We are always eager to work in new fields and sectors.
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Our expertise
The skills we provide are cross-disciplinary and unite various areas of data science, drilling down onto specific application fields.
Artificial Intelligence, Machine & Deep Learning
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.
Geospatial Analysis & Remote Sensing
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
Predictive modeling uses mathematical techniques to predict future events or outcomes by analyzing 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.
Computer Vision & Image Analysis
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.
Data Visualization & Analytics
Working with data is something increasingly complex and difficult and very often the operational use of these requires extra help. Data Visualization is therefore key in offering intuitive ways to understand the complexity described by the data.
Big Data
Big data floods organizations and companies every day. Very often they are large in volume, difficult to manage and unstructured. We have the know-how to work with Big Data since Kode was born and this has allowed us to develop methodologies and technologies to better manage these large amounts of data.
Pattern Mining
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.
UX/UI Design
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.
Natural Language Processing
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 modeling of the topics covered, the extraction of entities and many others.
Synthetic Data & Explainable AI
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 analyze the functioning of the models we create.
Fields of application
Our interdisciplinary team is able to work in multiple application contexts thanks to the experience gained in 10 years of activity.
Healthcare
Imaging, biosensors, omics science wearable sensors: AI has become an integral part of healthcare, providing a range of solutions to improve the quality of care. From diagnostics to drug discovery, AI is helping medical professionals make decisions faster and more accurately. In addition, AI is being used in research to develop new treatments and therapies, as well as to assist in the analysis of patient data.
Industry 4.0
AI technology has revolutionized the way industries operate, and has been increasingly adopted in different industries to improve efficiency and productivity. It can be used to maximise yield, reduce waste and optimise energy consumption, because it has the potential to reduce human intervention and labor costs increasing accuracy and speed in process execution. AI has become an integral part of many industries, and its applications are expected to expand further in the future, so companies should explore the potential of AI and take advantage of the benefits it can offer.
Geospatial & Mobility
Geospatial solutions offer powerful insights into the physical world by combining geospatial data with technology. From tracking natural resources and infrastructure to helping businesses make informed decisions, geospatial solutions are becoming increasingly popular. By leveraging geospatial data, you can analyze and visualize the location and patterns of the physical world.
Geospatial solutions can be used for a variety of applications such as asset tracking, route optimization, and environmental monitoring. With the help of geographic information systems (GIS), you can create maps and 3D models that provide an in-depth understanding of an area.
Sports Analytics
Optimizing performance is the essential core of any sport. Through our expertise in Sports Data Science we take performance to the next level. We develop algorithms for training load monitoring and injury forecasting, combining data from cutting edge IOT sensors.
Computer Vision
Through Computer Vision we are able to derive meaningful information from digital images and videos and take actions based on that information.
Kode Chemoinformatics
Improve your R&D and regulatory activities with in-silico prediction of physical and toxicological properties, and many other machine learning based applications for the management of chemical and toxicological data.
