1. i joined @tryramp last november to work on ai
2. we’re building Penny — an agent for the finance work that lives across spreadsheets, inboxes, and late-night tabs
we’re looking for a few design partners to shape what it becomes. sign up to build together. (link in reply)
Holy crap! @tryramp just raised $750M at a $44B valuation. 🤯
That's about 8.5x what Capital One paid to buy Brex two months ago.
Ramp says the new capital raise, led by ICONIC and GIC, to build the cost infrastructure for AI. The big picture the investors are buying is that there's a structural change to the economy coming.
We used to talk about
1. Capital - funding for businesses
2. Labor - people
The third, new one is intelligence. Intelligence comes with a token supply chain and that is paid for next to the existing vendors a business manages.
And there is a cost problem. Uber burned through their entire annual AI token budget in four months.
The Ramp product is rapidly shifting to address this with features such as token spend management, procurement agents, accounting agents, and a deeper Visa tie-up that lets AI agents make corporate payments on their own.
And on pure fundementals Ramp is crushing.
Purchase volume grew ~170% year on year in March, the fastest in three years, at roughly 20x the size they were 3 years ago. Woof.
And the contrast with Brex is noteworthy. Brex created this category. The original "Amex for startups." Capital One bought the whole company in April for $5.15B, a steep markdown from Brex's $12.3B peak.
Ramp, founded a full two years after Brex, just got priced at roughly 3.5x Brex's best-ever number. S
The difference is boring and brutal: Ramp went cash-flow positive and kept compounding. It was worth $13B in March last year and $44B now.
We got the Jeb bump! Now it's official
Gonna take 5 min to celebrate. Not the valuation, but the fact that we are now now saving over 70,000 businesses time and money.
Our product is ripping, the brand is ascendant, and finance teams all over the world are trusting Ramp to the work for them so they can focus on their highest order work.
OK back to building so we can deliver for the next 70k business out there that will join Ramp in the next year.
BTW if you want to get on Ramp or work here or just vibecode with me. HMU. DMs are open.
The lesson we've learned time and time again while building agentic products: there's no substitute for deeply, deeply understanding the job.
Great read from @ryanlstevens12 and team about how they built Ramp Stack. Before the team wrote a single line of harness code, they talked to accountants, drew out the actual workflows, added every decision point, edge case, and judgement call where two smart humans would disagree or do something differently. That set of evals became our benchmark.
Agents are unreasonably effective when you give them a verifiable goal. The benchmark comes through understanding the job. Understanding the job comes from watching accountants work.
With this foundation, we built and rebuilt our harness. We learned that 2/3rds of skills were actually hurting performance. We identified where we were overfitting on period-specific data points. Our benchmark lets us compound 1% improvements on decisions that would otherwise have been vibes-based.
Month end close will never be the same 🚀🚀🚀
https://t.co/1lrqCVYYvK
Ramp has launched Stack a "Harvey for Accountants"
An AI operating system that codes transactions, posts journal entries and runs the close, sitting inside the firm's data instead of bolted on top.
To me it looks like Claude Cowork, fine-tuned for accountants.
Watch the demo: building client plans, categorizing spend by tax code, working through complex amortization.
All of that still posts to QuickBooks. The ledger stays the system of record. What moves to @tryramp is the work: the judgment, the categorization, the close.
The race to put AI inside accounting firms is already crowded. Basis raised $100M at a $1.15B valuation last month. Black Ore is rolling Tax Autopilot out to thousands of firms. Both spent years building for this exact buyer.
Ramp shows up late on product and years ahead on distribution because those accountants had been channel partners in the past. It puts the market TAM at $150bn.
92 of the top 100 CPA firms already have clients running on Ramp. Basis, for contrast, says it works with about 30% of the top 25. The standalone players are still knocking on doors Ramp walked through a while ago.
I never bet against the innovators. But when the incumbent is Ramp, that's a much harder call.
And the way in is almost too clean. The accounting partner program was a referral engine: recommend Ramp to your clients, collect the payout. Now Ramp sells to the firm itself. The channel becomes the customer, and firms staring down a 20-year low in accounting graduates are in no position to say no.
QuickBooks keeps the books.
Ramp takes the work.
Stack - the AI operating system that learns your accounting firm's routine work, then autonomously runs it. Reconciliations, journal entries, transaction coding, the whole close. Build it once, run it forever.
Introducing Stack.
The AI operating system that lets accounting firms take on more clients without hiring. Learns your firm's process, runs the close, posts the journals. Fully auditable.
We’re living through the biggest shift in accounting since the spreadsheet.
@nickabouzeid@RivetTax@tryramp Just let him know, when he gets an SMS asking for the reciept, he can just reply back with “Oops” to trigger the repayment flow.
Oops. Out of policy. Get it?
Just having a little fun around here.
Between us having built this at @tryramp with Inspect, and watching other great companies like @WorkOS, @stripe and @Shopify build this, some clear takeaways are emerging:
1. AI adoption multiplies exponentially when it’s done in public. If you work with tooling that keeps learnings private, you’re doing a disservice to your entire business. When every knowledge role is rebuilding how it works, you need everyone to contribute to the corpus of knowledge by default.
2. Bespoke tooling that’s shaped to your business is easier than ever to build. Losing time trying to shape your processes around other products isn’t a trade off you have to make anymore. Choose platforms that will let you stay flexible to build what works for you and your business.
3. Cultures of experimentation are more important than ever with AI. We are still so early. Shape your business to take big bets, and cut losses early. Whether this be for internal efforts like these, or the product you ship, now’s not the time to be risk adverse. It’s a far greater risk to think that anyone has won the game.