Infinitus Systems

“Before we incorporated Infinitus we built a demo that could call United Healthcare and say, hi, I'm calling to check benefits for patient Bruce Willis.”

“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.”

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

“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…”

“So we have a co-pilot called FastTrack that goes through the IVR systems, waits on hold, and then drops in our customers, employees when the other person is ready to talk.”

“For the first three years of the company, that callback number was my cell phone. Right? And we were doing hundreds of thousands of calls. So I was getting 50 to 60 calls a day for various reasons.”

“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.”

“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.”

“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…”

“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.”

“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 we support something like 44 or 45% of the Fortune 50.”

“We've never been part of the technology budget.”

“Dude, so you just raised just over fifty million dollars from Andreessen, you know, one of the most well-known VCs in the world.”

“So I started doing diligence calls by calling prospective customers and saying, hey, I'm a VC at Google. There's this company that I'm looking at that says they can automate phone calls in the back office. Does that sound interesting? And every single person I…”

“If you can automate it will reduce the time it takes to get a patient on therapy. It would reduce the administrative cost in the back office, which Through trickle-down theory would reduce the cost of healthcare in the U.S. And so there's a lot of second and t…”

“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…”

“In the last year and a half, We've started seeing an increase in demand for patient facing phone calls to say, Hey, we know you're about to go on your, for your first infusion. Do you have any questions about what that experience is going to be like? Educating…”

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

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

“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.”

“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.”

“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 …”

“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.”