Categorize app crash reports with NLP

Get control over your app crash reports

Leverage a custom AI to analyze crash and bug reports from any data source.

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Why bother?

"I love going through our bug reports and assign the right category" – no developer, ever.

Crash reports are a double-edged sword: They are necessary, helpful to understand the problem, and they grant insights into structural issues that should to be prioritized. But they are also tedious to work with – especially if they come in hundreds.

As a response, one of our customers decided to train an AI model that could automatically tag crash reports according to the source of error, the topic, and the ideal recipient – whether that's engineering, product management, or external partners.

Trusted by leading teams

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Get the most out of crash reports - fast & at scale

Manual handling of crash reports
Automated handling and pre-processing
Information slips through the cracks
Detect important issues as they arise
No meta information on recurring issues
Your team gets the full picture of what to work on

Automate what you couldn't automate before

Levity starts where rule-based automation ends
The next wave of automation software

Fully customized

Train an AI according to your needs

Mechanical arm

Cost-efficient

Let machines do the heavy lifting

Male graduate

Scalable

Process thousands of reports in seconds

Rise above mundane tasks

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FAQs

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