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Converting Cameras into Autonomous AI Agents | Rish Gupta, CEO of Spot AI

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Manage episode 479769934 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Rish Gupta is the cofounder and CEO of Spot AI, a video AI platform for the physical world. They've raised $93M from amazing investors such as Scale, Bessemer, and Qualcomm Ventures.
Rish's favorite book: Atlas Shrugged (Author: Ayn Rand)
(00:01) Introduction
(00:32) Video-AI basics: ingesting camera feeds across diverse networks ​
(02:42) Edge-vs-cloud trade-offs for compute, storage, and bandwidth ​
(05:40) Mapping the sector: hardware waves to cloud cameras to pure-software layer ​
(07:43) Founding insight: why Spot AI attacked the video layer now ​
(11:35) Bare-bones MVP: two-page dashboard that unified camera access ​
(15:34) First-10-customer lessons & pruning the ideal customer profile (ICP) ​
(18:54) Go-to-market experiments: ICP variants, pain points, and channels ​
(23:00) Early-team blueprint: engineering-heavy, founders run sales ​
(24:03) Hardware stance: free IP cameras to simplify one-vendor buying ​
(26:01) Biggest tech hurdle: supporting thousands of camera brands & configs ​
(27:00) Sales challenge: outbound fatigue forces novel GTM motions ​
(28:55) Future vision: each camera becomes an autonomous AI agent with a "job" ​
(30:25) Key AI unlock: massive context windows enabling flow-state reasoning ​
(32:14) Rapid-fire round
--------
Where to find Rish Gupta:
LinkedIn: https://www.linkedin.com/in/profilerish/
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi

  continue reading

171 episodes

Artwork
iconShare
 
Manage episode 479769934 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Rish Gupta is the cofounder and CEO of Spot AI, a video AI platform for the physical world. They've raised $93M from amazing investors such as Scale, Bessemer, and Qualcomm Ventures.
Rish's favorite book: Atlas Shrugged (Author: Ayn Rand)
(00:01) Introduction
(00:32) Video-AI basics: ingesting camera feeds across diverse networks ​
(02:42) Edge-vs-cloud trade-offs for compute, storage, and bandwidth ​
(05:40) Mapping the sector: hardware waves to cloud cameras to pure-software layer ​
(07:43) Founding insight: why Spot AI attacked the video layer now ​
(11:35) Bare-bones MVP: two-page dashboard that unified camera access ​
(15:34) First-10-customer lessons & pruning the ideal customer profile (ICP) ​
(18:54) Go-to-market experiments: ICP variants, pain points, and channels ​
(23:00) Early-team blueprint: engineering-heavy, founders run sales ​
(24:03) Hardware stance: free IP cameras to simplify one-vendor buying ​
(26:01) Biggest tech hurdle: supporting thousands of camera brands & configs ​
(27:00) Sales challenge: outbound fatigue forces novel GTM motions ​
(28:55) Future vision: each camera becomes an autonomous AI agent with a "job" ​
(30:25) Key AI unlock: massive context windows enabling flow-state reasoning ​
(32:14) Rapid-fire round
--------
Where to find Rish Gupta:
LinkedIn: https://www.linkedin.com/in/profilerish/
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi

  continue reading

171 episodes

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