Operational challenges associated with the use of AI technologies could disrupt our business and increase costs
We have implemented AI technologies into our operations, including our AI-powered Tendering Bot, and may continue to expand their use in the future. These
technologies support automation and efficiency in targeted areas of our business, such as freight tendering, where they extract and process shipment data. While AI
plays an important and growing role within our technology suite, its integration also presents multiple risks.
Because our AI tools interact with key components of our logistics infrastructure, any technical malfunction, data inaccuracy, or integration issue could delay load
postings, result in miscommunication of shipment details, or disrupt automated workflows. These disruptions may adversely impact carrier responsiveness, reduce
customer satisfaction, or create inefficiencies that require manual intervention. Persistent or widespread issues with AI performance could lead to operational
disruptions, increased costs, or reputational harm. Resolving such problems may divert engineering, IT, or customer support resources from other business priorities.
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The development and integration of AI technologies present risks related to data integrity, accountability, and market adoption.
AI technologies also present risks related to the accuracy and integrity of the data they rely on. Algorithms may process biased or incomplete information, leading to
flawed or discriminatory outputs. In some cases, AI models incorporate third-party tools or datasets with uncertain intellectual property ownership, which introduces
legal risk. As AI-generated decisions become more integrated into our systems or partner platforms, we may be held accountable for unintended outcomes such as
profiling or bias. Inadequate disclosures regarding how our AI systems function may expose us to litigation, regulatory inquiry, or reputational damage. Additionally, the
rapid pace of AI innovation may necessitate ongoing investment in oversight, monitoring, and data management to mitigate risks and maintain performance.
In addition, market demand for AI-driven solutions may fluctuate based on shifting customer expectations, evolving industry standards, and competitive offerings. Our
ability to successfully scale or integrate these technologies could be limited if we are unable to keep pace with such developments. A failure to adapt quickly or to meet
customer requirements may result in unrealized benefits from our AI investments and could negatively affect our business, financial condition, and results of operations.
Our dependence on a third-party provider for the development and integration of AI technologies exposes us to operational and contractual risks.
We rely on Trebu as a service provider for the development, operation, and ongoing support of our AI-powered Tendering Bot under the terms of a service agreement
dated November 16, 2024. Trebu provides core automation capabilities that support our ability to identify and process customer shipment requests through AI. Our
collaboration depends on continued technical integration, including secure access to Fr8App APIs and accurate synchronization of shipment and facility data between
our systems. For more information, see Item 1. “Business – Research and Development. ”
If Trebu fails to fulfill its obligations, such as maintaining AI functionality, ensuring system reliability, or meeting integration requirements, we may experience service
disruptions, delays in shipment processing, or degradation in platform performance. Although the agreement includes provisions for support and termination, we may
not be able to quickly replace Trebu or replicate its system functionality with an alternative provider without incurring additional costs or delays.
Moreover, as outlined in the agreement, we are obligated to provide Trebu with system access and timely compensation for their services, and either party may
terminate the contract with prior notice or in the event of an unremedied material breach. These conditions create potential exposure to contractual disputes,
operational downtime, and transitional risk if the agreement is terminated or not renewed. In addition, because Trebu processes commercial data for the Fr8App
marketplace through its AI system, any failure to safeguard proprietary or sensitive information could result in reputational harm, regulatory scrutiny, or legal liability. As
our reliance on this third-party technology continues, we may face heightened risks associated with performance, compliance, and business continuity.
Our use of AI technology increases exposure to data privacy and cybersecurity risks.
Our AI systems process and transmit sensitive commercial data, including shipment details, customer communications, and carrier information. Any unauthorized
access to or improper use of this data could expose us to regulatory penalties, litigation, or reputational damage. The integration of AI tools with Fr8App and Fleet
Rocket involves data flows across systems and parties, increasing the surface area for potential cyber threats or breaches. The complexity and interconnectivity of
these systems may create vulnerabilities that are difficult to detect and mitigate in real time.
As our AI capabilities evolve and become more interconnected with customer-facing platforms, we face heightened exposure to cybersecurity threats, including
phishing, ransomware, data corruption, or insider threats. A significant security breach, particularly one involving the compromise of customer data processed through
AI tools, could result in service disruption, financial losses, and reputational harm. We also face potential liability if data used or generated by our AI systems is
inadvertently exposed or misused.
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Moreover, as we scale our AI capabilities, we must ensure that robust safeguards are in place to protect against data leakage, unintended exposure, or misuse. This
includes continuous monitoring, encryption, secure API management, and employee training. Ensuring compliance with evolving data privacy regulations across
jurisdictions, including in the U.S. and Mexico, will require ongoing investment in security infrastructure, oversight mechanisms, and legal compliance efforts. Failure to
meet these obligations could adversely impact our operations, customer trust, and financial condition.
The use of AI technologies exposes us to evolving regulatory and compliance risks that could increase operational burdens and legal liability.
As we continue to incorporate AI technologies, including our AI-powered Tendering Bot, into our operations, we are subject to an increasingly complex and evolving
global regulatory environment. Governments around the world, including in the United States, Mexico, and the European Union, are actively developing legal
frameworks to govern the use of AI, particularly in areas related to data processing, automated decision-making, and transparency. For example, the European Union
has enacted the Artificial Intelligence Act, which introduces specific compliance obligations that may influence regulatory trends globally.
Although current regulations specific to AI remain limited in many jurisdictions, future legislation may impose requirements on how we design, deploy, and manage AI
systems—such as mandates for explainability, risk classification, human oversight, and data governance. We may also be required to disclose how our AI algorithms
process data or make decisions, particularly in cross-border transactions involving customer and carrier information. Non-compliance with these emerging rules could
subject us to enforcement actions, fines, litigation, or reputational harm.
Further, the use of AI may raise concerns related to ethical standards, bias, and accountability. If our AI systems are perceived to make flawed or discriminatory
decisions, or if we fail to adequately disclose their capabilities and limitations, we may be exposed to regulatory inquiries or loss of customer trust. Addressing these
risks will require continued investment in compliance infrastructure, cross-functional training, and potential modification of AI-based workflows, all of which may increase
our costs and affect our operational flexibility.
Trade tensions or adverse regulatory or political changes in any country in which Fr8Tech operates could materially and adversely affect the demand for its
services, its operations and financial conditions.
Fr8Tech has business operations in the U.S., Mexico and Canada. These three countries currently have a free trade agreement which directly impacts the amount of
international trade across the US-Mexico and the US-Canada borders. The first such trade agreement, the North America Free Trade Agreement (“NAFTA”), went into
effect in 1994 and was followed by tremendous increase in trade amongst all three countries. The United States-Mexico-Canada Agreement (“USMCA”), substituted