Case Study: a fitness tech startup boosts app performance with InData Labs' deep neural network development

Fitness Tech Startup boosts app performance by 19% with InData Labs

The customer, a fitness tech startup, sought to enhance its at-home workout app with advanced AI capabilities but lacked an in-house data science team. They contacted InData Labs for on-demand neural network development to improve the quality and speed of its activity recognition and to create custom error-detection algorithms.

InData Labs developed convolutional neural networks (CNNs) for activity recognition and error detection. The solution resulted in a 45% improvement in activity recognition quality, a 15% decrease in false-positive detections, and a 19% boost in overall app performance. The vendor also ensured the neural networks were optimized for cross-platform use on various mobile devices.