Edge AIMay 24, 2026
Voice AI for Multilingual Yacht Crews
Build, buy, or self-host voice assistants for multilingual yacht crews. Real latency numbers for Whisper, Piper, and Deepgram on vessel hardware.
By Ethan Marsh·11 min read
When the link drops, you still have everything.
Private AI, running on your vessel. Conversations, knowledge, and voice that do not depend on the satellite.
The cloud is 22,000 miles away
Your vessel generates terabytes of sensor and operational data every voyage. Your satellite bandwidth is measured in megabits, not gigabits. Your people need answers in seconds, not the next time the link comes back up.
The cloud was never designed for the open ocean. What works at sea is sovereign, self-sufficient AI that operates independently of shore-side connectivity. Computing that moves with the vessel, not against it.
30TB
of sensor and operational data per voyage
10 Mbps
satellite uplink, on a good day
22,000 mi
to the nearest cloud data center
4 days
since the last reliable shore connection
What We Build
Three shapes the work most often takes
Your situation may be one of these, a combination, or something we scope together in the first conversation.
A voice that answers when the satellite does not
Our signature deployment. Pick up any handset on the vessel, or call a dedicated line from anywhere in the world, and hear an AI that understands your operation. Grounded in your documents, your manuals, your own knowledge base. Works when the link is up. Works when the link is down.
Ask where a spare part lives. Ask how the last refit went. Ask what the captain told the guests last trip. The answer comes back in seconds, in whichever language you asked.
InboundConnected
Owner: Where did we store the spare injector for the port generator?
Vessel AI: Engineering locker, bay three, bin seven. Logged by the chief on the last refit in Palma.
00:04 · locallink · offline
Technology built for the bridge, not the boardroom
NVIDIA H100, H200, L40S, and B200 configurations, installed in the vessel’s existing server space or an IT closet scoped for it. The hardware is standard enterprise gear run in a reliable environment, not a proprietary box we pretend is marine-grade.
From Field Notes
What we are thinking about
InfrastructureMay 17, 2026
Vessel GPU Racks: Power, Cooling, Security
The unglamorous realities of deploying GPU compute on a vessel. Power budgets, thermal management, vibration isolation, and physical access control.
By James Calder·12 min read
Security & ComplianceMay 10, 2026
Zero-Trust Networks for Private Vessels
Most vessel networks were designed for convenience, not security. A practical zero-trust architecture for superyacht IT and OT segmentation.
By Marcus Hale·11 min read
From The Watch
Commentary as it happens
- № 01May 27, 2026
Starlink V3: Faster Pipe, Same Problem
SpaceX's V3 satellites promise 1 Tbps per bird. For vessel AI, the throughput was never the bottleneck. The architecture stays local.
By Ethan Marsh
- № 02May 25, 2026
USCG Cyber Rule Meets Vessel AI
The USCG cybersecurity rule hits its July milestone in six weeks. The IT/OT segmentation mandate validates sovereign vessel AI architecture.
By Ethan Marsh
- № 03May 22, 2026
Cruise AI Fails on Data, Not Models
Seatrade says cruise AI fails because the data layer is broken. They are right. But fixing it means fixing where the data lives, not just how it connects.
By Marcus Hale
- № 04May 20, 2026
npm Worms and the Case for Air Gaps
A worm compromised 633 npm packages in an hour. On-vessel software needs air-gapped dependency pipelines, not live registry pulls.
By Ethan Marsh
- № 05May 18, 2026
MSC's AI Concierge: One Missing Answer
MSC's AI concierge processed a million guest messages at 93% satisfaction. Nobody asked where those conversations live or what happens offline.
By Marcus Hale
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Own your AI. Own your data. Keep working when the link drops.
Whether you're a single superyacht or a fleet of cruise ships, we design and deploy sovereign AI that stays yours: on the vessel, off the cloud, under your control.