Eigen

Market position

Eigen positions itself against traditional threshold-based machine vision, which it describes as breaking when products or processes vary and requiring continual rule tuning. Its stated differentiator is the pairing of thermal imaging — which can reveal subsurface and temperature-related defects that surface inspection cannot see — with AI models that accommodate variation and improve with additional data.

Technology

The core technology applies machine learning models to thermal (infrared) imaging data captured inline on production equipment, in some applications combined with conventional optical inspection. The company frames its approach as learning from process variation rather than relying on fixed thresholds or hand-tuned rules, so that models continue to function as products and process conditions change and improve over time with less maintenance. Applications include real-time weld verification (hot plate and ultrasonic), parison monitoring in blow molding, full temperature profiling of extruded sheet and film in thermoforming, and continuous temperature tracking of equipment for anomaly detection.

Go-to-market

The company sells directly to manufacturers, using on-site and virtual product demonstrations and consultations with technical specialists as entry points, supported by published customer case studies and application-specific solution pages organized by industry and process.

Manufacturing enterprises running high-volume or high-stakes production processes, spanning plastics processing (injection molding, thermoforming, blow molding), metals, adhesives, building materials, food and beverages, paper and packaging, and automotive. Published case studies involve steel producer Nucor for metal welding inspection, Sappi for specialty paper inspection, and an unnamed global OEM for plastic welding and injection molding in automotive.