Automate cosmetic defect detection at every production station with process-specific Vision AI — no tunnels, no line redesign, no manual dependency.
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Defect Data Never Captured
Most cosmetic defects are rare or short-lived, leaving the majority of defect variations unseen during training.
Visual Appearance Variance
The same defect can look radically different due to surface geometry, material, and lighting changes.
Part Position Variability
Small positional shifts are inherent to real production lines and must be tolerated by Vision AI.
From Pilot to Production Failure
Models that work in pilots often degrade after months of continuous inline operation.
FOR AI DEVELOPERS _
An end-to-end AI development platform to build, simulate, and deploy intelligent applications — powered by GPU orchestration, real-time collaboration, and flexible on-prem/cloud deployment.
FOR FACTORY QUALITY TEAMS _
A production-ready AI inspection engine built for automotive manufacturing. Detect every defect, at every station, with zero line redesign and fast deployment.
Our vision-inspection workflow begins with cloud-side AI Infrastructure, where we capture real production conditions, build a digital twin of your station, and train the model using large-scale synthetic defects. Once optimized, the model is deployed to the Vision AI Engine on your production line, running in real time at full cycle speed with sub-millimeter accuracy.
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We capture real production conditions for accurate modeling.
Thousand-scale defect dataset created in simulation.
AI tuned to your production surfaces.
Inspection hardware installed and calibrated for your line.
Vision AI Engine performs real-time defect detection.
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These stages capture real production conditions, build the digital twin, generate synthetic defects, and train the model using GPU-accelerated compute — all performed off-line to prevent production disruption.
The optimized model is deployed to the inspection hardware at your station, running inline at full cycle speed and delivering real-time defect detection, visualization, and quality insights.
AI, Robotics, and Cloud—working together to make automation smarter, faster, and more scalable.
