Predict.io turns smartphones into context sensors to help developers target moments rather than statistics.
Business Model: B2C
Revenue: $0
Employees: 11-50
Address:
City: Eibelstadt
State: Bayern
Zip:
Country: Germany
It is hard to engage app users. Timing is everything. Sending a push in the wrong moment gets you uninstalled. Using smartphone sensors to understand user context is difficult. The company gives developers an SDK that provides user context. The SDK is installed within minutes. It only consumes 0.2% battery per hour. It shows higher accuracy than OS embedded Activity APIs. And it works across platforms iOS, Android, Phonegap. Once activated predict.io constantly reads the sensors (accelerometer, barometer, gyroscope, etc.). The data is pre-processed directly on the device. When a pattern is recognized predict.io fires a "callback". The developer can trigger any activity within our outside of his app based on our "callback". Once activated we constantly read the sensors (accelerometer, barometer, gyroscope, etc.). We pre-process the data directly on the device. When a pattern is recognized we fire a "callback". The developer can trigger any activity within our outside of his app based on our "callback".
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Announced Date | Company | Transaction | Money Raised |
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Announced Date | Transaction | Number of Investors | Money Raised | Lead Investors | 8/2015 | Grant | 1 | $1.5M |
EASME - EU Executive Agency for SMEs EASME - EU Executive Agency for SMEs |
7/2014 | Seed Round | 8 | $680.3k |
T-mobile Deutsche Telekom BASF ZEISS Group Bosch Daimler High-Tech Grunderfonds KfW Siemens BASF Bosch Daimler High-Tech Grunderfonds KfW Siemens T-mobile Deutsche Telekom ZEISS Group |
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