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SaaS Interviews with CEOs, Startups, Founders

Camera Analytics SaaS Hits $6k MRR, Raised $1.5m at $4m Valuation

SaaS Interviews with CEOs, Startups, Founders

Nathan Latka

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

4.6683 Ratings

🗓️ 28 November 2021

⏱️ 15 minutes

🧾️ Download transcript

Summary

No code AI computer vision

Transcript

Click on a timestamp to play from that location

0:00.0

If we take 50 across 10 customers at 225 a camera, that means you guys are doing about

0:04.8

11,000 bucks a month in revenue right now?

0:08.0

Not that much because the thing is that most of these are still in pilot phase.

0:13.1

So we're doing around half that, I think.

0:17.6

You are listening to conversations with Nathan Latka, where I sit down and interview the top

0:22.9

SaaS founders, like Eric Wan from Zoom.

0:26.6

If you'd like to subscribe, go to getlatka.com.

0:30.8

We've published thousands of these interviews, and if you want to sort through them quickly

0:34.6

by revenue or churn, cac, valuation, or other metrics,

0:38.6

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

0:43.1

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

0:46.1

Check it out right now at gitlatka.com.

0:50.8

Hey folks, my guest today is Tavi Tamise.

0:53.0

He has a passion for finding actionable value using data all by applying machine learning. He's doing this building phyma.

1:00.6

Right now. We're going to jump in today again, no code AI computer vision tool. Tavi, are you ready to take us to the top?

1:08.0

Yeah, of course. Thank you for having me first of all.

1:09.9

You bet. Okay, so it's a no code, again, AI computer vision software.

1:13.6

Who's paying for this and how are they using it?

1:16.6

So the idea basically got started that it's really difficult to build computer vision applications.

1:23.6

FIMA by itself is currently targeted at the commercial real estate developers,

1:29.3

anybody who has physical environments that have movement in them, that people need to track,

1:35.2

and also out-of-home advertising companies.

...

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