AI-powered visual inspection and automation built by engineers who've worked the factory floor. Not another enterprise demo. Real models, real deployments, real results.
Cognex, Keyence, and legacy vendors lock you into proprietary hardware, six-figure contracts, and integration timelines measured in quarters.
YOLO models and generic CV frameworks don't account for vibration, particulates, lighting shifts, or the hundred other things that go wrong in real environments.
Sending images to the cloud for inference is a non-starter when your line moves at 200 units per minute. Edge inference isn't optional. It's required.
Most CV startups are founded by ML researchers who've never touched a PLC. They build for demos. VisionForge builds for deployment.
Purpose-built computer vision models and applications that survive the factory floor, the drill site, and the warehouse.
Train custom inspection models on your actual parts. Surface scratches, dimensional variance, assembly errors. Catch what human inspectors miss at line speed.
Continuous visual monitoring of production processes. Detect anomalies in real-time. Flag deviations before they become scrap or safety incidents.
Vision-guided robotics that adapt to variance. Pick-and-place, welding path correction, part orientation. The eyes your robots need to work autonomously.
AI Industrial Automation by 2035
Annual Market Growth
Edge Inference Target
Detection Accuracy Goal
VisionForge is founded on the conviction that industrial computer vision should be accessible, deployable, and built by people who understand the physics of the factory floor, not just the math of the model.