Five people with direct experience in manufacturing quality operations, industrial vision system deployment, and machine learning engineering. No one here learned this problem from a case study.
CEO & Co-Founder
7 years in manufacturing QC, former quality operations manager at a Cleveland industrial fabrication shop; Cleveland State industrial engineering.
CTO
Former Landing AI deployment engineer; 4 years commissioning LandingLens inspection models at US manufacturing sites.
Head of ML Engineering
6 years at National Instruments Vision building custom image-acquisition pipelines for Midwest manufacturers; owns Eolvision's model and training infra.
Integration Engineer
5 years as a Keyence applications engineer across Ohio and Michigan Tier-1/Tier-2 plants; owns camera SDK + PLC integration.
Platform Engineer
MS CS from Case Western; prior active-learning annotation work at a Cleveland MES startup; owns edge runtime and deployment pipeline.
The Eolvision team has stood at the inspection station, watched a changeover spike the reject rate, and spent hours waiting for an engineer to recalibrate the thresholds. Request a demo and talk to the people who built this.