On-orbit edge computing solutions
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Instead of raising our first round of financing the traditional way, through VC's, we decided to engage more directly with the space community by raising funds through an equity-based crowdfunding campaign on Spaced Ventures. We see our early investors as a huge asset because they provide such a strong network and positive conversation. Join the Exo-Space team by investing today!
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Hardware and AI software payload for on-orbit image processing
Flexible machine vision software running custom-trained image classification and object detection algorithms
Exo-Space's FeatherEdge Platform provides real-time insight on Earth Observation data
Each day satellites send over 1 million raw photos to Earth. Images are being created faster than they can be sent to the ground and in the next 3 years satellite cameras will be producing images at a rate of 1 gigabyte per second. That's the equivalent of 400 HD photos every second. Satellites waste approximately 30% of bandwidth on photos that are unusable (i.e. contain clouds, out of focus etc.)
Earth Observation systems are unable to downlink data to centralized cloud services continuously, but they still have a continuous stream of data which requires large amounts of machine learning/compute resources.
Most off-grid worksites have limited bandwidth and unreliable network connections and some data (i.e. for natural disaster response) is only useful if it's processed in real-time.