Establish and operate fully transparent annotation workflows
Distribute annotation tasks and assignments among project contributors and teams, using timeline calculations and automatic productivity matrices
Optimize annotation workforce productivity, with granular data collected for every click of every annotator. See time spent per each dataset, label and action
Our expert advice
Having worked with millions of data items, we have first-hand knowledge of why logical and comprehensive workflows are crucial for data preparation processes. Here are a number of reasons:
Powering vision AI across industries
Powering real-time communication between managers and annotation workforce in retail, bringing applications to production in cashierless stores, warehouses, waste management facilities and more
Drones & Aerial Imagery
Helping labeling teams in the remote sensing space gain better control of their data preparation processes, for higher accuracy in visual inspections, object tracking, land surveying, safety monitoring, etc.
Enabling robots to perform a growing scope of industrial and domestic applications, by supplying data preparation teams with optimized workflows for machine vision development, training and deployment
Pushing forward the evolution of autonomous vehicles and smart mobility systems, with real-time feedback surrounding dataset accuracy, labeling efficiency and workforce performance
Advancing vision applications that monitor crops, livestock, and aquaculture health, by optimizing annotation workflows for minimal manual intervention and maximum data accuracy
Media & Content
Enabling developers of sports analysis, content moderation, or image enhancement applications gain full transparency into the productivity and quality of their data preparation teams
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Manage, collaborate, distribute and utilize your data operations, all integrated seamlessly and managed via single point of access.
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