Deep Thinking on Deep Learning

Quality is costly, and manufacturers are faced with balancing two competing curves: Pay for quality upfront, or potentially suffer the high costs of escapes generating rejects, returns, and ill will among customers.

Spyglass harnesses the power of AI, IIoT, and image recognition to intelligently minimize defects and improve product quality

If a defect is not detected, and the flawed product is not removed early in the production process, the damage can run in the hundreds of dollars per unit.

Intel and Microsoft have formed a partnership and have launched a joint website to support their collaboration and inform customers on its benefits.

Erica Stevens interviews Mariner's Peter Darragh, EVP of Product Development for an Insight.tech article on Machine Learning featuring Spyglass Visual Inspection.

Join us on 12/15 to hear real-world case studies about how a chemical factory, a glass factory, and a fabric factory reduced their costs and increased their quality.

Every year, the Charlotte Business Journal sponsors a “Best Place to Work” contest. Mariner reached the #2 slot in the Small Business Category for 2020!

Mariner was named a finalist in the "Business Impact - Analytics, AI & Big Data" category for the 2020 Blue Diamond Award presented by the Charlotte Area Technology Collaborative (CATC)

Don't miss IndustyWeek's webinar on October 13, 2020 featuring Mariner, Intel and Microsoft. "Leveraging Deep Learning and AI Applications in Manufacturing"

If you are a manufacturer, you won't want to miss this event September 25th!

When your job is to prevent your customers and supply chain partners from dealing with defects created by your out-of-control production line...