Visual Quality Inspection in Manufacturing with Max Versace of Neurala
The gig economy has created jobs we never would have imagined. This offered those in “mundane, low skill” jobs an opportunity to earn a living while enjoying a better quality of life. Fortunately, AI is stepping in to fill the empty seats these workers once occupied. Manufacturing is a great example of this activity. Production lines once required humans to review products for defects – a quite mundane task. Today, the power of AI and machine vision enable a software driven approach. Neurala is a startup integrating AI-based software into cameras to support vision inspection.
In this episode, I sit with Max Versace, Co-Founder and CEO of Neurala. We discuss his move from Italy to the US to work on projects supported by DARPA and NASA, shortage of demand for jobs in manufacturing, how machines can catch product issues undetectable to humans, and much much more.
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Show Notes with Timestamps (VIDEO):
1:52 Moving from Italy to getting funded by DARPA to build brain algorithms to control robots
4:04 The origins and evolution of Neurala | solving manufacturing’s challenge with vision inspection
6:20 The business case for moving from Mars Rover to industrial machines
11:02 How Neurala uses visual inspection to improve production in manufacturing
14:20 Catching product issues that are humans miss
15:45 Neurala’s go-to-market and how it’s software is integrated into customer cameras
17:40 Designing a product that doesn’t require AI expertise | Using customer data for anomaly detection
20:41 The difference between AI research and building commercial AI products
22:49 Neurala’s founding team and first few employees | filling gap in engineering talent
27:20 Finding the first few manufacturing customers
31:10 Biggest challenge in building and deploying AI
35:20 Max’s favorite tech tools: Slack
36:30 Why Tim Draper inspires Max
Previous Episode: Alex Weidauer, Co-Founder & CEO of Rasa