RbotFleet Management
The command center for autonomous fleet operations, built to scale.
RbotFleet is developing the operational infrastructure needed to own, support, maintain, monitor, stage, and scale commercially available autonomous vehicle fleets as the market opens.
Built for operators, not just riders
Every dashboard, alert, and workflow is designed to produce a demonstrable operating discipline for future autonomous vehicle fleet operations.
Advanced Vehicle Tracking
Real-time location, battery, charge state, and TPMS across the fleet, with home/hub/away classification for every vehicle.
Preventative Maintenance
Automated alerts for tire wear, idle time, geofence breaches, and low battery — before they become downtime.
Charging & Dispatch Discipline
Charging session detail and utilization views keep vehicles revenue-ready instead of idle.
Financial Readiness
Clean books, filed documents, and capital readiness tracking so the business can evaluate autonomous fleet opportunities quickly.
Human-in-the-Loop Dispatch
Every proposed action — a reply, a payment, a dispatch — surfaces with rationale for operator approval.
Network-Ready Architecture
Vehicle-agnostic data model built to scale from 2 vehicles today to a dedicated Inland Empire hub tomorrow.
RbotFleet — Preparing for the Autonomous Mobility Era
RbotFleet is positioning itself as a Southern California autonomous fleet operator and mobility infrastructure partner by building the operating layer required to keep future driverless fleets charged, monitored, maintained, clean, staged, available, and ready for service.
Autonomous Vehicle Integration
Preparing fleet systems to support commercially available autonomous vehicles and future robotaxi platforms.
Fleet Telemetry
Centralized monitoring of vehicle status, battery condition, location, mileage, connectivity, and operational health.
Charging
Coordinated charging strategies designed to maximize vehicle availability while controlling energy and infrastructure costs.
Vehicle Inspection
Repeatable inspection workflows to verify vehicle condition before and after operating periods.
Cleaning & Turnaround
Operational processes for passenger-ready vehicle cleaning, servicing, and rapid redeployment.
Maintenance Monitoring
Data-driven identification of maintenance needs, abnormal conditions, tire issues, vehicle faults, and service requirements.
Vehicle Staging
Strategic positioning of vehicles at operating hubs or distributed locations based on demand and charging requirements.
Autonomous Fleet Operations
Scalable support for future driverless fleets, including readiness monitoring, exception management, service coordination, and fleet availability.
Southern California focus
RbotFleet is initially focused on Los Angeles County, Orange County, and the Inland Empire, with a scalable operating model designed to expand beyond Southern California as vehicle availability, infrastructure, and applicable approvals permit.
Preparing for Cybercab
Tesla's Cybercab represents the type of purpose-built autonomous vehicle RbotFleet is preparing to support. RbotFleet intends to evaluate Cybercab fleet opportunities as Tesla makes commercial vehicle purchasing available and as applicable regulatory approvals permit deployment.
Designed from pilot to network
RbotFleet's software, infrastructure planning, operating procedures, and distributed hub concept are being built from the beginning for repeatable deployment.
“Autonomy drives the vehicle. RbotFleet keeps the fleet operational.”
Building the Infrastructure Behind Autonomous Mobility
RbotFleet is preparing to operate commercially available autonomous vehicles, including Tesla Cybercab, as regulatory approval and vehicle availability permit.
Even fully autonomous vehicles still require charging, inspection, cleaning, maintenance, monitoring, staging, infrastructure, and exception management. RbotFleet is developing the systems, infrastructure, and operating model needed to support that next generation of transportation.
Currently operating
RBOT1
Black Stallion
“RbotFleet is building the operating discipline, infrastructure model, and monitoring layer needed for autonomous fleets to become dependable real-world transportation assets.”