Focus Universal Continues to Introduce Further Facets of Proprietary Deterministic AI Platform: A New Class of Artificial Intelligence

About this update from Focus Universal Inc.

MONTEREY PARK, CA - June 26, 2026 (NEWMEDIAWIRE) - Focus Universal Inc. (Nasdaq: FCUV) today formally continued to introduce further facets of proprietary Deterministic AI platform: a new class of artificial intelligence as a distinct category of enterprise artificial intelligence systems designed for execution of complex, compliance-driven business workflows with consistent, verifiable, and repeatable outcomes. Artificial Intelligence can be broadly divided into two categories: non-deterministic AI, which includes generative AI based on large language models, and deterministic AI, which is designed to execute known workflows with precision, consistency, and predictability. Businesses frequently encounter problems where the optimal solution is not immediately known. Generative AI excels in these situations by helping users explore alternatives, generate ideas, and identify potential solutions. Once the optimal solution or workflow has been determined, the challenge shifts from discovery to execution: how to automate the process, minimize human involvement, eliminate repetitive work, and maximize productivity. This is where Deterministic AI creates value. Organizations do not need to discover the best solution every day, but they do need to execute their workflows every day. As a result, Deterministic AI has the potential to become a daily operational tool that continuously improves efficiency, consistency, and productivity across an organization. Unlike generative AI, which relies on massive training datasets, substantial computational resources, and significant infrastructure investments, Deterministic AI is fundamentally rule-driven. It learns and applies a defined set of business rules, procedures, and relationships that only need to be established once. Because it does not depend on training enormous models, Deterministic AI generally requires significantly less computing power and infrastructure. In a Deterministic AI system, human actions are replaced by continuous electronic actions. Tasks that previously required manual effort can be performed automatically, repeatedly, and consistently. Depending on the application, efficiency gains may be measured in multiples of hundreds or even thousands of times compared to traditional manual processes. The capital required to deploy such systems can be relatively modest, while the potential return on investm...

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