Our Expertise for your business

The field of Artificial Intelligence is where we feel most comfortable. We create “intelligent” systems by extracting knowledge from data using cutting-edge Machine Learning techniques and we develop models capable of refining through deep learning of neural networks.

Through diagnostic-investigative techniques we are able to obtain qualitative and quantitative information on the environment and on objects placed at a distance from a sensor. We use photos or numerical data taken from aircraft, satellites, UAV-type drones or space probes such as the Copernicus Sentinel.

Predictive modelling uses mathematical techniques to predict future events or outcomes by analysing the patterns of certain input data. With these techniques we are able to predict and estimate the productivity of a plant, the sales of a company and even the performance of an athlete.

Through Computer Vision we are able to derive meaningful information from digital images and videos and take actions based on that information. From the identification of objects in the image, to the recognition of classes: the applications of these techniques are endless.

Working with data is something increasingly complex and difficult and very often the operational use of these requires extra help. Data Visualisation is therefore key in offering intuitive ways to understand the complexity described by the data.

Big data floods organisations and companies every day. Very often they are large in volume, difficult to manage and unstructured. Since our foundation we have the know-how to work with Big Data. This allowed us to develop methodologies and technologies to better manage these large amounts of data.

Pattern mining focuses on identifying rules that describe specific patterns within the data. Market-basket analysis, which identifies items that typically get bought together in purchase transactions, was one of the earliest applications of data mining. Today its applications are numerous.

Designing user experience implies taking care of their path during interaction with a digital product or service. We do this with the utmost attention to their requirements and latent needs, providing clear and easy-to-use interfaces.

With sophisticated techniques of Natural Language Processing we are able to understand unstructured textual data and obtain useful information about the presence and count of words, the modelling of the topics covered, the extraction of entities and many others.

We are not only interested in creating models, but also in making them understandable in an operational context. In this sense we create tools to analyse the functioning of the models we create.

Through the Design of Experiments (DoE) we are able to identify a restricted experimental test plan capable to statistically quantify the effect that a set of variables has on the phenomenon of interest, respecting the established limits of time and budget. The fields of application range from agri-food to chemical/industrial through the medical field.

The Digital Humanities tackle problems that require the conversion of human activity-related phenomena into measurable data, creating dedicated software solutions based on data science, to extract information from them. Our division creates solutions based on cutting-edge statistical and machine-learning techniques, using ‘human’ data such as textual, psychometric, behavioural and performance indicators. The main application areas include the automation of linguistic interactions, customer analysis and monitoring, and the creation of document analysis systems.