Use cases

Levity is the right tool when it comes to unstructured data: If your process requires you to deal with images, text, or documents, that's where other tools will go on strike.

With that out of the way, here are some examples for inspiration.
Text analysis
Categorize email by content
Customer Service, Operations

Categorize email by content

Train your custom AI model to automatically analyze thousands of emails, based on historic patterns.
Text analysis
Categorize app crash reports with NLP
Product

Categorize app crash reports with NLP

Leverage a custom AI to analyze crash and bug reports from any data source.
Image analysis
Insurance claims processing
Operations, Product

Insurance claims processing

Use Levity to examine claims and automate documentation even before they reach your team.
Image analysis
Visual quality inspection
Operations

Visual quality inspection

With Levity, you can identify defects in your production lines early so you can achieve high-quality standards at a fraction of the cost.
Image analysis
Auto-tag real estate images
Operations, Product

Auto-tag real estate images

Train your custom AI model to automatically analyze and detect thousands of images such as room type, home features, furniture quality, and more!
Document analysis
Tag email attachments
Operations, Customer Service, HR

Tag email attachments

Sort your files and save time by tagging your email attachments with Levity.
Text analysis
Categorize support tickets
Customer Service

Categorize support tickets

Levity allows your customer service agents to spend more time on customers by automatically tagging incoming service requests.
Text analysis
Analyze text responses of surveys
HR, Marketing, Product

Analyze text responses of surveys

Levity can segment your customer feedback based on the sentiment and can uncover underlying patterns.
Text analysis
Analyze text messages
Operations, Marketing, HR, Customer Service

Analyze text messages

Levity sorts through incoming SMS messages, giving your employees more time with customers.

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