AI Driver for Fleet Operations

Remote driving + AI-powered safety for your fleet vehicles

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Why Fleets Need Smarter Driving

  • Market Scale — Autonomy Wave

$500B+ global autonomous vehicle market by 2030.

  • Cost Pressure — Efficiency Is a Must

Fleet operations spend 50%+ on drivers, maintenance, and idle time.

  • Market Readiness — Early Adoption

1000+ large campuses operate internal fleets across North America.

Our Solution

AI Driver turns your existing fleet into smart, safe vehicles.

  • Retrofit, Not Replace: Keeps your fleet running with minimal downtime.

  • Works Across Fleet Types: Micro-EVs, delivery pods, campus shuttles, compact trucks, and more.

  • Built for Growth: NVIDIA Jetson compute that scales with your needs.

  • Safety-First Design: Multisensor fail-safes, emergency stop, and OTA updates from day one.

What’s Inside AI Driver

  • Tele-Driving Module: Operate vehicles remotely through a secure multi-camera dashboard.

  • AI Safety Layer: Real-time monitoring with automatic braking, collision alerts, and safe-stop behavior.

  • Fleet Integration: Simple CAN-bus or actuator interface.

  • Autonomy Roadmap

  • Key Features

    • Tele-Drive

    • Emergency Stop

    • Collision Alert & Video Telemetry

    Typical Use Cases

    • First-Mile Sorting Carts Inside DCs

    • Warehouse Or Plant-Yard EVs

    • Gated-Campus Vehicle Repositioning

  • (adds to Level 1)

    Key Features

    • Lane-Keep Assist At Low Speed

    • Adaptive Speed / Stop-And-Go

    • OTA Diagnostics & Software Updates

    Typical Use Cases

    • Campus Mail Vans & Utility Buggies

    • Industrial-Park Service Carts

    • Curb-Side Delivery Pods On Bike Lanes

  • (adds to Levels 1 & 2)

    Key Features

    • Path-Planning On Mapped Routes

    • Auto Return-To-Base / Docking

    • Dynamic Obstacle Evasion (LiDAR + Vision)

    • V2X Messaging With Gates & Crossings

    Typical Use Cases

    • Security Patrols Around University Grounds

    • Neighborhood Parcel Drop-Off Vehicles

    • Micro-Transit Shuttles In Low-Speed Zones

  • (adds to Levels 1–3)

    Key Features

    • Map-Free Navigation (SLAM-Based)

    • Fleet AI & Mission Scheduler

    • Self-Charging / Battery-Swap Docking

    • Single Operator Supervises ≥ 5 Vehicles

    Typical Use Cases

    • Urban Delivery Corridors

    • Closed-Campus Logistics Fleets

    • Smart Yard / Port Drayage With Zero Drivers

Where Telebotics Works

  • Urban Delivery Fleets:Safer, cost-efficient last-mile operations.

  • Campus & Corporate Fleets: Flexible transport and logistics on controlled grounds.

  • Industrial & Logistics Sites: Smart fleet operations without heavy upfront investment.

  • Scalable Operations: Start small and keep improving as you grow.