A great product story should feel like the product. For Infinity Home Services, that meant showing a miniature construction site being assembled piece by piece - precise, tactile, a little surreal, and meticulous. Behind the visual: 200+ field purchases a day automatically coded to the right jobs, plus 90+ hours of AP work automated through Ramp Bill Pay. The details matter in construction. They matter in the work, too. The standard we’re chasing at @tryramp: genuinely useful work, made with care.

We move billions through infrastructure secured by open-source code: Linux, the cryptography behind financial transactions, all of it hardened by decades of public review. The most trusted software isn’t the most secret.

ramp web services 🤔 more seriously, you could hire an olympic sprinter to walk your dog. it'd go great. it'd also be overkill. but that's basically how most companies run ai right now. a frontier model on every task, including the ones a model a fraction of the price would nail our obsession is helping companies get more done with fewer dollars and hours, so we built ramp router to fix this for ourselves. it tests every new model on real work, then routes each request to the cheapest one that clears the bar. routing's just the start, it's making 100+ calls per request on what to cache, when to batch, when to reach for something stronger output is same or better but already cutting costs by 30%+. the alpha group is run-rating 2.75T tokens/month, at 99.99% uptime. excited to open this up more. lots of founders asked about this after last week. we're onboarding companies a few at a time, drop your info on the link below from @vral, @rahulgs, and the @RampLabs team and we'll reach out asap, we'd love to work hard to cut your costs and help you ship the way ramp does

AI is extremely good at spending your money very quietly. our own token spend went from a rounding error to more than 10% of payroll in a year. one week in May we burned through $1.5 m. our CFO didn't love telling me that number, and he really didn't love telling the internet. but every finance leader we talk to is living the same story. the bill keeps going up and teams can't answer basic questions about it. which team is driving it? which models they're using? what changed this month? whether a cheaper model would do the same job? so finance gets two bad options: keep paying and hope, or cut broadly and slow down the work that's actually compounding. we built a third one. Ramp now connects to OpenAI, Anthropic, Gemini, Cursor and pulls it all into one place. see it, understand it, control it - down to a single API key. built with 1,000+ companies managing 100T+ tokens a month, and now spending less than they expected too! try it today at

Today @karimatiyeh and I are both taking new titles as Co-CEOs of @tryramp. If you know us, this won't feel like a change. From when we first started building together twelve years ago, our partnership has run on a couple of motivating principles. On decision-making, we trust each other completely to make critical calls for the company across every function. And on organization design, technology is not a distinct part of the company - it is the entirety of it. That is why Karim has for years directly managed risk, operations, and marketing. Most importantly, at Ramp there is no line between the people who build and the people who do everything else. Everyone is a builder. For the last 2,656 days, we have run the company this way. This only makes it formal. We thought it was important to do it now because of how we see the AI exponential reshaping what Ramp can be. Decisions of company strategy are increasingly decisions of technology and systems design. We have always believed every function should be approached as a systems-engineering problem (even when the system was primarily human) but the rise of machine intelligence makes this existential. Every part of the company must be positioned to leverage the continued explosion in model intelligence and capabilities. If we do this well, each step-change in what models can do compounds automatically into better products and faster execution without anyone having to rebuild the company to capture it. If we fail to operate this way we will ultimately be outcompeted by a new company that does. We are also making Rahul Sengottuvelu our CTO. @rahulgs has led Applied AI at Ramp since joining us three years ago through the acquisition of his prior company, Cohere. Before that, his first company was building customer-service agents on GPT-3 at a time when almost no one knew what a large language model was, and he has spent every year since pushing the frontier of what existing models can do. He has also been right on nearly every major technical direction in AI well before it was obvious. Building Ramp now means applying AI to every part of it, and Rahul is the person stepping up to lead that work. We are still very early in the history of Ramp. Our current chapter is perhaps the most dynamic, but we have never been more optimistic on where it is going and the mission has never been more important. The businesses that trust us are navigating the same shift we are, and we intend to be there for all of it: managing their token spend, supercharging their finance teams, and helping them get more out of every dollar and hour. - Eric & Karim

Today, Ramp raised $750M at a $44B valuation. Last time we grew this fast, we were 1/20th the size. For 2000 years, business was built on two pillars. Today, a third: intelligence. It’s your least governed cost. It’s also your single greatest opportunity.

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.