Don't Take Our Word For It. Try It.
Quality inspectors miss defects. Our vision AI catches them in milliseconds. Upload an image below and see for yourself — no signup required.
Try Live DemosManufacturing Quality Control
Our custom YOLOv8 model is trained on a screw dataset to detect manufacturing defects — scratches, bends, and surface damage. It classifies each part as PASS or DEFECTIVE. Try a sample or upload your own.
PPE Safety Compliance
Our custom RF-DETR model detects hard hats and reflective vests in workplace photos — identifying workers wearing proper PPE and flagging those without. Try a sample or upload your own.
The Vision AI Business Case
You just ran our models. Now imagine them on your production line — inspecting every part at the speed of your conveyor, 24/7, without fatigue or subjectivity. Human inspectors catch defects with 70–80% accuracy on a good day. Our models run above 92% consistently.
The ROI is straightforward: fewer defective parts reaching customers means fewer returns, fewer warranty claims, and fewer reputation hits. Our clients typically see 40% QC cost reduction in the first year.
Operations Intelligence
Vision is where you see the AI work. But the same approach — custom models trained on your data — applies across operations.
Demand Forecasting
ML models trained on your sales, seasonality, and external signals. One client reduced stockouts by 62% and freed $4.2M in working capital.
Yield Optimization
Process parameter optimization using production data. Identify which combinations of inputs maximize output quality and minimize waste.
Predictive Maintenance
Sensor data analysis that predicts equipment failures before they happen. Shift from scheduled maintenance to condition-based intervention.
How We Deploy
Diagnose — We audit your current process, measure baseline performance, and identify where AI creates the most value.
Capture — We collect and label training data from your actual production environment. No synthetic data, no lab conditions.
Train — Custom models fine-tuned on your parts, your defects, your edge cases. Not a generic pretrained model with a prompt wrapper.
Deploy — On-premise or cloud, integrated with your existing MES/SCADA systems. Models run on GPU at the edge for real-time inference.
Monitor — Continuous performance tracking with drift detection. When production changes, we retrain.
Let's Talk
Have a challenge that needs AI? We'd love to hear about it.