Company: ARAI
Filing Date: 2025-06-17
Form Type: S-1
Source: 0001641172-25-015428
Chunk: 67

Company: Arrive AI Inc.
Filing Date: 2025-06-17
Form: S-1
Chunk 67
---
 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 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. More details on our hybrid approach to AI
and ML development and the timing of development and foundational data capture necessary for improvements beyond synthetic training are
presented in the Business section

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-custom