Xoople Raises $130M to Map Earth for AI, Aiming to Become 'System of Record'

Spanish startup's Series B funding round led by Nazca Capital signals growing interest in satellite data for deep learning models.

Apr. 11, 2026 at 6:21am by

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A high-end, photorealistic studio still-life photograph featuring a polished, metallic satellite model with intricate details floating on a clean, monochromatic seamless background. The dramatic studio lighting and deep shadows conceptually represent the precision data and satellite technology that Xoople is developing to power the future of AI-driven geospatial analysis.Xoople's satellite technology aims to provide the precision data needed to power the next generation of AI-driven geospatial applications.San Francisco Today

Spain's Xoople has raised $130 million in Series B funding to map the Earth for AI, marking a significant milestone in the startup's journey. This investment round, led by Nazca Capital, showcases the growing interest in the company's innovative approach to satellite data collection and its potential impact on the AI industry. With a focus on precision data for deep learning models, Xoople aims to become the go-to source for ground truth in enterprise applications.

Why it matters

Xoople's unique selling point lies in its comprehensive tech stack, developed over seven years, which integrates data from government spacecraft and cloud providers. The company's emphasis on data quality is a key differentiator in a crowded market, as it faces competition from established players like Vantor, Planet, BlackSky, and Airbus. Xoople's strategy of embedding its data and solutions directly into the ecosystems of its clients is particularly appealing to government agencies, agribusiness, and large firms interested in monitoring various aspects of their operations.

The details

One of the intriguing aspects of Xoople's strategy is its emphasis on enterprise platforms. By embedding its data and solutions directly into the ecosystems of its clients, the company aims to provide services to their customers. This approach is particularly appealing to government agencies, agribusiness, and large firms interested in monitoring transportation networks, natural disaster damage, crop health, infrastructure projects, and supply chains. Xoople's ambitious goal is to build 'Earth's System of Record,' a project that involves developing a true AI world model alongside partners.

  • Xoople has raised $130 million in Series B funding in April 2026.

The players

Xoople

A Spanish startup that has developed a comprehensive tech stack to collect and integrate satellite data for AI applications, with a focus on precision and data quality.

Nazca Capital

The venture capital firm that led Xoople's $130 million Series B funding round, signaling the growing interest in the company's innovative approach to satellite data collection for AI.

Fabrizio Pirondini

The CEO and co-founder of Xoople, who highlights the company's commitment to data quality as a key differentiator in the market.

Aravind Ravichandran

The CEO of TerraWatch Space, who notes Xoople's proactive distribution strategy of embedding its data and solutions into platforms like Microsoft and Esri, where enterprise and government GIS buyers reside.

Google

An established player in the geospatial AI models market, which Xoople aims to surpass with its own offerings.

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What they’re saying

“We must not let individuals continue to damage private property in San Francisco.”

— Robert Jenkins, San Francisco resident

“Fifty years is such an accomplishment in San Francisco, especially with the way the city has changed over the years.”

— Gordon Edgar, grocery employee

What’s next

Xoople's ambitious goal is to build 'Earth's System of Record,' a project that involves developing a true AI world model alongside partners. This project raises intriguing questions about the balance between providing raw data and developing analysis tools.

The takeaway

Xoople's $130 million Series B funding round highlights the growing interest in satellite data for AI applications, particularly in enterprise and government sectors. The company's focus on data quality and its strategy of embedding its solutions into client ecosystems could give it a competitive edge in a crowded market, as it aims to become the go-to source for ground truth in AI models.