Company: ARAI
Filing Date: 2025-05-14
Form Type: DRS
Source: 0001641172-25-010170
Chunk: 82

Company: Arrive AI Inc.
Filing Date: 2025-05-14
Form: DRS
Chunk 82
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 occur in the future. Like Arrive AI, these companies are working to systematically build the operations and business cases necessary to deliver the ALM customer experience and capture the projected cost savings of up to 5X for robots and 20X for drones, as highlighted in ARK Invest’s Annual Innovation Report, Autonomous Logistics section. Our current strategy is to focus on automation pilots in critical and high-margin medical logistics (our current pilots) before expanding into larger, lower-margin autonomous automation markets with similar strategic partners. We believe this approach will maximize ROI and accelerate our speed to market.

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Begin with a Beachhead

The order of growth for Arrive AI’s go-to-market and ROI starts with a beachhead in medical operations and large assisted living communities. With other automation providers like MatterNet and Aethon succeeding in establishing customers in hospitals, and with Arrive AI having three prospective Mid-west hospital chains, and one large assisted living community as active prospects, we continue to believe these areas remain one of our primary paths to market. We currently have no signed agreements with these prospects.

Establishing a beachhead is a proven strategy, first described in Geoffrey Moore’s Crossing the Chasm, to approach early markets by focusing on niche markets that can be well-served before expanding to adjacent ones. Arrive AI has begun its go-to-market strategy by targeting the ALM needs of two synergistic markets: medical operations and large assisted living communities. While no agreements have been executed yet, we are currently engaged in multiple active discussions regarding technology development partnerships with organizations in these sectors. These discussions cover terms related to joint development timelines, pilot program goals, and technology integration milestones. Although we anticipate finalizing at least two of these partnerships in 2025, there is no guarantee that any agreements will be successfully executed. The number of partnerships and their outcomes will depend on ongoing negotiations and mutual alignment on operational and business goals.

Medical Operations

Arrive AI defines medical operations as hospitals, medical campuses, and laboratories with associated networks of doctors and clinics. We continue to market and interact with hospitals, medical campuses, and laboratories to prove the value and ROI of better patient outcomes and operational efficiencies by employing Arrive AI’s ALM Access Points across a portfolio of valuable use cases:

| (a) | Weekend,                                                                                            
 off-hour, and holiday lab sample deliveries and pickups when staffing is much lower. This           
 begins with immediate improvements in the time-sensitive receiving, notification, and routing       
 of courier lab sample deliveries, which will be improved with automated drone delivery