In this episode of Tech Command Investing, host Alain Gavin is joined by Anand Waghmare, Co-Founder and CEO of Yugen Space. Based in Tübingen, the heart of Germany's Cyber Valley AI cluster, Yugen Space is building a proprietary intelligence engine for satellite data.

With over a thousand satellites currently in orbit generating an avalanche of raw data, the true bottleneck for organisations is no longer visibility, but usability. As Anand succinctly puts it, "Companies don't want satellite data. They want answers." This conversation unpacks Anand's unusual journey from discovering asteroids using open NASA data to creating an architecture that slashes complex geospatial analysis from weeks down to mere minutes.

We explore the new operational realities of intelligence gathering forged by recent conflicts in Ukraine and the Middle East. The decisive military edge is no longer just seeing the battlefield; it is the ability to filter, prioritise, and act faster than adversaries under total information saturation. Anand discusses Yugen's strategic roadmap, moving from a proven commercial core into a dual-use and defence-grade reasoning layer within Europe's ISR (Intelligence, Surveillance, and Reconnaissance) stack. Crucially, Yugen’s architecture allows its engine to run entirely on a customer's own GPUs, guaranteeing the absolute data sovereignty that European defence and national security agencies now demand.

For strategic investors, we dive into why the €3 billion Earth observation market is rapidly evolving into a €50 billion embedded intelligence infrastructure. We discuss Yugen's deliberate, asset-light software bet in a field dominated by asset-heavy constellation builders, and Anand breaks down exactly why Yugen is not just another "LLM wrapper." Instead, it utilises a proprietary scientific planning layer and multi-sensor fusion, combining optical, thermal, hyperspectral, and radar data, to deliver hyper-personalised, hallucination-free insights. We also look toward the 2030 horizon, discussing Yugen's recent success in running machine-learning models directly in orbit to enable direct-to-user insights.

This episode features a deep dive into live capabilities, showcasing how the engine seamlessly executes crop health and moisture stress assessments, tracks urban heat islands in Munich, and monitors complex construction progress at the Stuttgart railway station.

📚 Additional resources and books mentioned in this episode:Amazon's Letters to Shareholders by Jeff Bezos Principles for Dealing with the Changing World Order by Ray Dalio Longitude by Dava Sobel

Figures: https://www.dropbox.com/scl/fo/y6xugzgrrwpjx288l1li4/AJqsRTAp3LrSwH33peR91rQ?rlkey=qr47tatn6rcasxd0tbw7vq7oh&st=29h1ia8c&e=1&dl=0

💼 Are you a strategic investor exploring dual-use tech, critical infrastructure, or advanced sovereign capabilities? Let’s connect. Book a 1:1 here: 🔗 https://calendly.com/podcast-psion/30min