Facts

• Segment: Delivery
• Country: United States
• Founded: 2020
• Website: https://www.arriveai.com

Profile sections

• Summary
• Market context
• Facts
• Context / Market Position
• Events
• Team
• Supply chain relationships
• Relationships
• Context tags
• Customers and deployments
• Sources

Summary

Arrive AI develops autonomous delivery infrastructure for drone and robotic logistics. Its smart mailbox and delivery-management systems are designed to receive packages from autonomous vehicles, drones or couriers, giving operators a secure handoff point for last-mile and unattended delivery workflows.

Market context

Arrive AI is not a drone builder, but it sits in the delivery robotics stack as endpoint infrastructure for autonomous logistics networks. Its platform is relevant because robot and drone delivery adoption depends on secure, verifiable handoff infrastructure as much as vehicle autonomy. Arrive AI owns the Arrive Point delivery endpoint platform and related autonomous delivery network infrastructure. It does not build delivery drones or ground robots as its core product.

• Capability: Secure delivery endpoints for robot, drone and courier handoff Chain-of-custody controls for unattended delivery Climate-assisted package storage Autonomous delivery network integration AI, computer vision a…
• Strategic position: Infrastructure layer for autonomous last-mile delivery networks. Arrive AI sits between vehicle operators, logistics providers, healthcare networks, retailers and end recipients, where reliable packa…

Facts

• Website: https://www.arriveai.com
• HQ: Fishers, United States
• Founded: 2020
• Ticker: ARAI / NASDAQ
• Segment: Delivery

Last-inch infrastructure for autonomous delivery networks

Arrive AI builds smart delivery endpoints and network infrastructure for autonomous and human-delivered package exchange. Its Arrive Point platform is designed to receive deliveries from drones, ground robots and couriers while maintaining security, verification and chain-of-custody controls.

• Target environment: Logistics sites, healthcare networks, enterprise delivery locations, retail operations, smart-city testbeds and unattended package handoff points.
• Deployment model: Infrastructure and network-as-a-service model built around Arrive Point endpoints and supporting software.
• Customer context: Logistics providers, healthcare networks, retailers, autonomous vehicle developers and enterprises that need secure unattended delivery.
• Workflow context: Package receipt, pickup, delivery verification, climate-assisted storage, route handoff, chain-of-custody and autonomous delivery endpoint coordination.
• Commercial maturity: Public company with patented delivery infrastructure, public demonstrations and reported healthcare delivery activity, but broad autonomous delivery scale remains early.
• Market position: Endpoint infrastructure provider for autonomous last-mile networks rather than a vehicle OEM.
• Adoption constraints: Adoption depends on drone and ground-robot delivery network maturity, regulatory conditions, customer integration and placement of physical infrastructure.
• Adjacent context: Adjacent context includes delivery robotics and logistics automation via shared requirements in robot handoff, secure package exchange, routing, verification and operational monitoring.
• Source confidence: high

Events

• 2026-04-29 - Partnership - Arrive AI deploys NVIDIA Isaac Sim and Blackwell GPU systems for autonomous delivery infrastructure development - Arrive AI said it is using NVIDIA Isaac Sim to train AI models in physics-base…
• 2026-04-06 - Capability - Arrive AI secures tenth U.S. patent for autonomous delivery infrastructure - Arrive AI announced its tenth U.S. patent related to autonomous delivery infrastructure.
• 2026-02-10 - Demonstration - Arrive AI demonstrates combined ground robot and drone delivery system - Arrive AI demonstrated an end-to-end autonomous delivery sequence using both a ground robot and a drone delivering to…
• 2025-10-28 - Deployment - Arrive AI says autonomous medical deliveries are underway at Hancock Regional Hospital - Arrive AI announced that fully asynchronous autonomous medical deliveries were underway at Hancock Regio…
• 2025-06-04 - Partnership - Peachtree Corners launches secure automated delivery with Arrive AI partnership - Peachtree Corners announced that Arrive AI was joining the Curiosity Lab ecosystem with its autonomous last-mi…

Team

• Dan O'Toole - Founder and Chief Executive Officer - Central founder and executive behind Arrive AI autonomous delivery infrastructure strategy and Arrive Point network.
• Mark Hamm - Chief Operating Officer, Director
• Neerav Shah - Chief Strategy Officer, Director
• Todd Pepmeier - Chief Financial Officer

Supply chain relationships

• T-Mobile USA - 5G connectivity - T-Mobile 5G network integration for Arrive AI operations at Peachtree Corners Curiosity Lab (June 2025).

Relationships

• City of Peachtree Corners - Curiosity Lab deployment - Peachtree Corners deployed Arrive AI secure automated delivery within Curiosity Lab, integrating Arrive Points with the city innovation testbed.

Context tags

• Autonomous delivery infrastructure - Peer Group
• Last-mile delivery infrastructure - Workflow
• Drone Delivery Endpoint - Workflow
• Ground Robot Delivery Endpoint - Workflow
• Healthcare Logistics - Customer Environment
• Chain-of-Custody Infrastructure - Capability
• Logistics Automation - Customer Environment
• Simulation Training Stack - Stack Layer
• Public Company - Commercial Stage

Customers and deployments

• Active Customer Operations - autonomous medical deliveries underway at Hancock Regional Hospital - 2025-10-28 - Hancock Regional Hospital - autonomous medical delivery - Arrive AI said autonomous medical deliveries were…