Case Studies

Proven Impact for the World’s Cutting-Edge Organizations

From 10 Minutes to 20 Seconds — University of Michigan Leverages Datasaur to Automatically Label Nuanced Behavioral Data

Using Datasaur, University of Michigan improved labeling time from 5–10 minutes to approximately 20–30 seconds per document. This led up to a 35x reduction in time spent toward labeling their videos’ transcriptions.

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Nightfall Achieves 2.5x Labeling Gains and 2.5x Fewer False Positives with Datasaur

Nightfall, after comparing 55 tools, chose Datasaur: gaining new QA functionality. This switch saved time and significantly boosted productivity.

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Ontra Achieves Milestone Accuracy in Legal Document Annotation with Datasaur’s NLP Labeling

Ontra partnered with Datasaur to transform their legal document annotation, cutting project timelines by 66% and improving data accuracy, specifically benefiting from Datasaur's NLP tools and seamless AWS integration.

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Navigate360 Increases Labeling Production by Multiples on Datasaur

Using Datasaur, Navigate360 improved text classification, boosting productivity, data quality, and scalability, allowing them to focus on digital threat detection for students while respecting privacy.

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Pastel Increases the Speed of Labeling with Datasaur

Using Datasaur's NLP labeling tools, Pastel improved data annotation efficiency, accuracy, and scalability. This collaboration allowed Pastel to focus on enhancing financial inclusivity and empowering African businesses.

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DeepScribe Leverages NLP to Automate Patient Documentation

A pioneering HealthTech company leverages NLP and data labeling to automate patient documentation.

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How Data Labeling with Datasaur can Save Your Team Time

Manually labeling data can be a massive time sink. Datasaur is proven to save valuable time in data labeling and management.

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Consensus Creates State-of-the-Art Datasets in a Few Months

Helping Consensus App to build an application that allows people to search for answers that are evidence-based.

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As seen on

"We compared Datasaur to 55 other tools, and in that exhaustive comparison -- we found Datasaur to have the most complete suite of tooling."

"Datasaur enabled us to automate our entire QA pipeline, we know what has been labeled (and the quality of each label) every 5 minutes without touching anything. It's all automated."

"Integrating the platform with our AWS environment has been seamless, providing us with scalable data labeling capabilities."

"We found the entire platform incredibly intuitive and easy to navigate. Onboarding was smooth and we were able to quickly adopt their automation tooling which was very important for us when considering a labeling platform."

"We [Consensus] had a very complex and specific set of annotation needs. Datasaur was able to address those needs efficiently and effectively all while maintaining the personal touch you would expect from a start-up."

"Our experience was pretty great. I enjoyed my time on Datasaur."

"Instead of manually creating each project, we’re able to automate the project creation. Instead of manually scrolling through hundreds of medical labels, we can rely on search functions. This has saved admins and team members a lot of time in their project workflows."