Insuring the Insurance Industry.

Futureproof your AI/ML projects for the Insurance domain with an open-source data labeling solution that can cater to a wide spectrum of use-cases.

Explore LabelStudio on GitHub


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Intelligent Claims Adjustment 

With Label Studio, you can clean raw data to train models that can help investigate insurance claims by combing data from claimants, witnesses, police records, and medical history. Create AI models to determine liability and coverage of each policy accurately and with ease.

Our community is seeing an uptick in projects that allow insurance pros to predict risks accurately and determine costs associated with policies. Utilize Label Studio’s multi-domain labeling to create a data model that incorporates audio, image, and textual data.

Get Started With LabelStudio

 

Insurers mentioned AI as the top “game-changing” technology in the 2020 Gartner CIO Survey. - Gartner Tools Report

 

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Automated Underwriting

Our community is seeing an uptick in projects that allow insurance pros to predict risks accurately and determine costs associated with policies. Utilize Label Studio’s multi-domain labeling to create a data model that incorporates  audio, image, and textual data. 

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Digital insurers require the most complex blend of AI tech that firms have ever had to deal with. - Forrester EA Report

 

Smart Policy Making

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Introduce hyperautomation in creating the next best offer for a policy holder by leveraging the power of AI/ML. With Label Studio, create models that will allow data scientists to predict the best offer that can be made to existing customers.

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