Company: ARAI
Filing Date: 2025-05-14
Form Type: DRS
Source: 0001641172-25-010170
Chunk: 79

Company: Arrive AI Inc.
Filing Date: 2025-05-14
Form: DRS
Chunk 79
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 Intelligence: Used more broadly to analyze and derive insights from our network’s transactional     
 and environmental data through complex AI models, but we will also leverage foundational            
 AI models like ChatGPT or LAMA for device based human interactions.                                 |
| c. | After                                                                                               
 12-18 months of delivering MaaS, Arrive AI should have collected sufficient data to begin           
 to better leverage a growing dataset with AI and ML models for enhanced services and insights       
 for customers and partners. – Note that to meet our data accumulation goals and                     
 maximize the effectiveness of our proprietary ALM models, a minimum of 5,000 deployed and           
 actively utilized ALM Access Points will be necessary to generate sufficient data over 12-18        
 months of operations. If fewer units are deployed or the average utilization rate per unit          
 falls below 50%, the rate of data accumulation will slow, delaying both the expected timeframe      
 for likely AI improvements and the monetization of the resulting insights. These metrics—deployment 
 scale and utilization rate—are critical to achieving the desired scale for AI/ML optimization       
 and network-wide operational improvements.                                                          |

| 3. | Operational                                                                                           
 platform fees. Our network of ALM Access Points, the supporting software and AI plus                  
 ML, collectively create an ALM platform that is intended to provide valuable services and             
 insights to all stakeholders in the ALM ecosystem. For example, our automated delivery marketplace    
 (“ADM”) will use a Google-AdSense-like market to help prioritize and optimize                         
 high-demand access schedules and space availability for our access point network. The platform        
 will provide a broad array of critical functions for the ALM ecosystem including arrival/departure    
 scheduling, space optimization, smart delivery notifications, micro weather conditions, local         
 restrictions, transactional status updates, and automation issues/obstacles. These capabilities       
 enable ALM automation operators, businesses, and end-customers all to make better value-              
 and data-based operational decisions, such as for a specific Access Point prioritizing time-sensitive 
 food deliveries during peak demand versus optimizing route efficiency for a deferrable delivery       
 at a given time like during the Super Bowl. Another example of ALM platform functionality             
 is our planned mailbox financing exchange (MFE) facilitates dynamic cost-sharing arrangements         
 between financiers, business partners, automation operators, and end-customers. These advanced        
 capabilities will be introduced through our AP5 development and pilot program and will be             
 demonstrated in 2025 at the earliest. At this time we have not