Satellogic, a leader in high-performance Earth Observation (“EO”) platforms that deliver unique sovereign solutions and AI-first monitoring, announced a seven-figure agreement with a strategic customer to support continuous, high-frequency monitoring across a large portfolio of priority sites.
The agreement reflects growing demand for Earth observation capabilities designed to operate persistently and at scale, supporting organizations that require continuous awareness rather than episodic data access. Under the agreement, Satellogic will provide daily revisit, high-resolution coverage, enabling consistent observation over priority regions for extended periods of time.
Rather than relying on event-driven tasking, the program is structured to ensure ongoing visibility and predictable data availability, allowing customers to maintain situational awareness as conditions evolve. This model supports intelligence workflows where imagery functions as an always-available input, informing risk assessment, operational planning and time-sensitive decision-making.
Consistency of coverage is central to the agreement. Satellogic’s vertically integrated design, manufacturing, and operations model enables the sustained delivery of high-frequency monitoring across large portfolios, supporting long-term programs that require reliability, continuity, and scale.
Through the agreement, the strategic customer gains access to an Earth observation capability purpose-built for persistent oversight, enabling early identification of change and improved responsiveness across priority domains. Use cases include defense and security, civil and environmental monitoring, infrastructure protection, and commercial operations where continuous awareness is critical.
“This agreement reflects growing demand for continuous Earth observation,” said Jeff Kerridge, SVP of Global Sales at Satellogic. “We’re able to support persistent, high-revisit coverage across priority regions, giving customers reliable visibility day after day rather than episodic access to imagery.”
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