Spanish startup Xoople raised $130M for Earth mapping for AI

Spanish startup Xoople closed a Series B round of $130 million. The goal is ambitious — to create an orbital constellation of satellites for systematic mapping of Earth for artificial intelligence systems. Simultaneously, the company announced a strategic partnership with American aerospace giant L3Harris: it will develop and manufacture sensors for Xoople satellites.

The demand for current geospatial data comes from several rapidly growing AI directions. Climate monitoring systems, autonomous logistics, precision agriculture, urban planning, asset insurance — all require not archived maps, but fresh, accurate data about Earth's surface, updated either in real time or at least daily. Traditional geospatial data providers with weekly and monthly update cycles cannot meet this demand.

This is where Xoople sees its niche. The key idea — design the product for AI from the start. The company builds small remote sensing satellites, but does not plan to sell images as such.

Data will be structured and standardized for direct delivery into ML pipelines: without manual annotation, without lengthy processing. Xoople positions itself not as a space photo bank, but as an infrastructure data provider for AI agents and analytical platforms. Partnership with L3Harris inspires confidence.

L3Harris Technologies is an American defense and aerospace giant with annual revenue around $20 billion, producing intelligence, navigation, and communication equipment for the US Army, NASA, and allied states. The participation of such a player in sensor manufacturing is both a guarantee of engineering standards and a potential bridge to government and defense customers, for whom component origin is critical. The size of the round — $130 million — looks convincing even against the backdrop of venture market cooling.

Spanish NewSpace until recently remained in the shadow of British, German, and French competitors. Xoople is changing this calculus. Competition in the sector remains serious: Planet Labs operates a fleet of several hundred satellites with daily coverage of Earth's entire surface.

But Planet Labs is primarily a supplier of images; Xoople is betting on something different — on data prepared specifically for machine consumption. The company will direct attracted funds toward satellite constellation production and launch, ground data storage and processing infrastructure, and hiring. Specific timelines for first launches are not named in official statements.

For the AI industry, the Xoople deal is yet another confirmation of an important trend. Computational power is growing faster than the quality and freshness of data for training and inference. High-resolution geospatial data with high update frequency remains a scarce resource in many industries — from insurance and agriculture to military analytics and climate research.

Whoever creates reliable infrastructure for their collection and delivery into ML systems will be in an advantageous position. This is exactly what Xoople is banking on.