Fleet intelligence, closed loop
Your fleet produces the data. Motorpool turns it into action.
One assurance layer for telemetry, human reports, operational risk, and maintenance—built to find what is changing and prove what fixed it.
AssetsAircraft · Road · Equipment
SignalsTelemetry · Reports · Actions
OutcomeVerified operational improvement
Fleet assurance
Live fleet
OPERATIONS / OVERVIEW
Morning status
FLEET HEALTH INDEXStable with one emerging deviation
MP-042Oil pressure trendReview requested
THE GAP
Dashboards show what happened. Motorpool manages what happens next.
Fleet data is usually split across telematics, maintenance systems, spreadsheets, and the people operating the equipment. Warning signals exist—but the operational context and follow-through are missing.
Motorpool connects the signal to the decision, the decision to an owner, and the action to measurable evidence.
THE ASSURANCE LOOP
From signal to verified outcome.
A repeatable operating model for any fleet where reliability, safety, and accountability matter.
01→
Observe
Unify telemetry, operator reports, maintenance history, and operating context.
02→
Detect
Surface meaningful changes against each asset’s own operating baseline.
03→
Act
Assign risk controls and corrective actions with clear ownership.
04
Verify
Use subsequent operations to confirm the intervention actually worked.
FIRST VERTICAL
Motorpool
Aviation
Safety Assurance for Part 135 operators without an airline-sized data department.
Flight & engine-data monitoringConfidential pilot reportingHazard & corrective-action workflowControl-effectiveness verification
Part 135 pilot program ↗ASSURANCE CASE · MP-042● Review
Detected trend
4 flightsDeclining hot-idle oil pressure
01
Signal detectedPressure trend normalized for oil temperature and operating condition.
02
Safety review openedEvidence attached and responsible manager assigned.
03
Corrective action pendingInspect oil-pressure system before next revenue flight.
04
Verify effectivenessCompare the next three matched-condition flights.
INDEPENDENT ASSET VISIBILITY
Track the aircraft—not just its transponder.
A self-powered telematics device gives an operator a second source of aircraft location and movement data. Because it does not depend on the aircraft transponder, it can remain useful if a stolen aircraft’s transponder is disabled.
01
Battery poweredNo connection to aircraft electrical power is required for normal operation.
02
Weight accounted forAdd the device’s weight and installed location to the operator’s weight-and-balance process.
03
Independent signalProvides a separate layer of asset visibility beyond ADS-B or transponder-derived tracking.
The Motorpool opportunityBring independent location history into the same timeline as flight data, pilot reports, maintenance, and Safety Assurance events.
Watch on YouTube ↗VEHICLE TELEMATICS
A dashcam should do more than record the crash.
A renter destroyed this Ferrari in a distracted-driving crash. Traditional video could document what happened afterward. A modern AI dashcam could have recognized the developing behavior, warned the driver in real time, and created an opportunity to prevent the loss.
01
Detect distractionComputer vision identifies attention leaving the driving task.
02
Warn immediatelyAn in-cab alert reaches the driver while intervention still matters.
03
Escalate repeated riskFleet managers receive context instead of reviewing hours of footage.
04
Measure improvementMotorpool tracks whether coaching and controls reduce recurrence.
From evidence to preventionThe value is not merely proving who caused the collision. It is recognizing the precursor early enough to change the outcome.
Watch the Ferrari case ↗REAL-WORLD SAMPLE REPORT
The engine was still running.
The fleet data showed it was changing.
Observed median climb across four known max-gross flights in a common power window.
Approximately 22% wider during substantial July flight segments.
Two intake cam lobes were flattened; the main bearing had begun to walk.
PERFORMANCE TREND
Observed climb · broad matched windowComparable max-gross flights
STRONGEST MATCH
Both max grossFlight 387 vs. flight 400
CONDITION387400
Median altitude11,462 ft11,052 ft
Outside air temp.51°F53°F
Manifold pressure26.4 inHg26.3 inHg
Fuel flow16.8 GPH16.8 GPH
Observed climb398 fpm251 fpm
The engine was removed after the deteriorating trend prompted a physical inspection.
Inspection confirmed internal deterioration: two flattened intake cam lobes and a main bearing beginning to migrate.
FROM SIGNAL TO EVIDENCE
A trend is not a diagnosis.
It is a reason to investigate.
Motorpool’s role is to identify the change, preserve the operating context, route it for review, and measure the result after intervention.
01
DetectClimb performance declined across comparable max-gross flights.
02
CorroborateEGT distribution widened while other indicators remained comparatively noisy.
03
InspectTeardown found two flattened intake cam lobes and a migrating main bearing.
04
VerifyEstablish a new post-maintenance baseline and measure subsequent flights.
Interpretation matters.
EGT spread alone cannot distinguish cam/lifter wear from injector or induction faults. Observed climb-rate loss is not equivalent to horsepower loss. The EDM-900 records GPS groundspeed rather than IAS/TAS, leaving wind and climb-speed technique uncontrolled. Motorpool presents the evidence and its limitations together.
THE PLATFORM VISION
One operating model.
Every kind of fleet.
AVAILABLE FIRST
↗Aviation
Aircraft health, flight operations, and Part 135 Safety Assurance.
PLATFORM READY
→Road fleets
Vehicle health, driver context, maintenance, and operational risk.
EXTENSIBLE
→Specialized assets
Equipment and mission-critical fleets with complex operating contexts.
START A CONVERSATION
What is your fleet data trying to tell you?
Request a focused assessment for your aviation, road, rental, or specialized fleet. We’ll start with the operational problem—not a generic software demo.
Part 135 Safety AssuranceEngine and vehicle healthAI dashcam risk workflowsIndependent asset tracking