Spiral Blue

Spiral Blue is a Sydney, Australia-based space technology company founded in 2018 that develops edge computing platforms for Earth observation satellites — enabling AI and machine learning algorithms to process satellite imagery directly in orbit rather than transmitting raw data to ground stations, dramatically reducing downlink bandwidth requirements and enabling real-time delivery of actionable insights for time-critical applications.

The fundamental problem Spiral Blue addresses is data bottleneck: modern EO sensors can capture multiple gigabytes of raw imagery per orbital pass, but contact time with ground stations is limited to 5-15 minutes per pass, and downlink rates are constrained by atmospheric transmission, regulatory spectrum allocations, and ground antenna aperture. A 50-megapixel camera at 8-bit color generates ~150MB per frame; at multiple frames per second, a single orbit can generate hundreds of gigabytes of raw data that cannot feasibly be downlinked without onboard selection and processing. Spiral Blue's Space Edge One (SE1) computing module runs neural network inference on the satellite itself — performing cloud detection, object classification, change detection, or feature extraction — and downlinks only the compressed results (e.g., coordinates and confidence scores of detected ships, coordinates of wildfire hotspots, field-level biomass indices) rather than full raw imagery frames.

The Space Edge One platform uses radiation-screened ARM-based system-on-chip processors (Rockchip-class or similar) with passive thermal management optimized for LEO orbital temperature cycling. It supports TensorFlow Lite and custom model inference frameworks, with a model deployment pipeline allowing satellite operators to upload new algorithms via over-the-air software update — making the platform reprogrammable for different mission requirements after launch.

Key application verticals include: maritime domain awareness (detecting vessels, identifying dark ships by cross-referencing AIS absence with optical detections), wildfire early warning (detecting thermal anomalies in near-real-time before fires grow to catastrophic scale), agricultural monitoring (field-level change detection and crop stress indexing), and flood mapping (rapid extent mapping during disaster response when every hour matters).

Spiral Blue operates within Australia's growing space ecosystem — supported by the Australian Space Agency, SmartSat CRC (Cooperative Research Centre), CSIRO's data61 analytics programs, and the University of Sydney's aerospace engineering department. The platform has undergone orbital flight validation. Competitors include Unibap (Sweden, iX5-100 space AI module), KP Labs (Poland, onboard processing), and Aethero (US, formerly OrbitsEdge) in the emerging edge-AI-for-satellites market.