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SaaS Interviews with CEOs, Startups, Founders

Deep Tech Founder Lands First Customer at $150,000 per year

SaaS Interviews with CEOs, Startups, Founders

Nathan Latka

Ceo, Entrepreneurs, Founders, Software, Business, Entrepreneurship, Saas, Startups

4.6683 Ratings

🗓️ 12 May 2022

⏱️ 12 minutes

🧾️ Download transcript

Summary

Make AI accessible to everyone

Transcript

Click on a timestamp to play from that location

0:00.0

What are these companies paying on average per month or per year to use your technology?

0:05.0

So now we have the first customer. It is like $130K for the annual contract.

0:12.7

You are listening to Conversations with Nathan Latka, where I sit down and interview the top SaaS founders, like Eric Wan from Zoom.

0:22.1

If you'd like to subscribe, go to getlatka.com. We've published thousands of these

0:27.4

interviews, and if you want to sort through them quickly by revenue or churn, cack, valuation,

0:32.8

or other metrics, the easiest way to do that is to go to gitlatka.com and use our filtering tool.

0:38.3

It's like a big Excel sheet for all of these podcast interviews.

0:41.4

Check it out right now at gitlatka.com.

0:46.5

Dr. Ujwin-Zong has been passionate about AI since the start of his PhD university in Edinburgh back in 2010.

0:52.5

Since the first year of his PhD, he started to publish several

0:54.7

papers on Boltzman machines and approximate interference in one of the most influential

0:58.5

AI conferences near IPS. His research contributes to the core of his current company, BoltSpitt

1:03.8

AI at BoltSpit.com. Dr. Uchon, you ready to take to the top? Yes. Okay. So Boltzpitz tagline is make AI accessible to everyone.

1:14.0

What does that mean?

1:16.0

So AT&S means to really give people who have the data, the power of AI.

1:22.3

So people can just develop AI from their data without having knowledge of machine learning or

1:27.7

department.

1:28.2

And who are these people?

1:30.0

I mean, who are you selling to?

1:32.0

Selling to is business.

1:33.7

Yes, mainly it's business and pretty local a lot of like companies who have a lot of

1:39.0

customer data and product data and you want to automated decisions, like product recommendations and

...

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