Focus Universal Launches Cost-Effective Commercial IoT Solutions for Multiple Industries

December 26th, 2025 7:13 PM
By: Newsworthy Staff

Focus Universal Inc. has developed four commercial IoT solutions in just one month using its Universal Smart IoT Platform, addressing the industry's high failure rates and development costs while preparing to showcase these innovations alongside AI-driven SEC financial reporting software at CES 2026.

Focus Universal Launches Cost-Effective Commercial IoT Solutions for Multiple Industries

Focus Universal Inc. (NASDAQ: FCUV) announced the availability of four commercial IoT solutions for aquaculture, tequila and wine production, reverse osmosis, and hydroponics sectors. The company developed these solutions within one month using its Universal Smart IoT Platform, which it claims can save companies millions of dollars in development costs and several years of engineering time compared to traditional IoT development approaches.

Industry statistics highlight the challenges facing IoT adoption. According to Cisco, approximately 75% of IoT projects fail, while Microsoft reports that 30% of projects fail at the early proof-of-concept stage. Traditional IoT development often requires multiple years of research and development with multimillion-dollar investments for single solutions. Focus Universal's platform addresses these challenges by providing a pre-built common foundation where different IoT devices can share roughly 90% of the same hardware and software.

The company's solutions include Commercial Aquaculture IoT to improve fish farm production efficiency, Commercial Tequila and Wine Production IoT for real-time fermentation monitoring, Commercial Reverse Osmosis IoT for centralized monitoring in steel manufacturing, and Commercial Hydroponic IoT for automated agricultural control. These developments come as the global Internet of Things market, valued at USD 1.18 trillion in 2023, is projected to reach US $2.65 trillion by 2030 according to industry projections.

Complementing the Universal Smart IoT Platform is the Ubiquitor, a universal multi-sensor smart device designed to replace single-function traditional devices. The Ubiquitor can connect to virtually any type of sensor, and as additional sensors are integrated, the average cost per sensor becomes negligible. When deployed with the Universal Smart IoT Platform, total product development costs are reduced to a fraction of conventional approaches.

Focus Universal will showcase its technologies at CES 2026 in Las Vegas from January 6-9, 2026. The demonstration will include a complete IoT system integrating hundreds or thousands of industrial sensors across multiple locations, with capabilities for simple sensor management, efficient hardware utilization, reliable backup solutions, and sensor-dependent applications. The company will also demonstrate AI-driven SEC financial reporting software that automates the traditionally complex financial reporting process, potentially reducing work that once took months to minutes.

The company's approach addresses scalability challenges as the number of IoT devices worldwide is expected to grow from 19.8 billion in 2025 to more than 40.6 billion by 2034 according to Statista. By leveraging a single Universal Smart IoT common platform instead of starting from scratch for each device, development costs become negligible when spread across the global IoT device base. This economic model contrasts with competitors who must continue spending heavily on custom development, contributing to the industry's high failure rates.

Focus Universal's technology portfolio extends beyond IoT to include SEC financial reporting automation. The Financial Reporting Software Market was valued at US $13.9 billion in 2022 and is projected to grow to US $36.6 billion by 2030. The company's software automates data retrieval from accounting platforms, reformats data into spreadsheets, generates consolidated financials, populates SEC filings, converts documents to SEC-compliant versions via EDGARization, and embeds accurate tags into HTML files with limited manual input.

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