Xoople raises major Series B to transform Earth data access
Spanish startup Xoople has closed a €112.6 million Series B funding round to accelerate the development of its AI-ready Earth data infrastructure. The company aims to make complex geospatial and satellite imagery data as accessible to developers and enterprises as modern cloud data platforms, unlocking new applications in climate intelligence, agritech, and infrastructure monitoring.
Building an AI-native Earth data platform
Xoople is focused on solving a long‑standing bottleneck in the Earth observation ecosystem: transforming raw imagery and sensor feeds into structured, analysis‑ready datasets that can be consumed directly by machine learning models and AI algorithms. Its platform ingests data from multiple satellite constellations, aerial sources, and ground sensors, then standardizes, labels, and indexes that information in a unified environment.
The new capital will be used to expand Xoople’s data processing infrastructure, grow its engineering and data science teams, and extend coverage to more regions and verticals. By offering APIs and tools that integrate with mainstream cloud computing and AI development stacks, the startup wants to reduce the time it takes to move from raw Earth data to operational insights.
Targeting climate, agriculture and infrastructure markets
Demand for high‑quality, near real‑time Earth data is surging as governments and enterprises face mounting pressure to measure and manage climate risk, optimize agricultural yields, and maintain critical infrastructure resilience. Xoople positions its platform as a foundational layer for use cases ranging from wildfire risk modeling and drought monitoring to supply‑chain visibility and urban planning.
By abstracting away the technical complexity of handling petabyte‑scale imagery, the company hopes to enable software teams that are not geospatial specialists to build products powered by Earth observation data. The Series B round signals growing investor conviction that AI‑ready infrastructure for physical‑world data will be a key pillar of the next wave of data-driven applications.