We've always said the most important work at Arrive AI happens at the seams — where hardware meets software, where machines meet people, and where today's deployments become tomorrow's network. This episode lives at every one of those seams.

First, Attila Nagy walks us through what it actually takes to engineer a delivery endpoint that has to work outdoors, across climates, alongside autonomous robots and traditional couriers — every time. His perspective makes clear why human-machine collaboration isn't a slogan at Arrive AI; it's a design principle baked into how the Arrive Point™ is built.

Second, the team reflects on a milestone that doesn't come around often: one year since Arrive AI began trading on the NASDAQ under the ticker ARAI. Dan and Kylie share what that first year has looked like from the inside — the lessons, the discipline, and the long-term conviction guiding what comes next.

Third, the conversation turns to the recently announced standstill agreement with Streeterville Capital, which Arrive AI initiated to simplify its capital structure. The company has framed it as a shareholder-friendly step taken following continued operational progress — and the episode covers what that means for the path forward.

And finally, Dan invites shareholders, partners, and the broader Arrive AI community to join us for our upcoming NASDAQ bell-ringing ceremony — a moment to mark the anniversary together.

Arrive AI is building the delivery infrastructure layer for autonomous logistics. Our flagship Arrive Point™ Network deployment is live at Hancock Health in Greenfield, Indiana, where Ottonomy's autonomous Ottobots transport biospecimens between the Cancer Center and the Laboratory — every handoff digitally logged with full chain-of-custody traceability.

What we cover in this episode:

✅ Inside Arrive AI's engineering approach with mechanical engineer Attila Nagy
✅ How the Arrive Point™ is designed for human-machine collaboration
✅ Reflections on one full year trading on the NASDAQ under ARAI
✅ Context on the Streeterville Capital standstill agreement
✅ An invitation to our upcoming NASDAQ bell-ringing ceremony

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Links:
🔹 Website: https://www.arriveai.com/
🔹 Solution: https://www.arriveai.com/solution
🔹 Healthcare: https://www.arriveai.com/healthcare
🔹 Investor Relations: https://investors.arriveai.com/
🔹 Standstill Agreement Release: https://investors.arriveai.com/news-releases/news-release-details/arrive-ai-advances-shareholder-friendly-capital-strategy
🔹 Request a consultation: https://www.arriveai.com/contact

Before an Arrive Point™ is deployed in the real world, it's tested and refined in simulations.

In this episode of The Dan Show, Dan and Kylie sit down with Tanmay Haldankar, one of the robotics engineers powering Arrive AI's (NASDAQ: ARAI) technical operations.

Tanmay walks through how the team uses NVIDIA Isaac Sim and NVIDIA Blackwell GPU workstations to train, test, and refine the next-generation Arrive Point™ in photorealistic, physics-based environments — accelerating development and improving reliability long before our systems touch the real world.

👉 Visit our site: https://www.arriveai.com/
👉 Investor relations: https://investors.arriveai.com/
👉 Request a consultation or demo: https://www.arriveai.com/contact

Dan and Kylie share the big news that our show is now syndicated on major podcast platforms, then we confront two NASDAQ notices head-on with the clearest facts we can share. We explain what the notices mean, why we believe the upside is bigger than the downside, and what we are building next across AI, investors, and patents.

• two NASDAQ notices tied to market cap and public float
• how we think about protecting shareholder value and staying transparent
• the long-game view of going public as a pre-revenue company
• upcoming earnings call as the place for more detail
• new multi-user Arrive Point patent and growth of the patent portfolio

Stay tuned and subscribe to stay updated on the latest.

We talk with Ankeith, CEO and founder of Sky Air, about why India is sprinting ahead in autonomous drone delivery and what it takes to scale from impressive pilots to millions of real drops. We break down why physical AI infrastructure is the make-or-break layer for last-mile autonomy, then zoom in on the tech and operations behind Level 4 and Level 5 drones.

• Our partnership in India and why a drone partner is essential to bringing the network to market
• Sky Air’s delivery scale, growth goals, and reported carbon emissions savings
• Why physical AI infrastructure and standardized delivery points unlock reliability
• Where humanless delivery starts making sense, including secure tech parks
• The viral joint demo and what it signals about public readiness
• How NVIDIA Jetson, Omniverse testing, and autonomy levels connect to safer scaling

Stay tuned.

We celebrate John Galena’s appointment to the CVS board while he stays on our board, and we share why that healthcare alignment matters. We also lay out why we believe Arrive AI is stronger than ever on people, cash, facility, and IP even as the stock price hits new lows.
• John Galena joining the CVS board while remaining on our board
• Why healthcare leadership and Fortune 500 validation matter
• Our internal snapshot on team strength, cash position, facility, and IP
• The gap between intrinsic value and market cap at a sub-dollar stock price
• Execution mode, go-to-market momentum, and what “day one” means
• Autonomous delivery AI as the intersection of robotics, delivery points, and drones
• Why a unified ecosystem creates outsized synergy
• Our approach to transparency, syndication, and not forcing a fixed cadence
• Focus on near-term deployments close to home while moving fast globally

If you believe in what we're doing and where we're going, stay on board, jump on board, tell your friends, family, coworkers, tell yourself um this is our moment.

I want you to all help me build this company to twenty dollars a share right now.

We sit down with Rithiker Vijay, CEO and founder of Autonomy, to talk about what finally makes delivery robots scale in the real world. The big unlock is not just better navigation, but smart infrastructure that removes the human-in-the-loop handoff and turns pilots into repeatable ROI.

• why the next decade belongs to physical AI and robotics
• Nvidia’s ecosystem and why partners matter even for startups
• Rithiker’s path from college robotics to BMW urban autopilot work
• why warehousing robots scaled faster than public delivery robots
• the missing infrastructure layer that public robots need
• how Arrive Points plus robots create seamless end-to-end logistics
• hospital deployments and why freeing nurse time beats “labor savings” alone
• humanoids as the future and why timelines can mislead
• context-aware autonomy using edge AI and vision-language models
• rapid proof of value in a large pharma facility workflow
• autonomous deliveries in remote mining communities in Australia

We look our Arrive Ai shareholders in the eye, lay out eight months of real progress, and bring in our tech lead to explain how a software-first platform becomes the backbone for autonomous delivery. The build is accelerating toward end-to-end demos, with major partners leaning in.

• eight-month milestones from hiring to HQ and NVIDIA Connect
• why the share price lags execution
• team depth across robotics, vision, data, and DevOps
• software-first architecture for an Arrive OS
• vendor selection with NXP, Qualcomm, AMD
• simulation, benchmarking, and cloud AI tooling
• vision for a distributed data center at the edge
• power, connectivity, and iterative hardware trade-offs
• converging workstreams toward end-to-end prototypes
• CES momentum and upcoming events in India, healthcare, and finance

Call us at 317-694-7520

Hosted by Dan O'Toole