Streem.ai's Labeler

Streem ai allows you to tap into an ocean of unlabelled data in your organization and unleash the power of supervised learning algorithms.

How It Works

Streem.ai’s Labeller is built to automatically label, visualize, and annotate large amounts of time series data. The tool is built for data scientists, analysts or anyone struggling to label time series data to use for building and deploying models across use cases.

Step 1

Upload your unlabelled data as a .csv file

Step 2

Find patterns, detect baselines and anomalies with the Labeller

Step 3

Refine the labels by adding relevant contextual tags

Step 4

Click on Retrain, and the Labelling engine will improve the results based on your feedback

Step 5

Download your newly labelled dataset!

Reserve your exclusive early bird ticket to the Labeller Sneak Preview event.
Attendees get a free limited trial, so don’t miss out!
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