Spanish geospatial startup Xoople has closed a $130 million Series B led by Nazca Capital, the company announced Monday. The round brings total funding to $225 million, making Xoople the most capitalized company in the earth observation data category, according to the firm. CEO Fabrizio Pirondini told TechCrunch the company is now in "unicorn territory," though he declined to share the exact valuation.

Key Takeaways

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Seven years of silence, then a sensor deal

Seven years. That is how long Xoople spent building its system before anything shipped. No satellites launched. No paying customers. The company relied on publicly available data, including imagery from the European Space Agency's Sentinel-2 spacecraft, to develop and test its AI data pipeline with preview users.

That patience now has a price tag. Alongside the funding, Xoople announced a manufacturing agreement with L3Harris Technologies to build optical sensors for a proprietary satellite constellation. Pirondini told TechCrunch those sensors will produce "a stream of data two orders of magnitude better than existing monitoring systems." He declined to say how many satellites the company plans to build, or share any technical specifications beyond the fact that the sensors collect optical data.

Other investors in the round include MCH Private Equity, CDTI (a technology development fund backed by the Spanish government), Buenavista Equity Partners, and Endeavor Catalyst. Buenavista was Xoople's first private backer in 2021.

Distribution first, hardware second

The more interesting play is Xoople's go-to-market strategy. Before building its own satellites, the company embedded itself into Microsoft's Planetary Computer Pro platform and Esri, the world's largest geospatial software provider. That gives Xoople's data layer direct access to the environments where most enterprise and government GIS buyers already work.

"They laid the distribution pipes before having their own data supply," said Aravind Ravichandran, CEO of earth observation consultancy TerraWatch Space. "Google's head start on geospatial AI models is the benchmark they'll be measured against."

And that benchmark is the right one. Geospatial AI is becoming a first-order enterprise capability, not a niche specialty. Most enterprise AI deployments still cannot answer the question "where?" That was the argument Esri's CMO Marianna Kantor made in Forbes last week. The numbers back her up. Analysts peg the geospatial solutions market at roughly $1 trillion today, with projections north of $2.5 trillion by 2033.

But Xoople is selling a promise. Commercialization begins this quarter, the company says, with private preview customers that reportedly include government agencies and Fortune 500 firms. Whether those early adopters convert into paying contracts is another question entirely.

A crowded orbit with fresh constraints

Xoople enters a sector where incumbents are embattled and the startup has not yet faced those forces. Planet Labs, the largest commercial earth observation fleet operator, began withholding satellite imagery from the Middle East indefinitely last week at the request of the U.S. government. The "shutter control" order, retroactive to March 9, is a blunt reminder that satellite data companies operate at the discretion of sovereign regulators.

BlackSky, another competitor, just secured a $99 million contract from the Air Force Research Laboratory to build next-generation AI surveillance satellites. Planet carries a $900 million backlog and is doubling production of its Pelican satellites at a new Berlin facility. Vantor and Airbus round out the competitive set.

The commercial satellite imagery market was valued at $6.82 billion in 2025 and is projected to reach $15.29 billion by 2032. Government and defense buyers account for 48% of spending. Optical imagery, Xoople's target segment, holds 64% of the market.

The enterprise bet

Pirondini's pitch is that Xoople is not building another satellite imagery company. He wants to build "Earth's System of Record," a persistent, AI-readable data layer that tracks physical change across the planet and pipes it directly into enterprise workflows. Agriculture monitoring. Supply chain disruption. Insurance risk modeling. Disaster response.

If you have used Google Earth, you have a rough sense of the consumer version. Xoople is betting that the enterprise equivalent, one where every measurement is calibrated to scientific grade and updated continuously, is worth billions to the companies whose operations depend on knowing what is happening on the ground.

Whether seven years of stealth development and $225 million will be enough to catch companies that already have satellites in orbit remains the central tension. The investors backing Xoople, including the Spanish government through CDTI, are wagering that the data layer matters more than the hardware.

Pirondini will find out this quarter whether enterprise buyers agree.

Frequently Asked Questions

What is Xoople?

Xoople is a Spanish geospatial startup building a satellite constellation and AI data layer to track physical changes on Earth's surface for enterprise customers. Founded in 2019, it has raised $225 million total.

Who led Xoople's $130 million Series B?

Nazca Capital led the round. Other investors include MCH Private Equity, CDTI (a Spanish government tech fund), Buenavista Equity Partners, and Endeavor Catalyst.

What is Xoople's partnership with L3Harris Technologies?

L3Harris will build optical sensors for Xoople's satellite constellation. The sensors are designed to collect data that Xoople says will be two orders of magnitude more precise than current commercial monitoring systems.

How does Xoople differ from Planet Labs and BlackSky?

Xoople focused on enterprise software integration first, embedding into Microsoft and Esri platforms before launching satellites. Competitors like Planet and BlackSky built satellite fleets first and added enterprise tools later.

When will Xoople start selling its product?

Commercialization begins in Q2 2026. The company has been in private preview with government agencies and Fortune 500 companies while developing its system over seven years.

AI-generated summary, reviewed by an editor. More on our AI guidelines.

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