Quality Inspection
Train models to recognize the defects, tolerances, and product states that are specific to your line.
Full cycle computer vision Collect, Label, Train all on the edge
Visual Intelligence is the only end-to-end vision ML platform that fits in your pocket. Allowing you to use the principal of gemba to reduce waste and increase accuracy.
Image Classification
Collect category-specific images, organize them into labeled datasets, and train classifiers directly where the model needs to perform.
Object Detection
Capture images, label objects with bounding boxes, and train detection models for the specific people, parts, products, or defects you need to find.
Visual Language Models
Build image-and-text training data for visual question answering, inspection notes, and scene understanding workflows tied to your real environment.
Use Cases
Do not wait on models that almost understand the job.
You have harder, differentiating problems to solve than waiting for a generic computer vision model to predict what matters. Build the training loop around your environment, your edge cases, and the decisions your team actually needs to make.
Asset Verification
Identify equipment, parts, labels, and field conditions without waiting for clean lab data to catch up.
Safety Checks
Adapt detection to the real lighting, angles, PPE, tools, and workflows present where the work happens.
Visual Documentation
Pair images with prompts, answers, and notes so visual language models can support inspection and reporting.