Onboard Autonomy
Enable autonomous spacecraft operations.
Unclogging ground-segment data-processing funnels with automated planning, scheduling, and control mechanisms.
Onboard AI · Edge computing · Flight-proven
Tanagra Space develops machine learning that runs on board spacecraft, so missions can detect, decide, and act in orbit without waiting for the ground.
What we do
Enable autonomous spacecraft operations.
Unclogging ground-segment data-processing funnels with automated planning, scheduling, and control mechanisms.
Identify and highlight features of interest.
Filtering through large datasets of remote sensing in earth observation and planetary exploration.
Satellite APIs for in-flight machine learning.
Leveraging edge computing and demystifying AI by making it accessible to spacecraft operators and experimenters.
Recent work
The first voice command of a satellite: OPS-SAT PRETTY playing DOOM from orbit, launched by a spoken command over amateur radio.
Play DOOM →Multi-language implementations (C, C++, Python, Go, Rust, Java) of the CCSDS lossless telemetry compression standard, built on ESA's POCKET+ algorithm for low-power spacecraft processors.
Explore →An animated terminal visualizer for spacecraft attitude and target pointing.
See it →An ICD-compliant HyperScape100 emulator that streams session data over TCP with packet framing, CRC-32, and band reconfiguration, so you can develop without the hardware.
Emulate →News
Contact
Mission operators, payload teams, and researchers: tell us what you want your spacecraft to decide on its own. Press inquiries are welcome too.