DTM E61. Sentience Before Intelligence: Rethinking the Approach to Computer Vision - Gokul, CynLr
DTM E61. Sentience Before Intelligence: Rethinking the Approach to Computer Vision - Gokul, CynLr
From the Deep Tech Musings Podcast - Get actionable and tactical insights to take your Deep Tech startup from 0 to 1 [Idea to Traction].
Listen now on - Spotify, Apple
Before founding CynLr in 2019, Gokul began his career at National Instruments (NI) and worked as an SW Architect & Specialist in Vision, RF, and Embedded systems. He was responsible for designing algorithms serving customers across Europe, Taiwan, and India. After a consulting stint and successfully solving 70+ customer problems that were previously unsolved vision conundrums, Gokul & Nikhil started CynLr in 2019 to productize their Vision approach.
At CynLr, Gokul along with Nikhil, is building the org to address technology & industry gaps in achieving the idea of Universal Factories. This requires foundationally rebuilding Vision from the understandings of neuroscience to custom building imaging systems involving 400+ unique parts, 200+ partners from across the globe and reinventing the industry framework to handle these operations, unique supply chain, internal tools, processes and talent.
From a 2-member team CynLr has grown to a 50+ member team with a design center in Switzerland, Robotics lab in India & Sales office in US. CynLr is $5M funded and will be further growing into a 120+ member team. CynLr will be reaching a revenue of $18M in 2027.
This is a goldmine of an episode for anyone interested in AI and in particular the computer & machine vision industry, its past present and future and its real life applications. Do not miss it!
On this episode we discuss,
Gokul’s personal journey and what motivated him & Nikhil to start CynLr
Founding story of CynLr
Vision as we know it: history of computer vision, drawing parallels with human vision, shortcoming in current vision applications
What is the state of the art in machine vision now and what is CynLr doing to bridge the gap between machine vision and human vision
CynLr’ vision foundational stack and major technologies at play
What does it mean to have machines that are intuitive about objects
What is the ChatGPT moment for vision
How would the vision industry evolving in the next 3-5 years? What's in the immediate future for CynLr?
Listen to the episode here,
or on the platforms below
Links & References:
Gokul N A- n-a-gokul (LinkedIn)
Pronojit Saha, DTM Podcast - pronojitsaha (LinkedIn), @pronojits (Twitter)
If you enjoyed this episode, please leave us a rating on Spotify, Apple, or wherever you listen to podcasts. It helps us reach more people who are interested in deep tech & grow the community.
Also, don’t forget to subscribe to Deep Tech Musings Podcast on pronojits.substack.com so you never miss an episode.
Thank you for listening! See you next time!