing 10,000 transactions efficiently.
Ramp users are currently achieving triple the productivity compared to two years ago, with the company targeting a 30-fold increase by 2027 through parallel AI agent operations.
Looking ahead to 2028, Glyman envisions specialized AI agents handling various financial tasks, including expense agents managing transactions automatically, treasury agents optimising cash positions and FP&A agents conducting real-time forecasting.
The latest funding will support Ramp's continued development of these AI capabilities, as the company maintains its focus on delivering increased efficiency and cost saving to its users.