Arrive AI
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Arrive AI (ARAI) investor relations material

Arrive AI Q4 2025 earnings summary

Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.
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Q4 2025 earnings summary15 Apr, 2026

Executive summary

  • Focused on building a foundational network for autonomous logistics, emphasizing secure delivery endpoints and a robust IP portfolio, with a vision to scale deployments from early pilots to mass adoption over the next five years.

  • Leadership expanded with key hires, including a T-Mobile executive and experienced sales leader, to accelerate commercialization and strategic partnerships.

  • AI and robotics are central to product development, enabling operational efficiencies and reducing future hiring needs.

  • Strategic focus on scaling the autonomous delivery network, expanding the patent portfolio, and validating technology through real-world deployments.

Financial highlights

  • Q4 2025 revenue was $15,000, all from recurring subscription revenue; full-year revenue totaled $113,000.

  • Q4 net loss was $2.7 million, up from $1.3 million year-over-year; full-year net loss was $12.8 million versus $4.5 million prior year.

  • Operating expenses rose to $10.5 million from $4.6 million year-over-year, driven by higher G&A, R&D, and sales and marketing costs.

  • Net loss per share was $(0.40) versus $(0.16) in 2024, on 32.2 million weighted-average shares outstanding.

  • Ended the year with $2.1 million in cash; drew $10 million from a credit facility in January 2026, providing several months of runway.

Outlook and guidance

  • Strategy centers on scaling the network in stages, with a goal to deploy thousands to hundreds of thousands of Arrive Points annually in the long term.

  • Near-term focus is on learning from limited deployments, refining products, and preparing for broader commercialization.

  • Revenue mix expected to evolve toward 50% network infrastructure and 50% transactional/data-driven services.

  • Management expects rapid adoption of autonomous delivery solutions in the future, focusing on disciplined execution and partnership expansion until market inflection.

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