Fleetmanagementsoftwarebuiltforvehiclesinthethousands.
GPS tracking, route optimization, driver management, dispatch operations, fleet analytics, and ELD compliance. Scale-tested at 30,000+ vehicles in production with sub-second telemetry latency.
Vehicles tracked in production
Telemetry ingestion latency
GPS pings processed per minute
Fleet delivery footprint
Fleet platforms across six categories.
GPS tracking platforms
Real-time vehicle location, route history, geofencing, alerts. Scale-tested at fleets of 30,000+ vehicles. Sub-second telemetry ingestion to map UI.
Route optimization
Multi-stop route planning with vehicle constraints, time windows, and traffic awareness. Integration with Google Maps Platform, OSRM, or specialized vehicle-routing solvers.
Driver management
Driver app for navigation, job assignment, proof of delivery, photo capture, and signature collection. Optimized for all-day battery life and intermittent connectivity.
Dispatch operations
Operations dashboard for live fleet view, dispatch queue, driver assignment, exception handling, and customer communication. Built for ops teams running fleets in the hundreds to thousands.
Fleet analytics
Driver behavior analysis, fuel efficiency tracking, idle time analysis, and route performance reporting. CQRS pattern so analytics never slow down the live tracking layer.
Compliance and ELD integration
Hours-of-service tracking, DVIR (driver vehicle inspection reports), and ELD compliance for US fleets. Integration with FMCSA-certified ELD providers.
Three ways to engage on fleet platforms.
Architecture audit
2 weeks
Review of an existing fleet platform's telemetry pipeline, data model, dispatch system, and driver app. Output is a written gap analysis with prioritized scaling roadmap.
Fleet platform pod
3-9 months
Dedicated engineering pod for fleet platform builds, scaling work, or major feature launches. Pod includes engineers familiar with telemetry pipelines and dispatch operations.
Long-term partnership
12+ months
For fleet platforms operating at scale where the partnership becomes part of ongoing engineering operations. Includes telemetry platform maintenance, integration upkeep, and feature engineering.
Telemetry at scale teaches you what holds.
Fleet management and EdTech share the same hard problem: high-volume real-time data ingestion that has to stay correct under load. Our multi-tenant EdTech platform serving 250K+ daily users runs the same telemetry, queue, and time-series patterns we apply to every fleet engagement. The fleet tracking work behind our fleet tracking case studies uses the same engineering discipline.
FLEET TRACKING CASE STUDYHow we built fleet tracking infrastructure handling 30,000+ vehicles in real time.Read the case study →Questions fleet operators ask.
How do you handle GPS data ingestion at scale?+
Time-series database (PostgreSQL with TimescaleDB, or InfluxDB) tuned for write-heavy workloads. Ingestion via MQTT or HTTP from devices, with backpressure handling and dead-letter queues for retry. We have run ingestion pipelines for fleets in the tens of thousands of vehicles with sub-second telemetry frequency.
Real-time tracking versus periodic reporting, what is the right cadence?+
Depends on the use case. Long-haul logistics: 1-5 minute updates suffice. Last-mile delivery: 10-30 seconds for ETA accuracy. Driver behavior monitoring: sub-second for hard-braking and acceleration events. Most fleets use multiple cadences for different data types from the same device.
Route optimization, buy or build?+
Buy. Route optimization at scale is a specialized problem (vehicle routing problem variants, traffic-aware routing, time-window constraints) and the SaaS market has mature solutions like Google Maps Platform Route Optimization, OptaPlanner, and PTV xServer. We build the workflow layer on top, dispatch UI, driver app, customer notifications, and integrate the optimization engine.
What about IoT device integration beyond GPS?+
Common additions include fuel-level sensors, temperature sensors for cold-chain, driver behavior cameras, OBD-II diagnostic data, and cargo door sensors. Each device type has different protocols (MQTT, CoAP, custom proprietary). We build adapter layers so the platform sees consistent data regardless of upstream device variation.
Driver app design, what matters?+
Battery life and offline support matter more than UI polish. Drivers run the app for 8-12 hours a day. Aggressive battery optimization, background tracking that survives OS restrictions, and offline route caching are non-negotiable. UI matters but only after the durability basics are solved.
Compliance, DOT, ELD, hours-of-service?+
For US fleets, ELD (Electronic Logging Device) compliance is required for hours-of-service tracking. We build to FMCSA's ELD specification or integrate with FMCSA-certified ELD providers. International compliance varies, UK, EU, and AU have their own driver-hours regulations we have built for.