Autonomy can drive the vehicle. RbotFleet keeps the fleet roadworthy, charged, monitored, clean, staged, and ready — the operational layer underneath reliable service.
Battery, SOC, range, charge state, TPMS, and location for every vehicle, with home/hub/away classification.
Automated alerts for tire wear, idle time, geofence breaches, and low battery — before they become downtime.
Charging session detail and utilization views keep vehicles revenue-ready instead of idle.
Clean books, filed documents, and proof-of-funds tracking so the business is ready for what's next.
Every proposed action — a reply, a payment, a dispatch — surfaces with rationale for operator approval. Nothing sends or spends itself.
A vehicle-agnostic data model built to scale from 2 vehicles today to a dedicated multi-hub fleet.
Vehicle integrations, fleet APIs, and secure command workflows connect supported vehicles to RbotFleet as platforms become commercially available.
Live push data (with a polling fallback for the fields telemetry doesn't cover) flows into a central database.
Dashboards, alerts, and an AI query layer turn raw telemetry into daily operating decisions.
Dispatch and utilization views, charging session detail, tire/brake wear estimation, a hub readiness board, and a fuller alert escalation tree — all built on data the platform already collects.