Solutions

AI Quality Inspection

Manual inspection misses defects, slows the line and produces inconsistent results between shifts.

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In one paragraph

AI quality inspection uses computer-vision models trained on images of your products to detect defects, measure dimensions and verify assembly in real time, running on cameras and edge devices on the line. Results feed reject mechanisms and quality dashboards. AIYatch handles data collection, labelling strategy, model training, edge deployment and integration with your MES or quality systems.

What you get

Consistent, objective inspection at line speed
Fewer escaped defects and less rework or scrap
Traceable inspection records per unit or batch
Early warning when defect rates drift

Services involved

Computer VisionSee defects, plates, people and products, automatically and at scale.MLOps & AI InfrastructureDeploy, monitor, scale and secure AI systems, so they keep working after launch.Open-Source AILlama, Mistral, Qwen and friends, deployed privately, tuned to your needs.Data & Predictive AIForecast, score and detect with models you can trust, on data you can defend.

Frequently asked

That is common. We use anomaly-detection models that learn from good units, synthetic augmentation and active learning that asks operators to label the most useful new images. As real defects are captured in production, the model improves. We confirm feasibility on a small pilot before committing to full delivery.

Usually industrial cameras with suitable lighting and an edge device such as an NVIDIA Jetson or industrial PC. We help specify the setup during discovery, and existing cameras can often be reused. Models can also run on your servers if latency allows, and we integrate results with reject mechanisms and your quality or MES systems.

Related work

Outcomes, not demos.

Abstract navy cover with a rising cyan course line

Manufacturing

Computer-vision defect detection on a packaging line

Camera-based inspection that catches print, seal and label defects in real time on a high-speed packaging line, with results fed to the plant's quality system.

~96%

defect recall on the held-out test set

-60%

defective units reaching final inspection

Computer VisionMLOps & AI InfrastructureData & Predictive AI

Retail & E-commerce

Multimodal AI catalogue system for a home-and-garden retailer

Vision-language models that turn supplier photos and spec sheets into structured, searchable product listings, with attribute extraction, image tagging and visual search.

~10×

faster new-product listing

~93%

attribute accuracy on the QA sample

Multimodal AIComputer VisionGenerative AI & LLM

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A free 30-minute consultation: we listen, ask hard questions and tell you honestly where AI will and won't help.