Figure Eight Workflows

A simple interface to build and automate multi-step data annotation projects so you can high quality training data faster and cheaper than ever before.

Here’s how it works

Workflows allows customers to build and automate multi-step data annotation projects with ease. The simple graphical interface ensures no coding skills are required to create a workflow consisting of multiple jobs.

Customers now have access to a real data pipeline solution that reduces latency and increases efficiency via automated data routing. Break down complex data annotation projects into smaller, easier tasks, then enjoy greater control over customization of job designs and contributor channels at each step.

Even better, add models to your workflows with Machine Learning Assisted Data Labeling (MLADL) to further streamline your data pipeline. Harness predictions from MLADL models to deliver large quantities of annotated data up to 20 times faster, at up to 50% lower costs.

Plug and Play

Workflows uses a graphical user interface to enable anyone regardless of skill to configure operators with routing rules eliminating reliance on limited technical resources.

Automation and increased efficiency

Automate data routing and the aggregation of results in a single report, eliminating the latency caused by manual labor and jobs that need to be run sequentially.

Enhanced quality control for annotation projects

Easily break jobs into small tasks with no coding necessary, and complete jobs faster by automating the data routing between operators, reducing the rate of human error. Optimize the quality of your annotations through the ability to customize and target contributors for every task.

Lower Costs at Scale

Combine human annotation with machine learning to deliver large volumes of annotated data up to 20 times faster at up to 50% lower cost, easily allowing you to scale your AI initiatives. Find out more.

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