Focus Universal Inc. (NASDAQ: FCUV), a provider of patented hardware and software design technologies for the Internet of Things (IoT), 5G, and SEC Financial Reporting AI-Driven Automation Software, announced that it will showcase its multi-industry Deterministic AI technology at the H.C. Wainwright 28th Annual Global Investment Conference. The conference will be held at the Lotte New York Palace Hotel in New York City from September 14-16, 2026. The company's presentation will be available on demand within the Technology, Media & Telecommunications, Growth Track.
Focus believes its SEC Financial Reporting software is not only potentially 10,000 times faster than traditional manual methods but also achieves accuracy beyond human professional-level standards. With a single click, months of complex SEC financial reporting work can be completed within minutes. The company is excited to demonstrate these groundbreaking technologies, delivering on its commitment to shareholders and the global technology community.
The company cordially invites prospective customers, investors, and shareholders to experience the power, efficiency, and potential of its technology at the Wainwright Annual Global Investment Conference and to schedule meetings during the period. One-on-one meetings can be arranged through H.C. Wainwright. For more information, visit the conference website at https://hcwevents.com/annualconference/.
SEC filings must be prepared in XBRL (eXtensible Business Reporting Language), a standardized machine-readable format that enables investors, regulators, and analysts to automatically extract, analyze, and compare financial information. Because XBRL requires specialized technical expertise, most CPAs, CFOs, auditors, and securities attorneys do not perform this work themselves, leading to reliance on specialized EDGAR filing agents. The current process is often expensive, labor-intensive, and time-consuming, requiring issuers to deliver draft reports to filing agents several days in advance.
Deterministic AI is designed to process SEC filings using only the Word document as input. Leveraging domain knowledge from large volumes of filings, the system identifies financial reporting concepts, determines appropriate XBRL taxonomy elements, performs EDGARization formatting, and generates structured, compliance-ready outputs. As more filings are processed, the system refines its ability to align disclosures with standard GAAP taxonomy elements, reducing reliance on custom tags while maintaining deterministic output behavior.
One significant advantage of Deterministic AI is its ability to perform complex tasks with minimal user input. Unlike traditional automation systems that require structured data, predefined workflows, or mapping instructions, and unlike generative AI that requires detailed prompts and multiple interactions, Deterministic AI processes raw documents using embedded domain knowledge and deterministic business logic.
The Deterministic AI Forms Auto-Populate Engine enables organizations to upload raw business documents from multiple sources and automatically identify, extract, validate, correlate, and populate information across downstream business forms. This includes processing purchase orders, bills of lading, invoices, contracts, and other documents to generate completed forms such as commercial invoices, packing lists, customs declarations, and financial reports.
Dr. Desheng Wang, CEO of Focus Universal, stated, "Deterministic AI is an execution AI designed to automate business processes with certainty and consistency. Organizations that adopt Deterministic AI can improve operational efficiency by several orders of magnitude compared with traditional manual workflows. The productivity gains are so significant, the subscription fee is negligible relative to the value it delivers." He added, "The completion of the Deterministic AI Engine marks only the beginning. We expect rapid expansion into accounting, tax preparation, medical billing, freight forwarding, insurance, and other industries where deterministic, rule-based automation can dramatically improve productivity."
