Make every ship observable.

Sensors, edge compute, and AI analytics that turn every commercial vessel into a live, observable system. We make maintenance predictive, not reactive.

See the platform
A commercial passenger ferry crossing San Francisco Bay beneath the Bay Bridge
!
AI Detection · 14 days early
“Bearing wear detected on gearbox #2.”
Not just “anomaly detected.” An answer the crew can act on.

The fleets we already keep observable

SF Bay Ferry
Largest Bay ferry operator
Blue & Gold Fleet
SF Bay passenger fleet
Amnav
Largest California tug operator
SF Bay Ferry
Largest Bay ferry operator
Blue & Gold Fleet
SF Bay passenger fleet
Amnav
Largest California tug operator
SF Bay Ferry
Largest Bay ferry operator
Blue & Gold Fleet
SF Bay passenger fleet
Amnav
Largest California tug operator
SF Bay Ferry
Largest Bay ferry operator
Blue & Gold Fleet
SF Bay passenger fleet
Amnav
Largest California tug operator
The Problem · CMMS is blind

Commercial ships are still mechanical black boxes.

Maritime is the last remaining legacy industrial system. Unlike cars or aircraft, ships run with zero real-time engine telemetry. Failures are caught after they happen — reactive, not predictive.

“The software says something is wrong, but doesn't tell me why.” — what operators told us.

$10–50K/day
Cost of a single engine failure on a workboat, in downtime.
~30%
Fragmented vendors with no unified procurement layer.
Paper
Logbooks, PDFs, and Excel are still the system of record aboard.
25–40 yr
Vessel lifespan — every fleet is a long-lived legacy stack.
Our Insight

The industry treats planned and predictive maintenance as separate systems. We fuse them.

Planned-maintenance data becomes the training data for prediction. Every repair makes the next forecast sharper — surfaced the moment it matters, on every screen the crew uses.

A maritime engineer monitoring a live fleet-health dashboard on a control-room screen
Live monitoring · shore-side
Fleet health on one screen.

Live trends, gauges, and failure precursors from every vessel — turning raw sensor data into decisions shore teams can act on.

A ship crew member holding a phone showing a real-time Philyron maintenance alert in the engine room
Real-time alert
In the crew's hand, instantly.

A specific, actionable alert — not just “anomaly detected.”

Reactive · today
“Anomaly detected.”
Predictive · Philyron
“Bearing wear on gearbox #2 — 14 days early.”

We're not eliminating maintenance. We're eliminating surprises.

Powered by Innovation

One stack, three ways to see your fleet.

Tools designed to simplify inspections, automate workflows, and turn live sensor data into actionable insight — from the deck to the shore.

Crew-side maintenance
‹ BackGEARBOX #2
AI Detection
Findings
PriorityHigh
LocationEngine room / Gearbox #2
Detected14 days before failure
SensorVIB-01 · vibration
The Platform

Hardware that ships. Software that compounds.

One stack — sensor, edge, CMMS, and AI — sold as a single product to fleet operators. Built for the deck, not the desk.

A Philyron vibration sensor mounted on a marine engine gearbox in the engine room
Vibration sensor · live install
A maritime engineer reviewing a Philyron maintenance dashboard on a rugged tablet aboard a vessel
One integrated stack · sensor → edge → CMMS → AI
01
Sensors
Vibration & thermal, on the engine
02
Edge device
Onboard fusion · ship → shore
03
CMMS
Work orders, mobile, inventory
04
AI analytics
Failure precursors, weeks early

We'd like to show you the data.

Already shipping, already paid, already live in San Francisco Bay. Book 30 minutes and we'll walk you through the live fleet.

Philyron
Maritime Predictive Maintenance