Predictia is a spin-off from a machine learning research group at the University of Cantabria, specialising in climate, health, remote sensing and Industry 4.0 domains.
It offers software solutions tailored to the full data lifecycle—from large-scale data management, storage, modelling and visualisation to interactive, web-based user interfaces—enabling extraction of key information for diverse challenges. More than fifty clients, including major universities, international institutions, public administrations and private companies, have relied on its services.
Research and development form a central pillar of Predictia’s structure, driving the competitiveness of its products and services. The organisation actively participates in regional, national and international R&D calls, including the European Union’s Horizon Europe programme. Its innovation credentials are recognised by the Innovative SME Seal awarded by Spain’s Ministry of Science and Innovation.
Staffed by specialists with academic links in climate and meteorology, Predictia contributes to significant global initiatives such as the Intergovernmental Panel on Climate Change (IPCC) and the Copernicus Climate Change Service. This expertise enables Predictia to deliver a wide array of weather- and climate-related solutions—from high-resolution weather forecasts and seasonal forecasts to regional climate projections.
The organisation adopts an Agile development framework that allows responsive adaptation to client needs and evolving project challenges.
In terms of sustainable finance, Predictia’s climate and weather modelling capabilities support informed adaptation and mitigation decision-making. Though not explicitly focused on finance, its tools and data platforms can be leveraged by sustainable finance practitioners to assess climate risk, inform resilience investments, and align strategies with environmental trends—thus providing a valuable resource for those integrating climate analytics into financial decision frameworks.
