Most conversations about autonomous delivery start with the vehicle. A drone lands on a rooftop. A robot rolls through a crosswalk. The footage looks great, but it skips the harder question: what happens when the machine arrives, and nobody’s there to take the package?
That gap is where autonomous delivery breaks down. Packages sit exposed. Chain-of-custody falls apart. Temperature-sensitive goods degrade. Staff get pulled from their real work to wait for a machine. Even though autonomy is achieved, the customer experience becomes worse at the handoff – the exact moment where it should be getting better.
We built Arrive AI (NASDAQ: ARAI) to close that gap. Based in Indianapolis, we make patented, AI-powered smart receptacles called Arrive Points™ and connect them through our Autonomous Last Mile (ALM) software platform. Together, these form the Arrive Point Network: a physical and digital infrastructure that makes handoffs between people, robots, and drones asynchronous, secure, and verifiable.
An Arrive Point is a secure, climate-assisted smart receptacle engineered to work with autonomous vehicles, human couriers, and end users. Each unit restricts access to authorized people only. Secure access is guaranteed through RFID or a PIN. Its climate-assisted feature is a capability protected by one of our nine issued U.S. patents, with four more pending.
The Arrive Point is the start and endpoint that unlocks the full potential of autonomous delivery, and it has immediate and impactful applications in healthcare, manufacturing, and commerce.
Connect multiple Arrive Points through our ALM platform and they become a network with two key layers. The software layer has the potential to provide real-time tracking, chain-of-custody controls, and route optimization that coordinates which robot, drone, or courier picks up from which Arrive Point and delivers to which destination. While the physical layer (the Arrive Point) holds items in secure, climate-assisted storage until the correct recipient retrieves them.
Here’s a healthcare scenario that illustrates that concept:
A nurse drops a specimen in an Arrive Point and returns to their patient. A robot picks up the specimen and carries it across campus. The robot delivers the specimen to another Arrive Point. A lab technician scans their RFID card or enters their PIN to retrieve the specimen.
Smart, secure, and designed to enhance logistical workflows without increasing manual labor, enabling medical staff to focus more on patient care
We’ve added TOF sensors to our current generation AP3 units. These capture low-resolution spatial data processed by edge AI, eliminating the need for cameras or expensive onboard processors.
With access to our network, couriers (whether human or robotic) are notified which Arrive Points are holding items ready for pickup and how much cargo space is available for their delivery.
That replaces the current industry norm of opening every receptacle on a route just to check if there’s enough space or if something needs to be picked up. This means improved operational efficiency because there will be fewer blind stops, less fuel burned, and shorter routes.
Our network is for everyone; it doesn’t care who or what is delivering the packages. The agnostic nature of our Arrive Point and Arrive Point Network is how we’re able to accommodate various logistics, drone and robotics partners that each have their own strengths and best use cases.
We’ve proven that our infrastructure works with conventional human couriers as well as drone and robotics innovators like Ottonomy’s L4-autonomous Ottobots and Skye Air Mobility’s drone fleet. It is also capable of connecting with building systems like doorbells, lighting, and security to provide added layers of functionality.
We aren’t competing with autonomous vehicle companies. Quite the opposite. We’re building the physical and digital infrastructure that those companies need to have truly scalable and secure unattended delivery operations.
If you’re a drone operator or robotics company, you’re connecting your fleet to our Arrive Point Network so your machines can perform extended, secure, and efficient verified handoffs without physical human intervention. Our network can also handle the orchestration of routes and couriers.
Drone and robotics companies are running into the same walls over and over again. These aren't small inconveniences. They're the barriers standing between pilot programs and profitable, scalable operations. The Arrive Point Network was built to knock them down.
Delivery costs in the drone industry can be as high as $60 per package depending on the operator and model. That math doesn't work at scale, and sustained profitability is still unproven.
According to a 2025 cost comparison of drones versus traditional couriers, a hybrid delivery model that combines drones and ground-based couriers delivers 48% cost savings over using either method alone. In urban environments when drones traveled less than 5km with lightweight packages, they cut costs by 62% compared to traditional couriers. But for rural routes beyond 20km or payloads over 5kg, ground couriers still win on price.
The takeaway is clear: no single delivery method is the most cost-effective in every scenario. Intelligent and secure infrastructure that unites autonomous delivery methods will allow the logistics industry and logistics companies to grow exponentially.
That's exactly what the Arrive Point Network is designed for. It doesn't bet on one mode of delivery. It connects drones, ground robots, and human couriers into a single coordinated network and routes each delivery through the most efficient combination of vehicles available. A drone handles the first leg where it's cheapest. A robot or courier picks up at the Arrive Point and covers the segment where they're most cost-effective.
The platform makes the routing decision automatically based on distance, payload, and cost thresholds and notifies the most suitable courier. This is how you fix unit economics. Not by making drones cheaper in isolation, but by making sure every leg of a delivery is handled by the right vehicle at the right cost.
Robots and drones can move packages. But when they arrive at the destination, someone still must be there to receive, verify, and retrieve the delivery. That reintroduces human labor, scheduling dependencies, and costly delays back into a process that's supposed to be autonomous and asynchronous.
Arrive Points eliminate these deficiencies. They're secure, AI-powered endpoints that accept deliveries from any drone or robot, verify receipt, and hold the package until an authorized person retrieves it. No one needs to be standing there when the delivery lands. The handoff is asynchronous, verified, and fully unattended.
Drone and robotics companies are building vehicles with no standardized place to deliver to – beyond a front lawn or a parking lot. Electric vehicle adoption is currently facing a similar roadblock with a lack of universal and reliable charging infrastructure.
When it comes to autonomous delivery, there are no universal landing pads, no secure drop points, and no shared network of endpoints that work across platforms. Every operator is forced to build or improvise their own solution, which fragments the ecosystem and slows widespread adoption.
The Arrive Point Network provides that missing layer. Arrive Points are hardware agnostic. They work with ground robots, drones, and human couriers alike. One universal endpoint that any delivery method can use, deployed as a connected network and managed through a single platform.
Without a secure endpoint, packages get left on doorsteps and are left exposed to theft, inclement weather, and tampering. For high value or sensitive goods like pharmaceuticals and medical specimens, that's a nonstarter. Liability stacks up, and trust erodes.
Arrive Points feature secure access control, anti-theft mechanisms, and Climate Assist for temperature-sensitive items. The ALM platform tracks and authenticates every delivery from the moment it enters an Arrive Point until an authorized recipient retrieves it. That's a verified, documented chain of custody at the exact point where risk, delay, and liability tend to concentrate.
These aren't future problems. They're today's barriers, and they're the reason most drone and robotics companies are stuck in pilot mode. The Arrive Point Network eliminates them at the infrastructure level, so operators can focus on what they do best: building and flying the vehicles.
The autonomous delivery industry is moving fast. The companies that plug into the right infrastructure now will be the ones that scale first and sustain profitability. The ones still improvising handoffs and absorbing unsustainable delivery costs won't be far behind. They'll be left behind.
If you're a drone operator or robotics company ready to solve the infrastructure gap, we should talk. Visit arriveai.com to schedule a consultation or request a live demo of the Arrive Point's capabilities.
Our deployment at Hancock Regional Hospital in Greenfield, Indiana, offers the clearest public view of how we implement. Hancock Health is a Mayo Clinic Care Network member. The two-year partnership launched in May 2025 is our first revenue-generating deployment. Here is our phased approach to implementation that we’re iterating and refining for future clients.
Phase 1: Readiness Assessment
Deployment starts before our hardware shows up. Our team evaluates existing logistics workflows and pinpoints where manual transport is eating time and money. At Hancock, medical staff were making more than a dozen trips daily between clinics and the hospital lab to carry specimens. Each trip pulled nurses away from patients and delayed results.
Phase 2: Installation and Route Development
Arrive Points are installed at strategic locations. At Hancock, we placed units near the Sue Ann Wortman Cancer Center, laboratories, and surgical areas. Route development along with our robotic parter Ottonomy followed. Together, we charted the paths robots will travel between points.
Phase 3: Integration
This is when we connect our ALM platform to facility operations and start orchestrating deliveries. Staff drop items into the nearest Arrive Point. The platform dispatches robots along optimized indoor and outdoor routes. Items stay in secure, climate-assisted storage until someone with authorization retrieves them when it’s convenient for them.
We published a white paper in March 2026 from this deployment that documented several findings:
Phase 4: Expansion
Based on our data and confidence in our solution, we are currently evaluating more opportunities to eliminate manual transport in Hancock Health's hospital workflows. This includes connecting off-campus locations and using drone transport for urgent deliveries.
Our ultimate goal is to integrate ground robotics, courier networks, and drones across Hancock Health’s full network of more than 30 locations in East Central Indiana.
The Arrive Point Network doesn’t replace drones or robots. It makes them operationally complete by solving the handoff, route economics, chain-of-custody, and the last fifty meters that trip up most autonomous delivery programs.
For logistics companies: if your operations involve high-frequency routes, regulated goods, or environments where recipients can’t always be present, our Arrive Point Network addresses a specific structural problem in your delivery chain.
For drone and robotics companies: the question isn’t whether your vehicle can navigate on its own. You’ve proven autonomy works, and that is where the future of delivery is headed. The real question is whether the infrastructure exists that enables your operations to scale efficiently.
We’re here to tell you that infrastructure does exist – it’s the Arrive Point Network.
Additional Resources
White Paper: “Autonomous Systems in Active Care Environments”
Company Website: arriveai.com
Investor Relations: Alliance Advisors IR, ARAI.IR@allianceadvisors.com
Media Contact: media@arriveai.com
Stock Ticker: NASDAQ: ARAI
