How Few-Shot Learning is Transforming Custom Vision Model Training for UK Manufacturers
Traditional deep learning requires thousands of labelled examples to build production-ready models. Our few-shot learning approach achieves 95%+ accuracy with as few as 50 examples per defect class — making custom AI vision accessible to every manufacturer, regardless of data availability.
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VisionForge AI Completes £45M Series B Funding Round
Funding to accelerate UK expansion, international growth into Ireland and Germany, and development of next-generation EdgeNode hardware.
Read More →The State of Industrial AI in UK Manufacturing: 2026 Report
Our annual survey of 450 UK manufacturers reveals adoption trends, barriers, and ROI data for industrial computer vision deployments.
Download Report →VisionForge Wins Innovate UK Industrial AI Award 2025
Recognised as Best Industrial AI Platform in the Manufacturing Category at the annual Innovate UK Technology Excellence Awards, London.
Read More →TensorRT Optimisation: How We Achieve Sub-2ms Vision Inference at 4K
A deep dive into our model compilation pipeline, quantisation strategies, and batching approach that delivers market-leading inference latency.
Read More →How Sheffield Steel Eliminated Weld Defect Escapes and Saved £1.2M Annually
Full case study of our automated weld inspection deployment across 8 fabrication bays at a major Yorkshire structural steel manufacturer.
Read Case Study →VisionForge Command Centre v4.0: Mobile-First Dashboard & AI Insights
Our biggest platform update yet. New mobile app, AI-generated improvement recommendations, and redesigned defect gallery interface.
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