Fleet AI

Predictive fleet maintenance

Fleet AI

See the warning.
Plan the work.

Turn the signals your vehicles already produce into a clearer picture of what needs attention. Before an unexpected stop makes the decision for you.

Vehicle data. Physical context. Human judgment.

A connected vehicle tells a story.
Make it part of your maintenance plan.

Built for fleet managers,
drivers, and the people in the shop.

From the road to the work order

01 / Observe

Start with what
the vehicle knows.

RPM. Coolant temperature. Voltage. Available engine signals arrive through a compatible OBD-II or J1939 connection, with timestamps and connection status intact.

Supported signals depend on the vehicle and hardware.
02 / Understand

A reading needs
a reference.

Physics checks and learned operating history put changes in context. Fleet AI looks for sustained deviation, not just a number crossing a line.

Synthetic priors begin the process. Real history refines it.
03 / Act

Give the shop
a better starting point.

Review the evidence, prioritize an inspection, and schedule the work. Record what the technician finds so the next recommendation has more context.

Explore the maintenance workflow

The maintenance workspace

The right conversation.
With the evidence beside it.

Bring an alert, the vehicle's history, and your next action into the same view. No hunting through disconnected logs.

Fleet AIMaintenance review
Illustrative example

Review queue

Inspection priorities
VehicleFindingNext action
Unit 204Heavy-duty / DieselReviewCooling trend has shiftedInspect cooling system
Unit 118Light-duty / GasolineMonitorCharging varianceCheck operating context
Unit 306Van / DieselServiceInspection follow-upReview technician notes
Operating contextCompare like-for-like conditions.

Load, temperature, and recent history help explain what changed.

Service planningAssign the next inspection.

Keep the finding, work record, and outcome together.

Illustrative records, not live fleet data. Fleet AI recommends; your team decides.

31 connected solution areas

Built around the work.
Not another dashboard to watch.

Prediction is the starting point. The workspace connects it to vehicles, people, service records, and the cost of keeping a fleet moving.

Vehicle intelligence6 solution areas

Follow the readings, recognize changes, and keep the evidence behind each finding.

  • Predictive breakdown risk
  • Live telemetry
  • Signal history
  • Vehicle health scoring
  • Diagnostic fault analysis
  • Alert management
Maintenance operations5 solution areas

Move from an inspection recommendation to recorded service work.

  • Preventative maintenance
  • Work orders
  • Service logs
  • Parts inventory
  • Recall tracking
Fleet coordination6 solution areas

Keep vehicles, assignments, and location context connected to the operation.

  • Asset tracking
  • GPS and geofencing
  • Dispatch
  • Load management
  • Route planning
  • Camera context
Drivers and inspections6 solution areas

Record findings and support the people responsible for the vehicle.

  • Driver management
  • Safety scoring
  • Pre- and post-trip inspections
  • Compliance review
  • Hours-of-service workflows
  • ELD integration support
Costs and reporting4 solution areas

Connect maintenance activity to operating costs and useful reports.

  • Fuel management
  • Expense records
  • Fleet analytics
  • Audit exports
Team workspace4 solution areas

Give the right people access to the right company context.

  • Fleet Advisor
  • Document management
  • Team roles
  • Organization management

Available capabilities depend on deployment scope and connected integrations. Compliance workflows are not a claim of ELD certification.

What a useful pilot proves

Fewer unknowns.
Better service decisions.

The aim is to reduce avoidable downtime and give maintenance teams time to act. The proof comes from comparing recommendations with actual inspections and repairs.

Plan the field review
Did the warning help?
Record whether a recommendation led to a useful finding, a false alarm, or more investigation.
Was there time to act?
Measure the gap between the first useful warning and the confirmed maintenance outcome.
Did the work change?
Compare unplanned stops, inspection effort, and service decisions. Do not substitute simulation scores for field results.

Start with a truck your team knows.

Bring the vehicle.
We will start with the connection.

Review your hardware, available signals, and a practical pilot plan. Fleet AI is $50 per active vehicle per month.