For years, space data companies have promoted the idea that private businesses would become their biggest customers. In reality, most of their revenue has come from governments, defense agencies, and research institutions.
Now, with artificial intelligence driving demand for massive amounts of high-quality data, one Spanish startup believes the private sector is finally ready.
Barcelona-based Xoople wants to position itself as a key supplier of what AI companies call “ground truth data” — highly accurate real-world information used to train deep learning systems.
Building the data layer for AI’s understanding of Earth
Founded in 2019 by CEO Fabrizio Pirondini, Xoople has quietly spent years building the infrastructure needed to deliver satellite data directly into enterprise software ecosystems.
Instead of rushing to launch satellites immediately, the company focused first on building its data processing architecture, partnerships, and cloud integrations. Much of its early work relied on publicly available satellite data from government programs such as the European Space Agency’s Sentinel missions.
This approach allowed the company to develop its analytics capabilities before owning its own space hardware — a strategy that differs from many competitors who start with launches first and build software later.
Fresh funding to move from software to space hardware
Xoople recently secured $130 million in a Series B funding round led by Nazca Capital. Other investors include MCH Private Equity, Buenavista Equity Partners, Endeavor Catalyst, and Spain’s government-backed innovation fund CDTI.
This brings the company’s total funding to around $225 million.
While Pirondini did not disclose the company’s exact valuation, he indicated that it has crossed the $1 billion mark — putting it in unicorn startup territory.
The new capital will help Xoople take the next major step: building its own satellite constellation designed specifically for AI-grade Earth observation data.
Partnership with L3Harris signals serious ambitions
As part of this effort, Xoople has partnered with U.S. aerospace and defense contractor L3Harris Technologies to develop advanced optical sensors for its satellites.
L3Harris is known for producing sophisticated space imaging systems, including high-resolution payloads used for both commercial and defense applications.
According to Pirondini, the sensors being developed for Xoople could deliver data quality dramatically better than existing monitoring platforms, potentially improving resolution, accuracy, and update frequency.
However, the company is keeping most technical details confidential, including:
- The number of satellites planned
- Launch timelines
- Orbital strategy
- Sensor specifications
This secrecy is common in the competitive Earth observation sector, where data quality often determines commercial success.
Entering a competitive satellite data market
Xoople is not entering an empty market. Established Earth observation companies like Planet, BlackSky, and Airbus already operate satellite fleets delivering imagery and analytics.
These companies have spent years building government relationships, especially in defense and intelligence sectors.
What makes Xoople different is its focus on embedding data directly into enterprise platforms rather than selling imagery as a standalone product.
A distribution-first strategy
Instead of waiting for its own satellites, Xoople prioritized distribution channels early.
The company integrated its data services into platforms such as Microsoft’s cloud ecosystem and Esri’s geographic information systems (GIS) software — tools already widely used by corporations and governments.
Industry analysts see this as a smart move.
By building distribution partnerships first, Xoople is essentially preparing the pipelines through which its future proprietary data will flow.
This reduces the risk that many space startups face: building expensive satellites without guaranteed customers.
Real-world applications beyond defense
While defense contracts dominate the satellite data industry today, Xoople is targeting commercial use cases such as:
Infrastructure monitoring
Companies could track construction progress, detect delays, and monitor large industrial projects remotely.
Agriculture analytics
Satellite imagery combined with AI could help agribusiness companies monitor crop health, irrigation needs, and disease risks.
Supply chain visibility
Manufacturers could track ports, shipping routes, and logistics hubs to identify disruptions earlier.
Disaster response
Governments and insurers could quickly assess flood damage, wildfire spread, or earthquake impact.
These applications align with a growing trend where geospatial data is becoming part of everyday business intelligence rather than just a specialized tool.
The AI angle: building a “world model”
Perhaps the most ambitious part of Xoople’s vision is its long-term goal to help build what Pirondini calls an “Earth System of Record.”
This concept involves creating a continuously updated digital representation of the physical world that AI systems can use to understand global activity.
This idea is similar to efforts by major tech companies working on geospatial AI — systems that combine satellite imagery, mapping data, and machine learning to model how the world changes over time.
If successful, such systems could eventually allow AI to:
- Predict infrastructure risks
- Anticipate climate impacts
- Optimize agriculture output
- Improve urban planning
- Detect economic activity patterns
The real challenge ahead
Despite its strong funding and partnerships, Xoople still faces major challenges.
Launching and maintaining satellites requires huge capital investments. Competitors already have operational constellations and established customer bases.
Success will likely depend on whether Xoople can truly deliver better data quality — something that could justify switching costs for enterprise customers.
Another key decision will be whether the company focuses more on:
- Selling raw satellite data
- Providing AI analytics tools
- Or building full enterprise intelligence solutions
The balance between these approaches could determine whether Xoople becomes a data supplier or a full-stack intelligence platform.
A sign of where the space economy is heading
Xoople represents a broader shift happening across the space industry.
The first generation of commercial space companies focused on launching satellites. The next generation is focused on making the data useful, accessible, and integrated into everyday business operations.
As AI systems become more dependent on real-world data, companies that can provide accurate, continuously updated Earth data may become critical infrastructure providers for the digital economy.
If Xoople succeeds, it won’t just be another satellite company — it could become part of the data backbone that helps AI understand the physical world.