Company: ARAI
Filing Date: 2025-05-14
Form Type: DRS
Source: 0001641172-25-010170
Chunk: 78

Company: Arrive AI Inc.
Filing Date: 2025-05-14
Form: DRS
Chunk 78
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 as the industry standard, anticipating that proprietary point-solutions will transition towards our broader, full-featured, universal ALM network/platform because of cost, interoperability, and customer demand for universal vs. proprietary solution lock-in.

This business foundation, combined with our strategic product rollout and strong intellectual property portfolio, positions Arrive AI to lead the transformation of ALM infrastructure and the formation of an ALM platform for the emerging ALM ecosystem, in the era that will most certainly be transformed by last-mile autonomous logistics as projected by organizations like ARK Invest in their Annual Innovation Report in the Autonomous Logistics sections.

Arrive AI expects to have three primary revenue streams

| 1. | Mailbox-as-a-service                                                                              
 (MaaS) provides our ALM Access Points or ALM mailboxes to both businesses and consumers           
 through a single, monthly subscription fee. This turnkey service includes hardware, software,     
 support, maintenance, installation/uninstallation, and financing for long-term field assets.      
 Our flexible payment structure accommodates various business models in the evolving ALM Industry. 
 In Q4 of 2024 we installed AP3 units (third generation Arrive Points) for which we                
 will provide MaaS in 2025. Arrive AI has a confidential agreement and pricing in place to         
 provide these services for compensation, with an East-Coast Specialty Pharm company. The          
 terms and pricing are confidential and preliminary terms, intended for both parties to learn      
 from the pilot project how effective the terms are in providing sustainable benefits and          
 economics over the course of the first year of operations. Once Arrive AI and the customer        
 have operationalized and learned from these initial services, both parties plan to renegotiate    
 terms and pricing in 2026 to produce new terms that are sustainable and can be disclosed          
 to other customers and the public.                                                                |
| 2. | Data                                                                                              
 monetization via models and insights generated by machine learning and artificial intelligence    
 (“ML” and “AI”). Machine learning facilitates our systems’ ability to                             
 learn and improve from experience using data patterns, while artificial intelligence encompasses  
 broader capabilities and models to simulate human intelligence and decision-making. We plan       
 to use both technologies distinctly:                                                              |

| a. | Machine                                                                                             
 Learning: Primarily deployed in our AP4 and AP5 Access Points devices for local IoT (Internet       
 of Things) data processing, edge computing (inferencing) for environment and transactional          
 models, and interactions models for drones and robots.                                              |
| b. | Artificial