Company: ARAI
Filing Date: 2025-05-14
Form Type: DRS
Source: 0001641172-25-010170
Chunk: 75

Company: Arrive AI Inc.
Filing Date: 2025-05-14
Form: DRS
Chunk 75
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 and they establish initial pricing. All terms are subject         
 to change as both parties gain insight into the actual economics, benefits, and sustainability    
 of this initial engagement.                                                                       |
| ○ | AP5:                                                                                              
 development anticipated to start in 2025 and will introduce our “universal”                       
 solution supporting all drone and robotic delivery operations that require additional ML          
 and AI-based models and processing capabilities to accomplish. We have no customers engaged       
 or asking for these “universal” capabilities at this time but our management                      
 team believes they will be industry-leading and highly desirable in the future.                   |
| ○ | All                                                                                               
 development schedules are naturally subject to change and all Access Point, software, and         
 AI/ML development carries technology development risk and unpredictability that may result        
 in delays or even failure to achieve results and goals.                                           |

AI and ML Plans and Capabilities

Arrive AI aspires to establish product-market fit with AP5 and, at that point, anticipates being able to meet the needs of a large group of customers, consistent with projections such as those described in ARK Invest’s Annual Innovation Reportin the Autonomous Logistics section. Achieving this milestone depends on Arrive AI developing a product that is easy to use, competitively priced, and supported by strong marketing and sales strategies. Only after establishing product-market fit will Arrive AI pursue the next steps of scaling its business, data collection, and services, with a goal of achieving sustainable revenue and growth by 2027. There is no guarantee that Arrive AI will successfully achieve these objectives or that market adoption will occur as planned.

Arrive AI aspires to scale its operations in a way that produces unique datasets that could potentially serve as the foundation for future monetization through Machine Learning (ML) and Artificial Intelligence (AI). This goal is aspirational and dependent on achieving operational scale and adoption, which are not guaranteed. The platform envisions employing several ML applications, including classification, prediction, interpretation, and generation, to create value, enhance delivery performance, and increase revenue potential. These outcomes rely on sufficient deployment and utilization of ALM Access Points to collect the data necessary to train and refine these models.

Hybrid Development Approach and Proprietary Software

Arrive AI employs a hybrid development approach to create AI and ML capabilities. This approach leverages foundational third-party models from NVIDIA, Google, Azure, OpenAI, and AWS, along with open-source software like LAMA. At this time, none of Arrive AI’s software is proprietary, though the