The Bandwidth Challenge
Today
ISR platforms generate more video than tactical links can carry. Operators reduce resolution, framerate, or number of simultaneous feeds.
Every additional sensor compounds the bandwidth problem — more data competing for the same contested spectrum.
MAHAMAIA
Compress neural features at the edge instead of streaming video. Representation infrastructure enables AI analysis from a fraction of the bandwidth.
More sensors, more intelligence — without saturating the link. Research validated on standard vision architectures.
Defense applications require additional security certification. MAHAMAIA is research-stage — not yet deployed or certified for tactical use.
Day in the Life
Sensor detects activity
EO/IR camera feed is processed at the edge. Feature extraction begins on-device.
MAHAMAIA compresses features
The learned compressor reduces the frame to a compact latent representation on the tactical edge.
Bandwidth-efficient transmission
Compressed feature stream is sent over tactical datalink or contested spectrum.
Command AI analyzes
Cloud decoder reconstructs features. Detection, classification, and tracking models run simultaneously.
Operator receives intelligence
Actionable alerts reach command within seconds. No raw video consumed over the link.
More sensors. Less bandwidth.
Research collaborations welcome. Pilot program available for qualified defense partners.
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