MaxSpotter vs SwiftSwim

MaxSpotter optimizes cloud workloads and reduces bills up to 90%.

MaxSpotter dynamically allocates spot instances for maximum capacity with minimum costs and interruption rates among different instance types, regions and availability zones. MaxSpotter integrates customer’s infrastructure with minimum requirements of user access policies and automates all the lifecycle management of mixed instance types (on-demand, spot) seamlessly. Thus, Maxspotter continuously optimizes cloud workloads and provides up to 90% cost savings by utilizing spot instances without any service interruption.

Location: Ankara, Turkey

The first artificial intelligence powered mobile application for swimming

SwiftSwim relies on Machine Learning algorithms to deliver unparalleled accuracy in identifying your swimming styles, performance and energy expenditure.
It recognizes your movements, learns from your own particular swimming style which helps you improve by providing accurate reports of your swim training! All you need to do is start the app, get in the water and train. This is the next step in intelligent wearable devices.
SwiftSwim uses sensors found in Smartphones for its measurements. In specific: the gravity and acceleration sensors as well as the gyroscope and magnetometer. This four instruments each capture data in a three dimensional axis. This means that for every hour that you swim, SwiftSwim captures over 5 Million data points, which translate into different metrics designed to enhance your swim training