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Use and combine tabular, text, image, video and/or
audio data in your models on Below you will find a few selected use cases to illustrate how you can benefit from multimodal data in your projects.

> 90%

Faster than human processing

Almost infinitely scalable


Real Time Analysis


Lines of code to create

Detecting fraud can challenging in a dynamic global business environment with an overwhelming amount of traffic and data to monitor. Fraud detection is an ideal use case for machine learning with plenty of past success in many industries like banking and insurance.

Using AI to
detect fraud

multimodal data

Deep learning models are able to pick up on complicated, underlying patterns in large amounts of varied data, in a way that is beyond the scope of traditional statistical techniques and this creates an opportunity for pricing systems to have far greater insight.

You need some help to discuss your business case?

Contact our experienced
Sales Team now


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