Baseline each unit
Fleet AI starts with pretrained vehicle-class priors, then calibrates toward the behavior of each actual vehicle.
Predictive fleet maintenance
Predictive maintenance intelligence for modern fleets.
Fleet AI unifies vehicle telemetry, risk scoring, inspections, and service planning so operators can identify maintenance risk earlier and coordinate action with confidence.
10kvehicle baseline profiles across fleet classes
31operational modules aligned to fleet reliability
15+telemetry signal families supported
Risk queue
36 hr window
Cooling variance detected on Unit 2701
Coolant trend, RPM stability, and load correlation moved outside this truck's learned operating range.
Vehicle profileHeavy-duty
Primary protocolJ1939
Confidence stateCalibrating
Action pathSchedule
The ML engine
Risk scoring before fault-code dependency.
Fault codes are late-stage evidence. Fleet AI evaluates each unit against vehicle-class priors and its own operating baseline so developing risk can be reviewed earlier.
Subsystem drift model
simulation-backed priors
Coolinghigh
Chargingwatch
Fuelstable
DPFrising
Detect mechanical drift
Temperature, voltage, RPM, load, fuel, emissions, and driving conditions are evaluated together instead of as isolated alerts.
Rank the work
The output is a maintenance queue with risk level, failure window, evidence, and recommended next action.
Reliability Operations
Fleet health87
Risk review18
Service due36
Signal quality98%
Signal drift
Service plan
Operations console
A reliability command center for fleet operations.
The workspace is organized around decisions: which unit needs review, what evidence supports the score, when service can be scheduled, and what operations needs to know.
Predictive risk queue with component-level evidence.
Maintenance planning tied to service windows and operational impact.
Fleet Advisor explains the signal instead of hiding behind a score.
Prediction to maintenance
Prediction moves into service planning.
A risk score only matters when teams can act on it. Fleet AI connects prediction output to inspections, work queues, parts inventory, dispatch visibility, and maintenance history.
Schedule preventative maintenance before the next high-risk route.
Track inspections, service records, parts, recalls, and DOT-ready workflows.
Platform coverage
A connected system for reliability operations.
Fleet AI connects monitoring, maintenance, dispatch, compliance, driver workflows, cost visibility, and integrations so reliability decisions can move through one operating system.
Prediction and telemetry
Find developing mechanical issues before they turn into downtime.
- Breakdown prediction
- Live telemetry
- Risk scoring
- DTC analysis
- Alerts
Maintenance and shop control
Turn risk into scheduled inspections, parts decisions, and work orders.
- PM scheduling
- Work orders
- Service logs
- Parts
- Recalls
Dispatch and fleet context
Keep routes, vehicles, cameras, and location context aligned with service needs.
- Dispatch
- GPS tracking
- Geofencing
- Cameras
- Route planning
Compliance support
Capture the records operators need without pretending software replaces human responsibility.
- DVIR
- DOT status
- HOS support
- Audit export
- Documents
Drivers and people
Connect behavior, assignments, inspections, and communication in one workflow.
- Driver roster
- Safety scoring
- Messages
- Assignments
- Coaching
Finance and integrations
See the cost impact and connect Fleet AI to the systems your operation already uses.
- Fuel cost
- Expenses
- Reports
- Webhooks
- API access
Pilot validation
Validate prediction quality on real vehicles.
Fleet AI should earn trust with evidence. Pilot fleets can compare predictions against inspections, repairs, downtime events, and maintenance outcomes.
7-21day visibility target for detectable early-risk patterns
A-Fvehicle health grades with evidence behind each score
Realoperator approval before action is taken
Enterprise pilot
Evaluate Fleet AI against live telemetry and measurable maintenance outcomes.
Start with a focused pilot built around fleet class, route profile, telemetry quality, and the maintenance outcomes your leadership team needs to measure.