AI Model Generation

AI Trainer - Production AI Without the Data-Science Detour

QuaVis AI Model Creator (QVAITrainer) puts the complete AI model lifecycle into a single Windows desktop application - built for the people who know their parts best: quality engineers, machine-vision integrators, and production engineers.

The Gap We Close

Visual-inspection AI is too often blocked by the distance between the shop floor and ML engineering. Frameworks like YOLOv8, TensorFlow, and PyTorch deliver the accuracy - but setup, scripting, and GPU wrangling stay with specialists, and every iteration costs days.

One Guided Workflow

1. Collect images from camera or file
2. Classify - assign labels or bounding boxes
3. Generate dataset splits and training scripts
4. Train on GPU with real-time monitoring
5. Test with per-image result analysis
6. Export production-ready models

No command line. No scripting. No ML degree.

Under One Roof

- Three inspection paradigms, one GUI: object detection (YOLOv8), classification (TensorFlow / PyTorch), and anomaly detection - pick the right approach per project.
- Multi-project management: organize inspection tasks as distinct Products, each with its own datasets and builds.
- Automated Python scripts: reproducible, auditable, easy to hand off.
- Built-in data augmentation and train/val/test splitting.
- Multi-language UI: EN, DE, FR, NL, CS, Basque, ZH, and more.

Why It Matters

What used to be weeks of ML engineering becomes a repeatable in-house workflow. Your quality team iterates on a new defect the same morning it first appears on the line - without waiting on a data-science sprint.

Bringing AI-powered visual inspection to the factory floor - without requiring a data-science degree.

QuaVis Technologies GmbH - www.quavis.de