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 https://t.co/dbQK7feZaA
Introducing Aidan, your newest AI employee
Aidan is the first computer-using AI built for realtime conversation
We’ve raised $45M from @sequoia and @8VC to bring Aidan to the world
@NotionHQ and @DecagonAI already use Aidan to run customer interactions. This is how @withsableai works:
It is officially a White Circle Summer ⚪ At least it is in Sweden!
We're excited to announce our technical partnership with @Lovable to help make AI safer, more secure, and more reliable at scale.
Read more below ↓
Today, we’re launching @TuvaAI to build a human-centric future for agentic science.
Humans collaborating with AI can learn more than either working alone: humans guiding the research, equipped with agents that can test ideas quickly and autonomously, will deliver the next wave of scientific discovery. But science is all about the details. Neither Einstein nor AGI can drive your project forward without intimately understanding your growing, interrelated web of hypotheses, intermediate results, working threads, failed experiments, datasets, notes, and water cooler conversations.
Our first product, Rao, was born out of my frustration having to reteach LLMs these constantly changing details for every single task in my own research. Rao maintains a persistent, dynamic research memory that learns and remembers project context, history, and threads. This research memory then links into our scientific agents as well as other AI software you may already be using, such as Claude or Codex. With Rao, every scientist turns into a PI managing a proactive, agentic research team that automatically stays on the same page.
Rao is live in VS Code and by CLI, and can help with any scientific task that can be done in a computer. Our early users include computational biologists, theoretical neuroscientists, chip designers, and polymer physicists who use Rao daily to ideate, do math, analyze data, and write papers and grants.
Now, we’re excited to announce Rao in closed beta. If your science mostly happens in a computer—theory, computational modeling, experimental data analysis, scientific writing—Rao can help you discover more, faster. Sign up for our waitlist, and if you’re a fit, we’ll work with you to tailor new, contextual agents that augment the way you do science. Link in the comments.
More personally: I’ve been doing scientific research since I was a kid. Scientists do so much for the world, choosing a painstaking career for the joy of discovery, developing technologies we use every day along the way. And yet, the tools scientists use are often cumbersome and woefully out of date. For me, Tuva is much about empowering the people of science with products they love as it is about the discoveries we’ll help them make. And I’m lucky to work with some wonderful humans along the way—@SamsaraDurvasu1@anuvellore@KimchiOfer among many others. If our mission resonates, please reach out.
Many companies are #1 in a benchmark they crafted.
We worked with @micro1 to create an independently audited benchmark to measure document extraction performance with long documents.
The results of LongExtractBench show the nuances companies are likely to find in the real world. micro1 tested frontier models with max reasoning and document processing platforms with their strongest configurations, and found notable precision/recall and completion tradeoffs across most.
Reducto’s Deep Extract leads the industry by a wide margin. 🧵
While everyone’s displacing jobs, we’re creating them. A Hero for every family.
@hellotohera’s favorite friend 83 year old Stanley Zareff dropped by our office to learn what being a Hero means and announce our 27M Series A led by @BainCapVC, and continued participation by @Accel and @iaventures 🧵
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
SpaceX has exercised the option to acquire @cursor_ai in an all-stock transaction with the goal of building the world’s most useful AI models.
For the past few months, SpaceXAI has been jointly training a model with Cursor, which will be released in Cursor and Grok Build soon.
We look forward to working closely with the Cursor team to advance our frontier AI capabilities
We're launching @niteshiftdev – the full-stack cloud for coding agents
Verification is the new bottleneck.
Software teams can now define their dev environment and verification tools once. Then run any frontier agent in the cloud: Claude Code, Codex, or OpenCode
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.
Excited to share Adaptive Innovation’s (@joinadaptive) $50M Series A led by @felicis and $10M Seed led by @BainCapVC.
Adaptive is an AI-native healthcare provider rebuilding the way care is delivered in America, starting with home health
Today we’re introducing Forus and announcing $160M to build the foundation for modern medicine.
Science should be the only limit to medicine. Today it isn’t. Drug discovery is moving faster, but the system that turns it into real-world treatment isn’t.
https://t.co/kideEzsDjO
Introducing Altara: the scientific intelligence platform for the physical world.
Today @evatuecke and I are excited to announce our $7M seed led by @GreylockVC, joined by @Neo, @BoxGroup, @Liquid2V, and angel investors including @JeffDean and leadership from OpenAI & AMD.
We’re already working with early customers in semiconductors, batteries, and advanced materials. More below.
Today, we’re announcing our $160 million Series D funding, led by @kleinerperkins, with participation from @sequoia, @ThriveCapital, @jpmorgan, and @khoslaventures.
35,000+ financial professionals. 250+ institutions. One platform, purpose-built for finance.
Thank you to our clients, our team, and our investors for their support as we continue building to raise the ceiling for what finance can accomplish.