New York, May 9 2016 – predict.io launches into public on May 9 at TechCrunch Disrupt with a Software Development Kit (SDK) to target efficiently app users.
predict.io allows app developers to identify key moments in a users journey. The SDK extracts structured data from different sensors on the smartphones, like Accelerometer, Gyroscope, Barometer, Wifi or GPS to predict user’s behavior. The SDK is trained with learning algorithms and turns sensor data into ready-made status updates in real-time. The Berlin-based predict.io’s mission is to help developers to trigger relevant push notifications without spending months of development. The predict.io SDK is free to download for up to 50.000 licenses.
“Modern smartphones produce up to 1 GB of sensor data every hour. Your watch, your thermostat, your phone, your car and your jacket will have built-in sensors and CPUs in the near future. But making sense of all the data in real-time is a huge technical challenge,” the Founder and Chief Excitement Operator (CEO) Silvan C. Rath said.
The technology of predict.io can identify if your phone is in a vehicle. A messenger app can use that to not bother the user while driving, which is a huge road security benefit. It would also know that you arrived in a specific location. If your credit card is being used in another location, it can alert the owner. Maybe he wants to review the transaction that just happened miles away from him? Or why do travelers need to remember to checkout from a train trip? The phone already knows the user has stepped out of the train. Same goes for paying your parking fees with the phone. The smartphone phone already knows when the user parked or started driving again. With the predict.io SDK no app needs to bother the user pressing buttons any longer.
predict.io pre-launched into Developer Preview in March at SxSW in Austin, Texas and won the Smart Mobility Pitch Event (SMPE) in Delf in the Nederland. The official launch will occur at TechCrunch Disrupt New York on May 9th.