VisionFlow
An automated machine learning workflow management tool for data collection, cleaning, labeling, review, training, and operational monitoring, specifically designed for IT and business departments without professional ML expertise.
The accuracy of AI systems is our mission.
Empowering our customers
We firmly believe that customer involvement in data refinement and optimization is the most effective way to continuously enhance AI system performance.
Human centric workflow
As the ones most familiar with business processes, customers and operators participating in the AI system performance evaluation process can effectively shorten the feedback cycle.
Easy to use
VisionFlow is designed for IT and business professionals without a deep machine learning background, enabling effortless participation in AI system optimization with ease and confidence.
End to End Industrial Vision AI Platform
Why do 80% of AI projects fail?
Data quality determines everything.
The quality of the model determines system performance, while data quality is the key to ensuring model quality. In many specialized industrial applications, high-quality datasets are difficult to find on the market, and collecting data on-site at customer locations is both sensitive and challenging. Often, companies either end up gathering large amounts of low-quality, repetitive data or struggle to obtain enough data altogether. Additionally, most generic MLOps products are not designed for enterprise business departments, leading to a disconnect between data, models, and system performance—ultimately failing to meet customer expectations.
VisionFlow provides customers with an efficient machine learning data workflow management system, seamlessly integrating with the VisionCore system to empower business departments in the continuous optimization of AI systems. Whether improving accuracy in existing scenarios or meeting the demands of new applications, VisionFlow helps users achieve their expected goals.
Main features
Data Collection
VisionFlow supports rule-based automated data collection, enabling the automatic filtering of redundant or similar data and collecting data only when specific conditions are met. This significantly enhances data quality at a low cost.
Data Labeling and Review
VisionFlow supports various types of machine vision data annotation, accommodates multiple roles in the workflow, and provides an easy-to-use review function to ensure data labeling quality.
Model Training
VisionFlow supports one-click training and one-click deployment, allowing users to operate it with only basic machine learning knowledge.
Regression Test
VisionFlow provides regression validation and review functions, enabling users to easily verify inference results from the VisionCore system. In case of false positives, the misclassified data can be directly collected and fed into the annotation, review, training, and deployment workflow, significantly reducing the time required for feedback and improvement.
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