FleetPulse predicts demand, optimizes redistribution, and automates charging logistics — so your operations team stops firefighting and starts scaling.
ML models trained on historical patterns, real-time events, and weather data predict demand at the street-corner level. Every vehicle goes where riders actually are — not where they were yesterday.
FleetPulse identifies imbalance and generates redistribution routes automatically. Field teams follow the route, not a spreadsheet. Surge zones get coverage before riders arrive.
Know exactly which vehicles need charging, when, and where to route them. Eliminate dead-fleet incidents and optimize for peak availability during high-demand windows.
One dashboard to rule your entire fleet. Drill from portfolio-level KPIs down to individual vehicle status. Alerts surface automatically — no monitoring required.
FleetPulse integrates with any IoT-connected vehicle via standard APIs or our hardware-agnostic SDK. No ripping out existing telematics. Works with your current hardware.
Our models ingest historical ridership, weather, events, and real-time telemetry. Within days, demand forecasts are running at street-corner granularity across your entire service area.
FleetPulse continuously optimizes vehicle positioning, surfaces actionable alerts, and routes redistribution crews automatically. Your team goes from reactive to proactive — then to strategic.
Bird, Lime, and Tier spent years and tens of millions building the demand prediction, redistribution logic, and charging optimization that makes their operations actually work. That technology gave them a structural advantage no regional operator could close.
FleetPulse makes that same intelligence available to any operator — regardless of fleet size, vehicle type, or city. You no longer need a team of ML engineers to compete with the majors.
Every urban mobility operator — from 50 vehicles to 50,000 — deserves the same operational edge that used to require a $100M engineering budget.