The Ledger, every show

“So like any other technology system, we're not perfect. We're significantly better than human counterparts.”

“Building the core technology is going to be commoditized over time, but actually delivering the value by being part of the workflow is where there's a lot of challenges and being able to use proprietary data to tune it.”

“So you call the same payer twice for the same patient, and you will get different answers 25% of the time.”

“When we Call an insurance company to get benefits for a patient. 25% of the time, we get incorrect information.”

“Almost 50% of patients who get on therapy, or who are supposed to get on therapy, a script is written, never get on that therapy because of the complexities and delays in those systems, which leads to a lot of avoidable medical cost that ends up in the ecosyst…”

“That led us to have a lot of partnerships with the largest payers in the country, largest PBMs in the countries, where some of them have dedicated call centers just for EVA.”

“And so we built a knowledge graph based on all the calls that we do, to know what right looks like, so that now our AI agents, if they hear something that seems wrong, will push back and say, can you check that again? And we find 70 to 80% of time when we push…”

“I think they said it was 10% more accurate on average than their teams.”

“Most of them now have dedicated call centers for our AI agent. We have a private phone number that we call which reduces our wait time. We get data digitally from them, and then we get a set of human agents who love talking to our AI agent, and it goes really …”

“So just to put this in scale, we've done over five million phone calls, over a hundred million hours of audio, of conversations between machines and humans.”

“We've probably gotten rid of a few single digit percentage of phone calls entirely, but in a pretty good percentage of calls 30 to 40% of data we can now get digitally instead of needing on the phone.”

“And it turns out Silicon Valley Is getting an injection of people that have spent their careers working on ads and games that as they go through their careers go, I want to do something that matters to me.”

“Getting the best talent is important. I think it's getting easier over time. I think it's because every major Company building in AI, the foundation models, is making it easier to fine tune, making it easier to bring your data, which becomes a moat, to be able…”

“Many RCM groups spend more than half their day waiting on hold.”

“And I think the agent companies are going to try to go down, the platform companies are going to try to go up, and it's going to be interesting to see how that plays out over the next couple of years.”

“Is everyone sees the potential of integrating social determinants of health data, but it's missing 80% of the time.”

“Turns out about a year ago some of the biggest ones blocked it, and that was because there was a handful of companies that started calling them, and they were terrible, and they were like, we can't have different policies for different AI agents.”

“In the last two years, because of the Explosive growth of AI agents. Almost every enterprise has put into place AI review boards or machine learning review boards to make sure that when they adopt a new AI agent or a new AI platform, they're not introducing co…”

“Even to this day, every champion of ours has gotten one, if not two, promotions within the first two years of using us.”

“Our average customer is over seven figures.”

“The underlying infrastructure we have is focused on being able to rip and replace any model, the best one that's out there, and sometimes use multiple models from different vendors after fine tuning them with our hundreds of millions of utterances that are lab…”

“And some of the biggest ones now we work with where they give us as much of the data as they have digitally through APIs. It's still not a hundred percent. It's 50 to 70% digitally, so it reduces that 30 minute call Into a 10 to 15 minute call, which is a savi…”

“And you know, there was someone we were talking to in the early days, and we were like, hey, we get a hangup rate of, back then, like, 30%. People aren't talking to us.”

“Many of the biggest Insurance companies in the country, in addition to the doctor side are now using us because they first heard about us when they got a call.”

“You know, I think Parker Conrad at Rippling still runs their internal HR and IT solo administrator. Cause he's like, if this is what we're selling to everybody, I want to know how it works and how it doesn't work.”