Jain: Core AI will commoditize; value lies in workflow and proprietary data
Ankit Jain · Can AI Solve Healthcare's Urgent Workforce Challenges? w/ Ankit Jain · Jun 26, 2025 · at 19:29
Ankit Jain, CEO of Infinitus Systems, explains to a16z General Partner Julie Yoo why general AI labs and Big Tech hyperscalers cannot easily disrupt specialized healthcare AI vendors.
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“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.”
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More from Ankit Jain
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“So like any other technology system, we're not perfect. We're significantly better than human counterparts.”
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: People demand perfection from AI instead of human-level baselines
“People want perfection out of technology rather than comparing it to the human counterpart.”
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…”