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Our guests today are Nikhil Ramaswamy and Gokul NA, co-founders at CynLr, a Bengaluru startup that is developing computer vision and AI-based guidance technologies that can make industrial robotic arms much more versatile. In this episode, Nikhil and Gokul talk about their experiences, in building a deep tech hardware engineering startup out of India, including the absence of a playbook and the reality of having to deal with the ‘India discount.’
Notes:
(00:33) Introduction to The Daily Tech Conversation
(00:45) Our guests today — Nikhil Ramaswamy and Gokul NA, co-founders at CynLr
(02:00) A quick recap of what CynLr is about
(03:20) Replicating what computers do for data with robots and objects
(05:18) Universal factories
(08:00) More on the need for universal factories
(15:00) A snapshot of the journey so far, including early-stage funding, product milestones and early customers
(21:10) A concept of ‘object computers’
(21:50) Top priorities over the next 12-18 months
(24:10) Lessons from building deep tech hardware engineering products out of India — inventing the organisation and the team; automation;
(28:50) Difficulties on multiple fronts — including the ‘India discount’
(37:45) Optimising for a global supply chain
More on CynLr
https://cynlr.com/
Theme music courtesy Free Music & Sounds:
https://soundcloud.com/freemusicandsounds
Our guests today are Nikhil Ramaswamy and Gokul NA, co-founders at CynLr, a Bengaluru startup that is developing computer vision and AI-based guidance technologies that can make industrial robotic arms much more versatile. In this episode, Nikhil and Gokul talk about their experiences, in building a deep tech hardware engineering startup out of India, including the absence of a playbook and the reality of having to deal with the ‘India discount.’
Notes:
(00:33) Introduction to The Daily Tech Conversation
(00:45) Our guests today — Nikhil Ramaswamy and Gokul NA, co-founders at CynLr
(02:00) A quick recap of what CynLr is about
(03:20) Replicating what computers do for data with robots and objects
(05:18) Universal factories
(08:00) More on the need for universal factories
(15:00) A snapshot of the journey so far, including early-stage funding, product milestones and early customers
(21:10) A concept of ‘object computers’
(21:50) Top priorities over the next 12-18 months
(24:10) Lessons from building deep tech hardware engineering products out of India — inventing the organisation and the team; automation;
(28:50) Difficulties on multiple fronts — including the ‘India discount’
(37:45) Optimising for a global supply chain
More on CynLr
https://cynlr.com/
Theme music courtesy Free Music & Sounds:
https://soundcloud.com/freemusicandsounds