『The Dan Show』のカバーアート

The Dan Show

The Dan Show

著者: Dan O'Toole
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The Dan Show is a transparent conversation series led by Arrive AI CEO and Founder Dan O’Toole, focused on communicating directly with stakeholders about the company’s progress, the future of autonomous delivery, and the realities of building transformative technology.

Dan believes investors, partners, and the public deserve straightforward communication—not filtered corporate messaging. Through open discussions, he shares insights into innovation, entrepreneurship, logistics, AI, and the evolving infrastructure behind modern delivery systems, while also addressing the opportunities and challenges that come with building a new category of technology.

The series is moderated by Emmy Award–winning journalist Kylie Conway, who helps guide the conversation and bring clarity to complex topics.

The Dan Show offers a candid look at the ideas, decisions, and developments shaping the future of autonomous delivery while keeping stakeholders informed through direct, transparent dialogue.

© 2026 The Dan Show
個人ファイナンス 経済学
エピソード
  • We Built Our Own Stack To Control The Network
    17 分
  • One Year on NASDAQ: Engineering, Strategy & What's Next
    2026/05/21

    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

    👍 Like, subscribe, and turn on notifications so you don't miss future episodes of The Dan Show.

    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

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    25 分
  • Training Autonomous Delivery in Simulation
    2026/05/21

    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

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    19 分
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