Open data: Different public institutions, such as the INE, open data government portals or others, offer the possibility of using data that we integrate into our models in order to improve their accuracy thanks to the additional information that makes more sense of each client´s data.

Public entity data: Data such as public transport card user movements, data on training, courses given, educational offerings, qualifications; vehicle mobility data; public health data; tourism data; infrastructure and telecommunications data; etc

Internet of Things (IoT): Data from machines, motion and shock sensors, humidity or vibration meters, radio frequency identification (RFID), code readers, GPS devices, APP screenshots, etc.

Improve the performance of your services by knowing the variables that modify their value. We analyse changes in supply and demand, events and other external factors to help you adjust the price of your tourist services according to the circumstances.

Get in-depth knowledge of citizens’ behaviour. We identify and analyse the characteristics and behavioural habits of the citizens for the development of a public service offer adjusted to their real needs.

We predict the pollution levels of large cities, based on the analysis of historical pollution data and the incidence of external variables, in order to assist the public administration in making decisions regarding mobility, public health and environmental alternatives.

Harness the potential of data science to optimize urban mobility. We analyse the data of public and private transport users to identify the busiest routes, starting points and destinations minute by minute. Based on this demand, we help in the adjustment of resources, the management of exceptional events and the identification of infrastructures.

It efficiently administers public resources, setting the citizen as the protagonist. From a Research, Development and Innovation perspective, we explore the behavioural patterns of the citizens for the development of optimised services in health, infrastructure, mobility and education.

Optimize your response to users by automating the management of complaints, requests and comments. We apply Machine Learning and Artificial Intelligence techniques to classify and organize unstructured information, reducing potential errors in its processing and ensuring that the procedures are solved under objective parameters.