Port automation, autonomous vessel perception, and subsea robotics — civil-first
Maritime AI must operate in RF-degraded, high-humidity, and mechanically harsh environments where cloud connectivity is intermittent at best. We help port operators, shipping lines, offshore asset managers, and autonomous-vessel makers deploy AI that works at the edge — from port AMR and crane automation to subsea robotics and remote predictive maintenance. Our distributed-agent and RF-spectrum primitives from Auralink provide transferable architectural foundations for port and vessel operations.
We design maritime AI architectures for disconnected, harsh, and safety-critical environments — from port AMR fleet orchestration and computer-vision berth planning to on-vessel edge inference and subsea autonomous inspection. We work within IMO MASS, DNV, and Lloyd's Register frameworks. Our distributed-agent architecture, built in the owned, pre-production RF-spectrum-constrained EV charging coordination reference implementation, transfers directly to port and vessel orchestration.
Based on common industry needs
Twelve to twenty-four weeks to risk-classify your AI systems, support the provider-led conformity assessment and engineer the evidence, produce the Annex IV technical documentation, and stand up post-market monitoring — with special depth on the high-risk categories that apply to autonomous, industrial, and robotics deployments
The Full-Stack Physical AI layers most relevant to this sector.
A 30-minute call is enough to diagnose whether your AI initiative is stuck for industry-specific reasons — and what to do about it.