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Xoople

AI InfrastructureVerified95% conf

Satellite constellation company collecting precise data for deep learning models

xoople.com ↗

📍 Tres Cantos, Madrid, Spain

Verified Data

💰

Est. Revenue$5M-$15M ARR

“Based on $225M total funding including recent $130M Series B and unicorn valuation, plus 75-150 employees. Enterprise Earth data infrastructure companies typically generate $100K-$200K revenue per employee, suggesting $7.5M-$30M range. Given funding stage and B2B model, estimate $5M-$15M ARR.”

🚀

Funding$225M total funding, latest $130M Series B (April 2026)

🔗techcrunch.com↗

🧑‍💻

Team Size75-150 employees

“Enrichment data suggests 75; recent $130M Series B expansion likely pushes headcount towards 150.”

📈

GrowthReached unicorn status ($1B+ valuation) in April 2026

🔗facebook.com↗

🏷️

StageSeries B (April 2026)

📅

Founded2019

Company Profile

ModelB2B SaaS

VerticalArchitecture, Engineering & Construction, Agriculture, Transportation & Logistics, Government, Defence & Intelligence, Manufacturing & Retail, Energy, Utilities & Resources, Financial Services, Telecommunications, Technology, Education & Research, Real Estate, Media & Entertainment, Not-for-Profit

ClientsAlaska Department of Transportation, L3Harris, Esri, Microsoft, EY

BuyersHigh-value enterprise and government sectors requiring high-resolution Earth monitoring and AI integration

PricingCustom enterprise subscription based on data volume and resolution requirements

Contact

✉️ [email protected] LinkedIn

Strategic Analysis

Strategy

Building a comprehensive Earth data infrastructure platform designed for the 'agentic era' of AI. Focuses on launching satellite constellations to provide precise, AI-ready Earth observation data. Targets high-value enterprise and government contracts across multiple verticals requiring Earth monitoring capabilities.

Tactics

Co-development partnerships with aerospace companies like L3Harris for space-borne measurement systems. Strategic partnerships with tech giants (Microsoft, Esri) for platform integration. Custom enterprise subscription model with contract-based pricing. Heavy focus on government and defense sector contracts.

Competitive Positioning

Positions as the AI-native Earth data infrastructure provider versus traditional satellite imagery companies. Differentiates on AI-ready data formats and real-time processing capabilities. Competes in the emerging space of Earth observation specifically optimized for machine learning and autonomous systems.

Marketing Approach

Enterprise sales-driven approach targeting government agencies and large corporations. Partnership-led growth through strategic alliances with aerospace and technology companies. Industry conference presence and thought leadership in Earth observation and AI sectors.