The Platform
Introducing MA.
She is our owl — intelligent, always learning, always adapting — for the people aboard, the vessel, and the waters she works in.
Where every vessel begins
Every vessel carries design intent — the assumptions, calculations, and engineering context it was built from — and a growing operating history of how it has actually run. MA begins with both, building a vessel-specific picture from the vessel's own documentation and record, so that everything she observes is judged against what this vessel, specifically, should do.
The live picture
Live operational data — machinery condition, performance, motion, and operating context — flows securely from vessel to cloud and is presented for the people who need it: crews, engineers, and shore teams. That includes motion awareness: understanding what vessel motion and conditions mean for the vessel and those aboard. How intelligence is presented matters as much as what it finds — dashboards are designed for the people who read them at sea.
Earned, one level of trust at a time
MA compares operational behaviour against the vessel's engineering model. When behaviour departs from expectation, that deviation can be the earliest sign of a developing problem — and MA is designed to show the evidence behind it. From there, the path leads toward advice engineers can verify and, in time, increasingly autonomous operation.
Intelligence you can question.
MA begins with both the data and an engineering model of the vessel, built from its physics, its documentation, and its operating history. AI and machine learning tune that model against live operation, so an engineer can inspect any deviation and the assumptions behind it.
One signal's journey. One team behind every layer.
MA is not software alone. MASS-MARAM engineers the full chain — onboard sensing and IoT edge devices, secure vessel-to-cloud connectivity, the intelligence itself, and the dashboards people use — so the quality of the evidence is controlled from the sensor up, and one team stands behind the whole system.
Sensor
Where the vessel speaks — temperatures, pressures, motion, power.
Edge
Our edge device aboard — collecting, securing, and buffering every signal.
Link
Secure vessel-to-cloud connectivity, built for patchy coverage at sea and on the river.
Intelligence
MA — judging every signal against the vessel's own engineering model.
People
Dashboards designed for the humans who act on what she finds.
Before the vessel exists
The same engineering foundation can begin at concept stage — MA-Con brings this intelligence into early vessel design, creating continuity between design assumptions and operational evidence.
MA is designed around vessel-specific engineering context rather than a single vessel type, allowing the same platform architecture to be applied across different vessel classes and operating profiles — from today's working fleets to increasingly autonomous vessels.
In operation
Atlantic Owl
A working pilot vessel, Nova Scotia — operational data since summer 2026.
Flying Owl
Partner-funded predictive maintenance, Paraguay.
See MA with your own vessel in mind.
Request a demoThe evolution of better vessels starts here.