The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 14 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Jain: Infinitus AI performs significantly better than human healthcare counterparts
“So like any other technology system, we're not perfect. We're significantly better than human counterparts.”
Jain: Core AI will commoditize; value lies in workflow and proprietary data
“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.”
Jain: Calling healthcare payers twice yields different answers 25% of time
“So you call the same payer twice for the same patient, and you will get different answers 25% of the time.”
Jain: Administrative delays stop 50% of chronic patients from starting therapy
“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…”
Jain: Major health payers built dedicated call centers for Infinitus AI
“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.”
Jain: Payers correct errors 70-80% of time when AI pushes back
“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…”
Infinitus AI has completed over 5M calls and 100M audio hours
“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.”
Infinitus retrieves 30% to 40% of healthcare call data digitally
“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.”
Jain: Silicon Valley talent is shifting from ads to healthcare tech
“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.”
Jain: Recruiting AI talent is getting easier as foundation tooling improves
“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…”
Jain: Healthcare RCM groups spend half their workday waiting on hold
“Many RCM groups spend more than half their day waiting on hold.”
Jain: AI agents and EHR platforms will battle over integration layers
“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.”
Jain: Social determinants of health data is missing 80% of time
“Is everyone sees the potential of integrating social determinants of health data, but it's missing 80% of the time.”
Infinitus fine-tunes LLMs on hundreds of millions of labeled healthcare utterances
“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…”