Satellite data processing and edge compute for earth observation constellations
Xplore builds satellite operations software and on-orbit processing platforms for earth observation missions. The tech stack—Rust, Kubernetes, Kafka, FPGA design tools (KiCAD)—reveals a company moving compute workloads to the edge: rather than streaming terabytes of raw imagery to ground stations, they're processing data in orbit to reduce latency and transmission costs. Early-stage hiring is heavily weighted toward senior and lead engineers, focused on flight electronics, embedded systems, and data pipeline infrastructure.
Xplore provides satellite data products and operations software to earth observation customers. The company operates a constellation of satellites equipped with optical, video, and hyperspectral sensors, and differentiates on edge computing—processing and fusing data on-orbit rather than on the ground. Core capabilities span satellite tasking systems, real-time data processing pipelines, spatio-temporal asset catalogs, and flight electronics design for next-generation spacecraft. The organization is optimizing for constellation scaling and reducing operator burden through automation.
Xplore uses AWS, Kubernetes, Kafka (Confluent Cloud), Rust, Node.js, React, KiCAD, and FPGA tools. The mix reflects both ground infrastructure (cloud-native data pipelines) and flight hardware (embedded systems and sensor interfaces).
Xplore is developing flight electronics for earth observation spacecraft, on-orbit data processing platforms, satellite tasking and operations software, imagery marketplace integrations, and FPGA-enabled sensor pipelines—all aimed at enabling real-time processing of satellite data in orbit.
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