We provide support for projects. We provide project consultancy and monitoring services by means of joint working sessions that allow businesses to monetise and exploit available data through knowledge: to improve internal operations, provide their customers with a more efficient service or even explore new lines of business.

Industrial research projects in the field of science data. For example, the development of predictive models based on data from financial institutions or the development of a content-based TV recommender system.

We offer customised training. We conduct intensive in-house courses for companies in which their employees are trained to develop and exploit opportunities to make more intensive use of the data companies have at their disposal.

Predictive model of biomechanical pathologies diagnosis

cat. Projects

Invalcor is a center specialized in the functional assessment of the locomotor system that by means of advanced technology objective aspects such as the measure of the mobility, strength, power, resistance, or fatigue of a damaged body region. The company is interested in designing a prediction system that, based on the historical data of its activity, attends the diagnosis work to doctors.

Measuring collaboration in organisations

cat. Consulting

This project consisted of the development of a tool for learning about the different relationships between the members of an organisation and their areas of work. The group-level analysis provides a real-time diagnosis and makes it possible to take actions to improve and streamline processes.

Model for predicting the technical quality of images

cat. Projects

Image search engines receive huge volumes of images every day, but very few of these have any impact on the internet. Of course, the aesthetics and technique of images are key to ensuring they have an impact on the internet and are not overlooked.

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Model for estimating the click-through rate of an ad

cat. Projects

The click-through rate (CTR) is a ratio that represents how often people click on a specific digital resource, such as a blog entry, ad or hotel promotion. Accurately estimating CTR is critical for determining the price we are willing to pay for ads or deciding on the user segment we want to target. We therefore designed a real-time CTR prediction algorithm for an online travel company based on the analysis of millions of high-dimensional data items representing its customers’ behaviour.