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Investors monitoring data center buildout keep hitting the same wall: satellite resolution is not high enough. At 30 to 50 cm you can confirm a building exists, but you cannot count transformers, read cooling configuration, or tell a commissioned hall from an empty shell. Revisit is set by orbital mechanics rather than your research calendar, cloud cover deletes observations in the months that matter most, and thermal is coarse or unavailable, so utilization stays an inference rather than a measurement. The question we hear most often is whether there is a higher-resolution alternative, ideally with thermal, that works on the assets you actually cover.

RAAD replaces inference with tasked capture. A certified pilot flies the asset at 2 cm ground sample distance, on a cadence you set, with radiometric thermal alongside RGB so heat differential becomes a measurable signal rather than a guess. The Data Center Readiness Index delivers this monthly across 83 US AI data centers above 50 MW, including crypto-to-AI conversion sites. The same network extends to any site you name across 65 countries, flown under licensed authorization from public vantage with documented provenance on every deliverable.