Remondo offers high-res satellite imagery from low-cost nanosatellites, providing sharper intelligence.
We change the economics of overhead access, making national-level intelligence more accessible, all delivered from low-cost satellites in LEO.
Commercial-grade imaging under 30cm, delivered by agile nanosatellites in LEO
2-3 times cheaper to build and refresh than traditional systems
Near-hourly global coverage enabled by a growing constellation of 32+ satellites
Continuous custody of priority targets for sovereign-grade remote sensing
Seamlessly integrates into modern AI workflows, models, and analytics pipelines
Remondo’s Partial Aperture Imagery System (PAIS) is a breakthrough optical architecture that redefines the long-standing trade-off between resolution, mass, and cost in space-based imaging.
Traditionally, achieving ultra-high resolution required large, heavy, and expensive full-aperture telescopes — making launch and manufacturing constraints a critical bottleneck.
Accelerate your optical imagery satellite and constellation programs with Remondo’s bus-agnostic, PAIS-enabled optical payload.
Tap Remondo’s emerging nanosat constellation, accessing real-time imagery when and where you need it, at a significantly lower cost.
Make more informed decisions faster by ingesting data from the optical imagery and combining with existing AI-enabled monitoring processes.
Deliver continuous, high-resolution ISR to support national security, border monitoring, and strategic decision-making without reliance on foreign systems.
Task satellites quickly and receive actionable imagery when timing matters most—supporting sovereign control and mission agility.
Enable rapid damage assessment, route planning, and coordination with near-real-time imagery during natural disasters and humanitarian crises.
Track assets, monitor change, and reduce operational risk across infrastructure, logistics, and global supply chains.
Monitor land use, crop health, and environmental impact to support sustainability, conservation, and smarter resource management.
Featured news / January 29, 2026
The era of choosing between ultra-high resolution and disruptive economics is over.
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