What is your fleet
actually costing you?
Adjust three inputs. See your projected annual savings — built from your numbers, not ours.
Fix it when it breaks — maximum exposure
No form. No sales call. Live demo with your fleet pre-loaded.
per year across 450 vehicles
Labor Hours Recovered
9,439
hrs/year
Savings Per Vehicle
$6K
per unit/year
// Projections based on aggregated data from 847 fleet deployments. Individual results vary.
Mean Time Between Failures
Every component reports its own condition. You stop guessing.
Uptime's onboard telemetry ingests brake lining depth, engine oil viscosity, tire pressure variance, and DTC codes every 90 seconds. The platform cross-references against OEM wear curves and your fleet's own historical failure signatures — not generic industry tables.
Brake Pad Monitoring
Per axle, per vehicle
Oil Degradation Index
Eliminates calendar-based changes
DTC Cross-Reference
Severity-weighted, not raw OBD
Failure Prediction Window
91.3% accuracy on confirmed failures
"We caught a failing differential on Unit 447 eleven days before the driver would have reported anything. Saved a $23,000 rebuild and a missed delivery window."
— Marcus Delgado, Fleet Director, Consolidated Freight Midwest
Cost-per-mile is the only number that tells the whole story.
Uptime aggregates fuel, parts, labor, and downtime into a single cost-per-mile figure per vehicle, per route, and per division. Fleet directors who've managed by gut-feel for 20 years finally have the number they can defend in a board meeting.
Fuel Efficiency Delta
Idle time + route optimization combined
Unplanned Downtime
Compared to reactive maintenance baseline
Parts Inventory Turns
Right part, right location, right time
Fleet Compliance Score
Weighted across all DOT categories
Integration surface:
Cost Per Mile // 6-Quarter Trend
DOT Compliance Matrix // Current Fleet
Predictive Alert Queue
Avg. Lead Time
14.7
days ahead
Brake Fade — Rear Axle
Schedule PM today
3 days
96% conf.
Alternator Output Degradation
Order part, schedule next window
9 days
88% conf.
Coolant System Pressure Drop
Inspect radiator cap + hoses
11 days
84% conf.
Tire Wear Pattern Anomaly
Alignment check at next PM
18 days
79% conf.
Transmission Temp Spike Pattern
Monitor fluid level + filter
21 days
73% conf.
// Showing 5 of 23 active predictive alerts across 1,247 monitored vehicles
The failure doesn't surprise you. It shows up on your schedule, two weeks early.
Uptime's failure model trains on 340 million vehicle-miles of telemetry from 847 fleet deployments. It identifies the sensor signature of a brake failure 14.7 days before the driver feels it — and dispatches a work order automatically, with the part already on the shelf.
Model Training Data
Continuously updated from live fleet telemetry
Sensor Inputs Per Vehicle
CAN bus + J1939 + proprietary telematics
Auto Work Order Dispatch
Alert → WO → parts reservation, automated
False Positive Rate
Industry benchmark: 11–18%
Deployment Profile
847
Fleets Live
124K+
Vehicles Monitored
11 days
Avg. Onboarding