Sramana Mitra: What did AI do that was really unique to your product?
Swapnil Jain: We’ve always used LLMs in our tech stack. The key technology was transcription. A human doesn’t need to listen to a call. We can make it much more easier for them to understand the call. Then we also built a lot of NLP technology to further crystallize that. They won’t even have to go through the transcript or look at the keywords. We can just give them a summary. This was all not possible before.
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>>>Sramana Mitra: We are in the 2018 timeframe now?
Swapnil Jain: Yes.
Sramana Mitra: What are the next few strategic moves that got you further?
Swapnil Jain: 2019 was a big product year. We had a product that we were shipping every day, but we didn’t know if this was strategic or not. The big strategic decision in 2019 was getting a strong VP of Product. If I look back, that is something I should have done sooner. I acted as a product leader, but I was not good.
>>>Sramana Mitra: A lot of pre-seed investments happen in the alumni network. An engineer in a branded company like Twitter works.
Swapnil Jain: Of course. The other thing I would say is the Bay Area is more lenient in terms of supporting people. Did I have a great idea? Maybe. Maybe not. People’s willingness to support is also a big factor. It’s the pay-it-forward kind of thing.
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In case you missed it, you can listen to the recording here:

Swapnil Jain: When you call your bank, you hear that the call is being recorded for quality and training. A human would come in and listen to it manually. While listening, they are filling out a form about the call details. Then on the other side, the supervisors who are coaching the agents are doing the same thing. The operations team, which is trying to improve processes on how to best handle these calls, is doing the same thing.
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