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Remondo

Remondo provides commercial‑grade sub‑30 cm satellite imagery using its Partial Aperture Imagery System (PAIS), which achieves ultra‑high resolution from low‑cost nanosatellites in low‑Earth orbit.

Founded 2022151K+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Current high-resolution Earth observation relies on large, heavy satellites with expensive full‑aperture telescopes, limiting the number of platforms that can be launched and making frequent, sub‑30 cm imagery costly and inaccessible for many users.

Solution

Remondo’s Partial Aperture Imagery System (PAIS) uses an array of small mirrors and advanced optical modulation to create a virtual full aperture, delivering commercial‑grade sub‑30 cm resolution from low‑cost nanosatellites in low‑Earth orbit. The system records structured light on a standard CMOS sensor and applies a proprietary nonlinear deconvolution algorithm to reconstruct high‑resolution images, eliminating the need for large, heavy optics. PAIS‑enabled payloads are lightweight, tolerant to launch vibrations, and can be folded for launch and deployed on orbit, reducing build and refresh costs by 2–3× compared to traditional systems. A growing constellation of 32+ satellites provides near‑hourly global revisit, enabling persistent monitoring of priority targets for sovereign‑level decision making. The imagery is delivered in an AI‑ready format, allowing seamless integration into existing analytics pipelines.

Target Audience

Primary customers are commercial and sovereign agencies that require frequent, high‑resolution Earth imagery for intelligence, surveillance, reconnaissance, and operational planning, as well as enterprises integrating geospatial data into AI‑driven workflows.

Features

  • Partial Aperture Imagery System (PAIS) with an array of small mirrors achieving full‑aperture resolution from a compact payload
  • Optical modulator with coded phase mask restores modulation transfer function for high image quality
  • Proprietary nonlinear deconvolution algorithm converts structured light patterns into standard high‑resolution images on the ground or in orbit
  • Lensless, indirect imaging architecture tolerant to mechanical deformation and launch vibrations, relaxing tolerances by up to two orders of magnitude
  • Autonomous smart calibration using internal light sources, actuators, and star‑based PSF updates for continuous performance optimization
  • Bus‑agnostic payload integrates with existing small‑sat platforms, supporting rapid deployment and scaling
  • Near‑hourly global coverage from a 32‑satellite LEO constellation, enabling persistent observation of priority areas
  • AI‑ready data delivery with APIs for direct ingestion into analytics and decision‑support systems
This profile is AI-generated and may contain inaccuracies.