The vessel that
learns itself
ShipMotionIQ builds a continuously improving motion model for each ship, from real operational data, no design documents required. Predictions that get better every hour at sea.
The Problem
Today's vessel motion prediction is broken
Physics-based simulation tools require expert consultants, full ship design documentation, and weeks of offline computation. They never adapt to the actual vessel in operation. Captains rely on experience and rough estimates when loading and routing decisions matter most.
Static models, dynamic reality
RAO curves and seakeeping simulations are computed once, then never updated. The vessel in operation bears no relation to its design-stage model.
Expert dependency and cost
Meaningful motion analysis requires specialist consultants and full ship design documentation, inaccessible for most operators and impossible in real-time.
Cargo decisions made blind
Cargo owners loading sensitive or high-value freight onto vessels have no certified, data-backed way to assess motion risk before committing.
Three Products, One Core
Built on a self-learning motion engine
Install once. The system continuously observes sensor data, builds its model, and makes predictions that improve with every voyage.
The Learning Loop
Every hour at sea makes the model smarter
A closed feedback loop between vessel edge and Azure cloud means the model continuously improves. Cross-vessel learning means every new ship accelerates faster.
Competitive moat through data
The longer the system runs, the more accurate it becomes, and the harder it is to replicate. Data collected offline is synchronized in batches, without requiring real-time connectivity.
Motion Passport
The performance certificate backed by real data
Generated on-vessel or via cloud API. Presented to cargo owners, charterers, and insurers before loading. Includes confidence levels, data coverage map, and comparison with class society limits.
Timestamped, verifiable, tamper-evident. Archiveable for audit trail.
Shows which conditions are observed vs. interpolated, honest confidence bounds.
Designed for alignment with DNV, Lloyd's Register, and Bureau Veritas standards.
Motion Passport
MV Northern Horizon · Sample vessel
DATA
Technology & Trust
Certifiable by design, not an afterthought
Pure black-box AI cannot be certified by classification societies. ShipMotionIQ uses a hybrid physics-informed architecture where AI calibrates physics-based safety envelopes rather than replacing them.
Physics-Informed Hybrid Model
Physics prior layer (RAO-based) provides day-one baseline. ML correction layer learns vessel-specific residuals. Not a black box, understandable, auditable, certifiable.
Honest Uncertainty Quantification
Bayesian confidence bounds on every prediction. The system tells you when it doesn't know, critical for safety-of-life decisions and classification society acceptance.
Edge-First Architecture
Core functionality operates fully offline on vessel hardware. Cloud provides improvement, not dependency. No internet connectivity required for predictions or Motion Passport generation.
Classification Society Ready
The hybrid physics-informed architecture is designed from the ground up for engagement with DNV, Lloyd's Register, and Bureau Veritas. Auditable model structure, documented uncertainty bounds, and traceable data lineage.
Azure-Powered Cloud Layer
IoT Hub, Azure ML, Data Lake Gen2, enterprise-grade infrastructure for fleet training, model registry, and per-vessel model delivery. ONNX model portability ensures cloud-to-edge integrity.
Cross-Vessel Transfer Learning
Every new ship benefits from what the fleet has already learned. Sister vessels bootstrap faster, rare sea states get covered sooner, and the whole fleet converges on safer, more accurate predictions.
Early Access
Join the first wave of vessel operators
Built for heavy lift, offshore wind, and LNG operators who need motion intelligence they can trust on the bridge, not in a consultant's report. Talk to us about bringing ShipMotionIQ onto your vessels.
Targeting heavy lift vessels · Offshore wind installation · LNG carriers