Company: ARAI
Filing Date: 2025-07-15
Form Type: S-1/A
Source: 0001641172-25-019572
Chunk: 48

Company: Arrive AI Inc.
Filing Date: 2025-07-15
Form: S-1/A
Chunk 48
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 any such actual or perceived breach. Any contractual protections we may have from our
service providers may not be sufficient to adequately protect us from any such liabilities and losses, and we may be unable to enforce
any such contractual protections. In addition to government regulation, privacy advocates and industry groups have and may in the future
propose self-regulatory standards from time to time. These and other industry standards may legally or contractually apply to us, or
we may elect to comply with such standards.

Data collection includes risks associated with
collecting, storing, and processing large datasets, which introduces risks of breaches, data misuse, and compliance challenges with privacy
regulations. We must be compliant with data collection, use practices and other data privacy laws and regulations. Failure to comply
with these practices may result in claims for misuse or inappropriate disclosure of data, as well as unfair or deceptive practices. The
development and maintenance of these systems, controls and processes is costly and requires ongoing monitoring and updating as technologies
change and efforts to overcome security measures become increasingly sophisticated. Moreover, despite our efforts, the possibility of
these events occurring cannot be eliminated entirely.

Algorithm Performance Risks: Errors or biases
in ML and AI models could harm customer experiences, operational efficiency, and reputation. The loss or disclosure of both the data
and the algorithm could be detrimental to the future development and competitive advantage of our services. Any errors with respect to
how we may measure the performance of certain operational and business metrics though machine learning algorithm may affect our understanding
of certain details of our business, which could affect our longer-term strategies. If our operational and business metrics are not accurate
representations of our business, market penetration, retention or engagement; if we discover material inaccuracies in our metrics; or
if the metrics we rely on to track our performance do not provide an accurate measurement of our business, our reputation may be harmed,
and our operating and financial results could be adversely affected. Search engines frequently modify their search algorithms, and these
changes can cause our future services to receive less favorable placements, which could reduce the number of our potential customers.
The costs associated with advertising through search engines can also vary significantly from period to period and have generally increased
over time. We may be unable to modify our strategies in response to any future search algorithm changes made by the search engines, which
could require a change in the strategy we use to generate customer attraction for our future services. We plan to use machine learning
and artificial intelligence by employing algorithms as they relate