Edge EncoderCloud DecoderOffshore Energy
// INDUSTRIES / OFFSHORE ENERGY

Monitor Every Asset.
Not Every Pixel.
One Satellite Link.

Offshore platforms and ROV operations generate critical video that must traverse expensive satellite links. MAHAMAIA explores compressing AI features instead of streaming raw video — potentially enabling continuous monitoring without multiplying bandwidth costs.

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The Satellite Cost Problem
Today

ROVs, platform cameras, and pipeline inspection feeds compete for the same expensive satellite uplink. Operators limit camera coverage to stay within bandwidth budgets.

Pipeline inspection videos are stored locally and reviewed in batches — delayed analysis means delayed intervention.

MAHAMAIA

Compress neural features at the edge and transmit only what AI models need. Enable real-time monitoring across more cameras without increasing satcom costs.

Feature archive enables retrospective inspection — search by event, timestamp, or anomaly score without storing raw video.

Based on Starlink Maritime and VSAT real-world uplink ceilings. Bandwidth projections depend on camera configuration and event density.

Day in the Life

Platform camera detects anomaly
Pipeline pressure gauge or ROV camera feed triggers feature extraction at the edge.
MAHAMAIA compresses features
The learned compressor reduces the frame to a compact latent representation.
Satellite transmission
Compressed feature stream is transmitted over existing satcom at a fraction of video bandwidth.
Shore-side AI analyzes
Cloud decoder reconstructs features. Structural integrity, leak detection, and asset tracking models run simultaneously.
Engineer receives alert
Actionable notification reaches the operations center within seconds. No raw video consumed over the link.
Every asset. One link.

Research pilot available for offshore operators. See how MAHAMAIA fits your platform configuration.

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