The founders of alitiq are passionate about combining data science and meteorology. They combine both disciplines in a generic AI model for analysing and predicting specific processes: the alitiq engine. The model is able to link meteorological data with any other process data. With the help of machine learning methods, relationships between meteorological data and customer data are recognised, mathematically linked and quantified. This makes the processes underlying the data predictable.

The alitiq team is convinced that its approach and technology contribute to building a more sustainable economy. Based on alitiq forecasts, companies will be able to plan ahead and use resources more sparingly. For example, they will be able to reduce CO2 emissions.

Companies are enabled by alitiq to quantify the impact of the weather on their business success and thus have the opportunity to manage these influences preventively. In this way, they increase their weather resilience in the short term and their climate resilience in the long term. In addition to the risks, you will also recognise the opportunities presented by weather and climate and increase your business success.