will marshall

Planet operates 200+ satellites imaging Earth daily at 3m resolution, generating 4M images/day. Defense/intelligence is largest revenue segment, but commercial applications (hedge funds tracking commodities, agriculture with John Deere, methane leak detection, disaster response) are the growth engine. Raising ATM to fund M&A and supply chain resilience.

Launch costs have dropped 10x in a decade to ~$1,000/kg; Starship trajectory suggests $200-300/kg in 2-3 years, making orbital data centers cheaper than terrestrial due to 5x solar energy collection in sun-synchronous orbit without batteries. Already testing Nvidia GPUs and Google TPUs in space.

Planet's 200-satellite fleet images entire Earth daily creating a time-series dataset; applying LLMs to this imagery unlocks agriculture, energy, civil government, and security applications. AI is only as good as its training data — real-world sensor data from space is the next frontier.

Planet's unique daily global imagery and irreplaceable ten-year archive give it proprietary real-world training data just as AI makes that data accessible to commercial users. Management expects AI to unlock a much larger market beyond its government-heavy customer base.

For orbital data centers, compute efficiency ultimately matters more than launch cost because power consumption determines cooling and spacecraft mass. Google's vertically integrated TPUs, networking and infrastructure may therefore offer a structural advantage over general-purpose Nvidia GPUs.