PODCAST: Helping manufacturers realize zero defects by adopting AI-enabled solutions

Mario Cywinski   

Innovation & Technology Operations Electronics Manufacturing ai-enabled automation data Editor Pick eigen innovations high-tech Machine learning Manufacturers plant talk root cause analysis Technology



Scott Everett, CEO and Co-Founder, Eigen Innovations


In this episode, Everett speaks about Eigen Innovations’ mission in helping manufacturers realize “zero defects” by giving them real-time, actionable insights to better control their processes and the quality of their outputs.

He speaks about Eigen’s machine vision platform, which unites image and quality data on every part. With correlated data, it generates a virtual part profile, a traceable blueprint, which is used to generate machine learning models to monitor parts and processes, and automate actions.

He explains how with insights delivered via the platform, operators and engineers can adjust process controls to prevent quality issues in-line. Using the robust part profiles, they can access data to conduct root cause analysis and investigations.


Everett has dedicated his career to consulting in engineering and quality control applications. While he was studying engineering at the University of New Brunswick, he developed a strong belief that modern technology could solve some of manufacturing’s most complex, unseen problems.

He co-founded Eigen Innovations in 2012, and has been working since that time to bring technology to the factory floor, specializing in advanced industrial vision and machine learning.

Everett is based in Fredericton, New Brunswick, and spends the majority of his time working with the product development team to evolve Eigen’s AI-enabled solutions, and pitching the solution to Tier 1 manufacturers around the globe. He’s currently in the process of completing his Ph.D. studies in mechanical engineering.

Eigen Innovations also recently has partnered with Intel.


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