Arrive AI (ARAI) investor relations material

Executive summary

• Achieved first commercial revenue of $90,725 in Q2 2025, marking a transition from R&D to operational deployments and commercial execution, with a focus on autonomous last-mile logistics using patented AI-powered ArrivePoints.

• Completed a direct listing on Nasdaq in May 2025, triggering one-time success bonuses and increased professional fees, and expanded the investor base via crowdfunding.

• Entered new partnerships and pilots with Hancock Health, Go2 Delivery, AllMart, ACT Antigua, and Skye Air Mobility, validating technology across healthcare, retail, logistics, and municipal sectors.

• Issued new patents, bringing the total to eight, covering climate optimization, adaptive access, and drone landing coordination, and expanded the equity incentive plan.

• Strategic partnerships, robust patent portfolio, and recent NASDAQ debut position the company for long-term growth and market leadership.

Financial highlights

• Q2 2025 revenue: $90,725, the first in company history, primarily from consulting, installation, and subscription services.

• Net loss for Q2 2025 was $4.69M, up from $1.46M year-over-year, driven by $3M in one-time public listing expenses; adjusted net loss would have been $1.35M.

• Operating expenses totaled $6.18M, up from $1.60M year-over-year, mainly due to public listing costs and higher stock-based compensation.

• Ended quarter with $607,000 in cash, up from $129,318 at year-end, and nearly full access to a $40M structured capital facility.

• Weighted-average shares outstanding increased to 31,543,921 for Q2 2025.

Outlook and guidance

• Five-year plan targets scaling to 10,000 units annually by year four and 100,000 by year five, aiming for a tenfold increase in enterprise value.

• Q3 plans include tripling team size with 40+ hires in AI, engineering, and operations, and expanding the Arrive Point network.

• Capital facility expected to support operations into 2027, with additional funding anticipated as manufacturing scales.

• Focus on developing advanced AI/ML capabilities and data monetization to drive recurring revenue.

• Management confident in financial flexibility and runway, citing disciplined investment strategy.