Ramp

So we have 14 companies in the portfolio today.

The largest are Databricks and OpenAI, but there's Stripe, there's Ramp, there's Revolut, there's Whatnot, there's Mercor, there's Levin Labs, Boom Aura, and I'm probably forgetting SpaceX, probably forgetting a couple, Airwallex.

But really what we think are best-in-class companies that are still private And where in a lot of ways you can say, okay, maybe they've already won, but we think there's still a lot of value, a lot of talent, a lot of wealth creation compounding to those companies as they continue to grow.

So that's really where our VI is focused.

And so when people bought a share at the IPO, they bought a share of, so our parents had pre-funded a portfolio that they contributed of about $250 million.

There was six companies at the time.

Mercore, Ramp, Revolut, Airwallex, Boom and Aura.

And so there was part of a portfolio, but a lot of it was cash, knowing that we would invest that cash within 12 to 24 months.

[laughs]

And yeah, and but there are great companies here, like, you know, Ramp is here, as an example.

Rogo, you know, we just announced financing this morning.

We have lots of application layer.

Depends on what role and at what level of seniority.

Individual contributor level right out of school, absolutely.

Arguably, this is what has powered Ramp.

We've been tapping into right out of school graduates and been able to create a critical density of talent from the intern class on that is extraordinary.

This week is a Radar Rapid Fire episode.

The show covers what you need to know right now about Anthropic, Aura, Kraken, Carbon Robotics, Cognition, Mistrawl, 11 Labs, and Ramp.

Let's get started.

I'm Craig from AccessIPOs.

And the market can't figure that out until we see a bona fide IPO prospectus.

Radar rapid fire.

Ramp is catching more air.

A report from Bloomberg dropped this week revealing that Ramp is raising a new round at a $60 billion valuation.

Our next guest, though, might have some answers.

Corporate finance platform Ramp updated its AI index yesterday, tracking how much American businesses are spending on AI, and the results are quite staggering.

According to the report, about eighty percent of all enterprise revenues at OpenAI and Anthropic come from just one percent of businesses, and those businesses are now pulling back on spending.

So here to break down this data, we are speaking with Ara Karazian, the lead economist at Ramp.

Ara, thank you for joining us on the show.

You've just published this index, and the report is titled, quote, "Cracks in the AI Thesis." Um, and this number, eighty percent of enterprise revenues coming from just one percent of the businesses at OpenAI and Anthropic, seems to be a big part of that.

That was interesting.

And then it was also exciting to find out that Calm was being used by a lot of the companies that we know, like Ramp and Mercury, some leading fintech, exciting companies.

And so when the founders of Brex, Ramp, and Mercury will all call me to say, hey, William's the real deal.

Alex Wang from Scale AI and Meta, he also was willing to get on the phone.

You're like, this guy is really well-respected and he's under the radar.

And I hope to do more of at my startup.

Yeah.

When you think about signals that get you to lean in, obviously when an Eric at Ramp or an Alex at Scale call you, that's a signal.

The key question is whether the reported transaction closes and how Stripe integrates model access with its existing developer and merchant ecosystem.

Turning to Ramp, the corporate finance platform has introduced its own AI model router called Router.

The product signals that Ramp is seeking to manage not only financial workflows, but also the orchestration layer connecting those workflows to different AI systems.

That could improve flexibility, cost control, and reliability for finance teams using automated tools across expense management, procurement, and reporting.

It also suggests that the next competitive boundary in fintech may involve deciding which models handle sensitive business tasks and under what controls.