Diagnose the Failure Before It Happens.
FleetFix Sense is an AI-driven diagnostic and prognosis engine, currently in development. Instead of waiting for a breakdown or showing you raw fault codes, it reasons through the root cause like a master technician and tells your team how much safe operating life a vehicle has left.
Micro-drift in coolant temperature & auxiliary pump draw detected over 72 operating hours.
Raw CANbus deviations translated into a structured diagnostic prompt with duty cycles.
Cross-checks unit history, FleetFix similar logs, OEM factory trees & mechanic forums.
A DIFFERENT KIND OF INTELLIGENCE
Not a Fault-Code Reader. A Reasoning Engine.
Conventional telematics tools wait for a threshold to trip and dump an obscure error code on your screen. Sense is designed to understand what is happening beneath the surface, why it started, and how long you have to intervene.
Catches Drift, Not Just Failure
Sense monitors live telemetry for subtle micro-drifts and abnormal patterns, so a problem can be flagged before it becomes a hard breakdown.
Reasons Like a Master Technician
Rather than displaying a raw code, Sense weighs the symptom against vehicle history, fleet experience, factory guidance, and field knowledge to find the true root cause.
Tells You How Much Time You Have
Every diagnosis is designed to come with a Remaining Useful Life (RUL) estimate: the safe operating time or distance left before failure.
THE SENSE PIPELINE
From Sensor Variation to Verified Diagnosis in 5 Stages.
How Sense transforms noisy, continuous commercial telemetry into structured intelligence, multi-source reasoning, and proactive scheduling alerts.
Sensor Abnormality Detection
Sense continuously monitors live vehicle telemetry to catch subtle variations, micro-drifts, and abnormal patterns before a mechanical failure or hard breakdown occurs.
Automated Prompt Synthesis
When an abnormality crosses a trigger threshold, Sense translates the raw telemetry variations, operating conditions, and vehicle parameters into a structured diagnostic prompt for the core AI engine.
360-Degree Contextual Reasoning
To avoid false alarms and pinpoint the true root cause, the engine evaluates the prompt against four distinct knowledge sources: vehicle history, fleet history, OEM guidance, and field technician insights.
Root-Cause Diagnosis & RUL Calculation
By combining live sensor drift with historical, factory, and real-world intelligence, Sense diagnoses the underlying fault and calculates Remaining Useful Life: how much safe operating time or distance remains before failure.
Actionable Dashboard Alerting
The diagnosis and RUL countdown are pushed directly to the FleetFix dashboard so your team can schedule the fix proactively during scheduled downtime rather than dealing with roadside emergencies.
360-DEGREE CONTEXT
Every Alert Is Reasoned Across Four Knowledge Sources.
No single data stream tells the complete story. Sense cross-examines incoming telemetry symptoms against four specialized repositories to rule out noise, prevent false alarms, and identify the true mechanical failure mechanism.
The Specific Vehicle's History
Past repairs, recently replaced parts, maintenance records, and recurring issues on that exact unit.
Similar Fleet History Logs
Patterns and verified repair outcomes from identical vehicle models and similar symptom profiles across the FleetFix database.
OEM Recommendations
Official manufacturer service manuals, technical bulletins (TSBs), workshop guidance, and factory diagnostic trees.
Field Technician Knowledge
Real-world insights, known model quirks, and field fixes drawn from third-party mechanic blogs, community forums, and master techs.
4 Independent Knowledge Streams → Exact Diagnosis + RUL
DASHBOARD ALERTING
A Verified Diagnosis and a Countdown, Not Just an Alarm.
When Sense completes its reasoning, the result is designed to land on your FleetFix dashboard as an actionable alert, so repairs can be scheduled on your terms instead of the road's.
Coolant sensor records +3.8°C elevation under sustained urban haul load. Fan cycle frequency increased by 42% over 72 operating hours without corresponding ambient temperature rise.
Ruled out faulty sensor and sticking thermostat based on recent 60-day replacement history on this asset. Matched 8 similar symptom logs across model fleet database and factory service advisory bulletins.
Safe operating buffer estimated before high-probability thermal derate or roadside limp mode. Proactive recommendation: assign replacement to in-house bay during scheduled Friday fleet rest shift.
Note: Parameters, telemetry signals, and alerts shown above represent illustrative design concepts currently in development. Actual pilot interfaces and telemetry thresholds will be tailored with pilot partners.
Help Shape Sense Before It Launches.
We are opening early access to a limited group of UAE fleet operators. Join the waitlist to be considered for the pilot program, share your operational requirements, and see the prognosis architecture first.
FREQUENTLY ASKED QUESTIONS
Understanding FleetFix Sense & the Pilot.
Be Among the First to Put an AI Technician on Your Fleet.
Join the Sense pilot waitlist or request a walkthrough of the prognosis architecture with our engineering team.