Cross-CPP - A single point of access to multiple data streams
Key motivation of Cross-CPP project is to give cross-sectorial industries access to the great spectrum of sensor data coming from products from various industrial sectors (vehicles, smart home devices, etc.).
Lexa Texer predictive analytics
Machine learning / AI driven service desk to optimize Railway service operations: LexaTexer offers predictive analytics that help corporations organise decision-making by analysing documents with machine learning technology.
Airport Planning Times Prediction
Growth in the aviation transport domain has seen a constant increase between 5% and 6% annually over the last decade. Due to cost pressure and environmental constraints, rising traffic figures cannot be accommodated by expanding assets and extending existing infrastructure alone.