Predictia Intelligent Data Solutions S.L. is a software development company that creates custom, AI-powered solutions for analyzing and visualizing data, with a focus on the climate, weather, and health sectors. Founded in 2008 as a spin-off from a machine learning research group at the University of Cantabria in Spain, the company has deep academic roots in meteorology and climate science. This expertise allows them to participate in major international initiatives like the Intergovernmental Panel on Climate Change (IPCC) and the Copernicus Climate Change Service. The company’s B2B model centers on developing bespoke software solutions that cover the entire data lifecycle, from management and storage to advanced modeling and interactive web-based visualizations. Predictia serves a diverse client base that includes international agencies, universities, public administrations, and private corporations. They employ an Agile development framework to adapt to client needs throughout a project’s course. Their services provide solutions for various timescales, including short-term weather forecasting, seasonal predictions, and long-term climate projections. By combining physical models with statistical techniques and artificial intelligence, they deliver high-resolution and accurate products that support informed decision-making for climate change adaptation and mitigation. Predictia maintains a strong commitment to research and development, participating in regional, national, and international R&D projects, which has earned them the Innovative SME Seal from the Spanish Ministry of Science and Innovation. Their projects range from creating an interactive atlas of climate change and developing tools for health data analysis to building systems that evaluate data quality and model the impact of storms on public transport. Keywords: climate data solutions, artificial intelligence, software development, data visualization, machine learning, weather forecasting, climate change adaptation, health data analysis, data modeling, environmental data, seasonal forecasting, climate projections, geospatial data, interactive web interfaces, deep learning, meteorology, remote sensing, data management, scientific data solutions, climate risk assessment
