Mission
A radiation-resilient controller that sits between satellite sensors, storage, AI processors, and downlink — within a sub-payload power envelope.
See the controllerChallenge
In LEO, reliable data management is bounded by radiation, intermittent connectivity, power, and downlink — not by storage capacity.
Single- and multi-bit upsets flip stored bits with no warning. Trapped protons and heavy ions hit DDR, eMMC, and FPGA fabric at rates that scale with altitude and inclination.
Ground-dependent fault recovery spans multiple orbits. A corruption detected at T+0 can wait an entire pass before an operator sees it.
Storage recovery cannot consume the host compute envelope. Every watt spent on scrubbing is a watt not available to the payload's AI inference workload.
Downlink is bandwidth-constrained and expensive per bit. Sending corrupted or low-value data to the ground is wasted capacity on a finite, contended channel.
OREN Shield
OREN Shield verifies, repairs, and prioritizes data inside the satellite — before the AI processor ever sees it. Detection, ECC, scrubbing, replication, recovery, and link-aware scheduling, co-located with the data path, on a single radiation-resilient module.
Architecture
TECHNICAL WHITE PAPERS
Zebrid is publishing a quarterly series of technical white papers covering the physics, architecture, and validation methodology behind OREN.
Volume I establishes the foundational context, mapping the macroeconomic industry landscape, defining the core value propositions and application scenarios of data management, and formulating a unified evaluation matrix.
Volume II deconstructs the core technical architecture, presenting an objective panorama of global main- stream solutions and executing a systematic comparative analysis.
Volume III formalizes the three-dimensional SoM constraint model across computing, storage and power, introduces the lightweight SoM-native OREN architecture with its five-module core, and benchmarks it against established solutions under a unified baseline.
Volume IV translates the analytical models from Volumes I–III into executable deployment, validating the SoM-native paradigm across LEO mega-constellations, real-time remote sensing, deep space exploration and on-orbit science experiments through a unified four-stage framework.
In the press
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