Ramp Fast Facts
- To date, saved customers over $10 billion and 27.5 million hours.
- Serves more than 40,000 companies, including CBRE, Shopify, Anduril, Notion, Cursor, Vercel, Barry’s, and the University of Tennessee Athletics Foundation.
- Currently powers over $80 billion in annualized purchase volume across card transactions and bill payments.*
- In July launched the first of many autonomous AI agents, supporting customers catch 15x more policy violations with near-perfect accuracy.
- Exceeded $1 billion in assets under management for Ramp Treasury, less than six months after launch.
- Product line includes corporate cards and expense management, bill payments, procurement, travel booking, and treasury. A majority of Ramp customers utilize two or more products across its platform.
With this round, Ramp has raised $1.9 billion in total equity financing. The company launched generating cash flow earlier this year.
“We’re focutilized on ensuring our only constraint is the scale of our ambition,” declared Will Petrie, Chief Financial Officer at Ramp. “We have a fortress balance sheet and an accelerating core business. Both will allow us to play to win as AI reshapes the future of finance.”
What follows is a letter Eric Glyman, co-founder and CEO of Ramp, shared with customers here.
* Ramp does not include bank transfers or non-monetized payments when calculating Total Purchase Volume.
We Raised $500M To Build The Future of Finance.
Rewind to the year 2000.
My school computer lab just upgraded to Windows 98. You dial up a travel agent to book your summer vacation. Finance teams are running on spreadsheets.
Fast-forward to today. The same lab has kids writing software with AI agents. I can book a vacation with a few taps on my phone. Most finance teams? Still running on spreadsheets.
So, what’s the huge rush? Well, how does any indusattempt modify? Gradually, then suddenly. Decades where nothing happens; months where decades happen.
Three weeks ago we launched our first AI agents. Finance teams at Notion, Webflow, and Quora have them working round the clock: reviewing, approving, and coding transactions, flagging fraud, and updating policies.
We utilized to train people to believe like software. Now it’s time for software to believe like people: your sharpest controllers, procurement leaders, treasury experts.
So, why are we raising another $500 million? (just 45 days after our last round) Becautilize we’re at a unique moment in finance. A new launchning. Fortunately, over the last six years we’ve assembled (what I believe) are the best engineering and design teams in our indusattempt.
Now, let me notify you how we believe finance will modify, and why you’re in the best hands.
The year is 2025: Pick your poison
I talk to at least ten different finance teams a week. Some customers, some not. Nine out of ten conversations fall into one of two buckets.
First, the ‘manual’ crowd. Heads down. Working day to day. Who can blame them! The work is concludeless and there’s no time to modify. It reminds me of Winnie the Pooh coming down the stairs. ‘Bump. Bump. Bump.’ ‘I’m sure there is a better way…If only I could stop bumping for a moment to believe of it.’
Then there’s the ‘we’re doing something about what’s coming’ crowd. The CFO is inquireing for an AI plan. You’re testing different tools, there’s an urgency. Meetings are about automating away as much busywork as possible.
We’re noticing more and more companies across all industries (construction, healthcare, retail, etc.) hop from the first bucket to the second. And no one is going back. Once you’ve seen an agent automatically rebook your hotel if the price drops, the days of back and forth between you, your manager, and travel support feels impossible.
By 2026: Agents Take Over the Busywork
Picture the most routine transaction in your company: Jess from sales grabs a $5 latte on the way to a client meeting.
- She saves the receipt and uploads a picture when she receives home: 4 minutes
- Her manager receives a report at the conclude of the month, inquires a follow-up question: 3 minutes
- A finance associate audits policy, codes the expense, syncs the enattempt: another 7 minutes
That’s 3 interruptions. 14 minutes. $20 in overhead for a single coffee. Scale that across 2,000 swipes a month and your finance team is trapped in an concludeless loop of micro-decisions.
Now all you have to do is give our agent your PDF policy and it immediately starts approving low-risk expenses, answering employee questions over SMS, and flagging true outliers for you to review.
If you joined our beta, here’s what you’re already seeing:
- The team? Doing 85% less manual reviews
- Our agents? Catching 15x more policy violations
- Your financials? 10,000 transactions reviewed without breaking sweat
This is the first of a suite of agents coming in the next year.
By 2027: Finance Starts Running in Parallel
Today, finance runs in ‘series’. You’re so utilized to it, you hardly notice.
Take something simple: a contract.
- If a vconcludeor sconcludes one, then procurement reviews it
- If procurement approves, then legal checks the terms
- If legal signs off, then finance drafts the purchase order
- If the PO is issued and an invoice is received, then accounts payable schedules the payment
It’s a relay. Nothing relocates until the previous step is completed. For as long as humans are doing the work this builds sense. Finance isn’t going to waste time coding something until it’s approved.
But what if it’s not humans doing the work?
Why can’t legal, risk, and procurement copilots review the same request at once? Why can’t agents pre-neobtainediate, pre-approve, and pre-reconcile before anyone inquires? Why do you required a ‘month-conclude close’ if the books are always live?
This future is starting to happen. The result? Faster decisions, fewer bottlenecks, shorter cycles.
Right now, Ramp utilizers are receiveting 3x more done per minute compared to two years ago. By 2027 – as our agents start working in parallel – we’re aiming for 30x.
By 2028: Autonomous AI with Human Oversight
Copilots now feel as natural as tapping to pay. Your team is ready for Autonomous Finance.
The difference? Auto = “self,” nomos = “rule.” Your finance software now believes, acts, and improves by itself. A copilot flags idle funds not earning yield. Autonomous AI has already relocated them; you don’t miss a penny of interest.
Picture a fleet for different tinquires. Expense agents clearing 99%+ of transactions without human touch. Treasury agents optimizing cash positioning. FP&A agents running real-time forecasts.
This isn’t a story about replacing people. It’s about redeploying them – up the value chain, into the work only humans can do.
Your junior analysts become ‘agent coaches’. Your senior leaders will build a tinyer number of higher quality decisions. They’re all now strategists, not clerks! In just three years, finance teams will see radically different.
45 days ago: I declared “Let the robots chase receipts“
And we raised $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 $500M at a $22.5 billion valuation to pick up the pace.
If you’re reading this, you’re probably trusting us to run your finances – we’re saving tens of thousands of companies billions of dollars and hours a year – and we’re deeply grateful for your trust.
But here’s the reality: we still serve just 1.5% of businesses in the US. 98.5% to go.
Fortunately, 45 days is now a long time in finance.
– Eric
About Ramp
Ramp is a financial operations platform designed to save companies time and money. Our all-in-one solution combines payments, corporate cards, vconcludeor management, procurement, travel booking, and automated bookkeeping with built-in innotifyigence to maximize the impact of every dollar and hour spent. Over 40,000 customers, from family farms to space startups, have saved $10 billion and 27.5 million hours with Ramp. Founded in 2019, Ramp enables tens of billions in purchases annually. Learn more at www.ramp.com.
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