Kinetic Seas Inc. (OTC: KSEZ)

Kinetic Seas Inc. is an artificial intelligence company engaged in hosting, research and development, and consulting activities. The company shifted its focus to AI in December 2023 after a Board restructuring and began implementing its business plan shortly thereafter. It generated its first consulting revenue in the quarter ended March 31, 2024 and has since pursued an early-stage strategy centered on education and training to drive adoption of its other AI services. Kinetic Seas Inc. remains a pre-revenue-stage operator that is building capabilities across its 5 identified AI segments.

The company earns revenue from AI consulting labor, licensing agreements, GPU infrastructure rental, open source software offerings, software and platform as a service solutions, and education and training programs. Consulting revenue totaled $91,537 for the 3 months ended September 30, 2025, up from $64,966 in the comparable period of 2024, reflecting new engagements and the proportional share of a Skilliks license agreement valued at $2,000,000 over a 5-year term. In the 9 months ended September 30, 2025, consulting revenue reached $159,408, compared with $137,291 in the same period of 2024. GPU infrastructure is rented under the Kinetic Cloud brand, while the SaaS/PaaS offering provides hosted platforms for AI model deployment and management. Education and training fees are charged for workshops and courses that teach non-AI businesses how to integrate AI into existing operations.

The company operates through the following segments: technical consulting, GPU infrastructure and rental (Kinetic Cloud), open source software and libraries, software and platform as a service (SaaS/PaaS), and education and training.

• Technical consulting: This segment provides AI strategy, implementation, and optimization services to clients. Revenue is generated from consulting fees and from the proportional share of licensing arrangements such as the Skilliks agreement. The segment supports both AI startups lacking in-house expertise and established businesses seeking to embed AI into their workflows.

• GPU infrastructure and rental (Kinetic Cloud): This segment offers access to graphics processing units for AI training and inference workloads. Clients rent GPU capacity on a flexible basis to run compute-intensive AI models. The service complements the consulting and education segments by providing the computational backbone needed for AI projects.

• Open source software and libraries: This segment develops and releases AI-focused software components under open source licenses. The libraries cover areas such as model training, data preprocessing, and deployment utilities. By making these tools freely available, the segment aims to foster community adoption and create downstream demand for the company’s paid services.

• Software and platform as a service (SaaS/PaaS): This segment delivers hosted platforms that enable customers to build, deploy, and manage AI applications without managing underlying infrastructure. The offering includes APIs, user interfaces, and monitoring tools, typically provided on a subscription basis. It targets enterprises that prefer a turnkey solution for AI integration.

• Education and training: This segment focuses on teaching non-AI businesses how to incorporate AI technology to improve their existing operations. It delivers workshops, courses, and certification programs designed for managers and technical staff. The company views this segment as a natural lead-generator for its consulting, GPU rental, and SaaS/PaaS offerings.

Kinetic Seas Inc. operates as an early-stage player in the competitive AI services landscape, where it faces larger cloud providers such as Amazon Web Services, Google Cloud, and Microsoft Azure, as well as established AI consultancies and numerous specialized startups. Its competitive advantage lies in the integration of education and training with technical consulting and GPU resources, which creates a cohesive adoption pathway for clients. By bundling these services, the company seeks to differentiate itself from pure-play consultants or pure infrastructure vendors. The firm’s agility and focus on practical AI implementation for non-AI businesses further support its market position.

The company serves AI startups that lack the in-house expertise to develop and deploy AI models, as well as established non-AI businesses seeking to optimize their operations through AI adoption. It also targets enterprises that require consulting assistance, GPU infrastructure, or hosted platforms to support their AI initiatives. While specific customer names are not disclosed in the filing, the client base spans industries interested in practical AI implementation.