The Ledger, every show

“You could be an L five and get an offer in the tens of millions.”

“That's why we're starting to see even agents built on top of classic, iconic platforms like Datadog Lose to some of the new AISRE companies, like a resolve or a traversal.”

“Twenty-twenty-six is going to be the year that the dynamic agent layer overtakes the system of record.”

“AI will drive 10 to a hundred times performance improvements, showing companies that there is a new way to work, Advancing from text to image to more complex workflows, such as text to SQL queries, or eventually text to Excel modeling and more.”

“I mean, they got to over 50% of the Fortune 500 and I think faster than anyone we've ever seen.”

“They have compute needs, right? That's 80% of a round that they typically raise, or typically of a round that they raise.”

“There's a company, I can't share the name but their product went GA in a few weeks, tens of millions of revenue, right?”

“AI companies are growing faster and are larger than even we expected.”

“And if you look at the revenue of just two of the top tier frontier labs You know, if you look at the chart on the left, not only have they surpassed the early revenue ramps of some of the best SaaS companies in history I'll point you over to the right they're…”

“It's not the case that just two companies are growing very quickly in AI, and in fact that's probably a good segue to the next slide that shows markets are not only growing faster and much larger than expected, they're also fragmenting.”

“And in fact, I think model inference costs have gone down 10 X year over year.”

“The first thing I'd call out that seems, that sort of just jumps off the page is that the AI native companies are far outpacing their SaaS counterparts and you can see it in terms of new companies blowing past this golden metric of time to a hundred million of…”

“If you talk to a Decagon customer, they're actually slashing their customer support costs by up to 80%, and not only that, are they, they're seeing deflection rates go up from 30% to anywhere from 60 to 80%, and their CSATs, their customer satisfaction scores,…”

“A lot of these high growth apps are not your typical system of record, 95% gross dollar retention companies that we sort of saw in the twenty-tens but importantly, that doesn't mean you should throw the baby out with the bathwater.”

“They actually beat every forecast they ever gave us”

“We talk about buying compute, but there's a huge negotiation involved there in terms of, okay, do you get equity for the compute? What sort of partner are you looking at? Is there a go-to-market? Arm to that. And these are just things on this scale, hundreds o…”

“Like for the first time you can actually get one shot data analysis, right? Which, you know, if you're going to do a customer database, analyze a cohort retention, right? That's just stuff that you had to do by hand before. And our team, the other, it was like…”

“There was a wave of SAS two point O that was well-funded and tried and failed to take on the system of record, mostly through a better UI.”

“It's really the emerging agent layer that sits as close as possible to the user and is collecting data on that user, understanding user preferences that we think accrues value in the future.”