ARAI News & Events

Reports FY25 revenue $133,000. "Running Arrive AI has been the journey of a lifetime," said Founder and CEO Dan O'Toole. "In 2025 and in recent months, we have focused on the fundamentals: building a strong team, advancing our Arrive Point platform, and proving the technology in real-world settings like our pilot with Hancock Health. These efforts have strengthened the infrastructure layer we are creating for autonomous logistics and set a solid foundation for our next phase of growth. We believe there will be a moment where adoption accelerates rapidly. Until then, we are focused on disciplined execution, building the right product, forming the right partnerships, and deploying real-world systems that prove value."

Arrive AI announced the issuance of its tenth U.S. patent, further strengthening its intellectual property portfolio and reinforcing its role as a foundational infrastructure provider in the rapidly scaling autonomous delivery economy. This newly patented capability allows multiple people to use the same secure Arrive Point. Each unit can handle packages for many users, with built-in storage and sorting to manage deliveries and pickups efficiently.

Arrive AI announced the publication of a new white paper, "Autonomous Systems in Active Care Environments: Insights from Arrive AI's Live Hospital Deployment," sharing critical insights from a demonstration at Hancock Regional Hospital in Indiana. The white paper examines how automation performs in day-to-day hospital operations, where timing, human behavior, physical layout, and trust drive real-world results and long-term adoption. It also demonstrates how autonomous logistics can create durable efficiency gains in large, multi-stakeholder environments. In this initial deployment, biospecimen transfers were automated using Arrive AI's Arrive Points as fixed, secure handoff locations connected to an autonomous ground robot running between the cancer center and the hospital laboratory. Key Insights: Sensor reliability affects workflow timing: The system must consistently recognize item presence at handoff under normal operating conditions. Clear signals at the point of interaction matter: The handoff moment is about responsibility, not about system status, and requires clear confirmation. Connectivity is the hidden limiting factor: Reliability is not determined by route length but by environmental stability. Multidirectional movement is the real workflow: Supporting all directions of material movement is essential to maintaining the natural rhythm of clinical workflows. Automation should fit workflows and surface adjustments: Effective automation fits current workflows while clearly signaling when small adjustments may be needed.

Arrive AI files to sell 10M shares of common stock for holders