Case Study: Predict.io launches award-winning parking prediction app with Arbisoft

A Arbisoft Case Study

Preview of the Predict.io Case Study

Predict.io launches award-winning parking prediction app and boosts revenue with Arbisoft

Predict.io, a Berlin-based startup focused on offline data management, sought to develop an app that could accurately detect a vehicle's parking behavior using smartphone sensors. They partnered with Arbisoft for custom software development to build this solution and launch it quickly.

Arbisoft developed a native Android app and optimized SDKs that used machine learning algorithms to process real-time sensor data without being resource-intensive. The solution included critical functionality such as intent labelling and Points-of-Interest selection. As a result of Arbisoft's work, Predict.io successfully launched the award-winning app, which generated a significant immediate boost in revenue and received prestigious industry awards.


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