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Ankit left his job as a VC to launch a Voice AI platform—back in 2018! It wasn't the voice AI of today. The first demo sounded like a robot. But still, he convinced large enterprise customers in the healthcare space to try it out. He found a highly manual, call intensive workflow in the back office and autoamted it using AI.
Years later, he's raised $102M and has dozens of large $1M+ enterprise customers using the product. He talks about how he started it, how he saw the AI opportunity so early on, and how he found a way to lock in champions that pushed his product inside large enterprises.
Why you should listen:
Keywords
product-market fit, AI in healthcare, automation, conversational AI, startup challenges, scaling, founder advice, technology evolution, compliance, trust in AI
Timestamps
(00:00:00) Intro
(00:02:01) How it all started
(00:06:29) Automating Insurance Calls
(00:16:37) Landing the first customers
(00:22:02) Giving your persona phone number to early users
(00:27:43) Landing large enterprise customers
(00:33:45) Getting Early Adopters to Believe
(00:36:34) Finding Product Market Fit
(00:38:04) One Piece of Advice
Send me a message to let me know what you think!
4.9
7878 ratings
Ankit left his job as a VC to launch a Voice AI platform—back in 2018! It wasn't the voice AI of today. The first demo sounded like a robot. But still, he convinced large enterprise customers in the healthcare space to try it out. He found a highly manual, call intensive workflow in the back office and autoamted it using AI.
Years later, he's raised $102M and has dozens of large $1M+ enterprise customers using the product. He talks about how he started it, how he saw the AI opportunity so early on, and how he found a way to lock in champions that pushed his product inside large enterprises.
Why you should listen:
Keywords
product-market fit, AI in healthcare, automation, conversational AI, startup challenges, scaling, founder advice, technology evolution, compliance, trust in AI
Timestamps
(00:00:00) Intro
(00:02:01) How it all started
(00:06:29) Automating Insurance Calls
(00:16:37) Landing the first customers
(00:22:02) Giving your persona phone number to early users
(00:27:43) Landing large enterprise customers
(00:33:45) Getting Early Adopters to Believe
(00:36:34) Finding Product Market Fit
(00:38:04) One Piece of Advice
Send me a message to let me know what you think!
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