The NEOTEC Woman project has been a catalyst for strengthening the AI backbone of EarthPulse’s SPAI platform. Through its support, we advanced active learning workflows, enabling the labelling tool to improve with minimal supervision and effort. Data fusion techniques were developed to combine Earth Observation of diverse sensors and also and non-EO datasets, enriching insights across industries. Natural Language Processing (NLP) modules now allow intuitive interaction and explainability, while multitask models based on foundation models provide scalable, flexible intelligence across diverse use cases. This project empowered EarthPulse to deliver frictionless analytics, bringing cutting-edge AI closer to end-users and enhancing decision-making for sustainability and climate resilience.

The NEOTEC Woman project has been a key driver to reinforce the AI foundation of EarthPulse’s SPAI platform. Thanks to its support, active learning workflows were refined in the labeling tool that enable the system to improve with minimal supervision. Data fusion techniques were implemented to integrate Earth Observation data from different sensors and also non‑EO data, expanding the value of the analyses. Natural Language Processing (NLP) modules facilitate interaction and explainability, while multitask models based on foundation models provide flexible, scalable intelligence. This project brings advanced analytics closer to users, optimizing decision‑making for sustainability and climate resilience.