Algorhythm Holdings Defines the “SemiCab Vision” — A Smarter, Connected Freight Network Built for the AI Era
CEO Gary Atkinson Highlights the Need to Bring Intelligent Coordination to Freight at Scale
Fort Lauderdale, FL, Feb. 17, 2026 (GLOBE NEWSWIRE) -- Algorhythm Holdings, Inc. (“Algorhythm”) (NASDAQ: RIME) – a leading AI technology company, today articulated its long-term vision for transforming the freight trucking industry.
A Massively Fragmented Industry
The global freight industry is enormous in scale. According to the U.S. Department of Transportation, approximately 3 million tractor-trailers operate on U.S. highways, with many millions more moving goods across international supply chains. Together, they transport trillions of dollars’ worth of products that power the global economy.
Yet despite its size and importance, freight management remains highly fragmented. Much of the industry still relies on disconnected transportation systems, manual workflows, and siloed planning tools that were not designed for network-level coordination.
The consequence is striking: 30-35% of freight miles are driven empty.
Empty miles mean fuel burned without revenue, drivers paid without productive loads, and equipment depreciating without generating income. These inefficiencies drive up operating costs for carriers and logistics providers — costs that ultimately flow through the supply chain and show up in higher prices for consumers at retail.
The SemiCab Vision & Mission
SemiCab is built on a simple belief: freight runs better when planning, execution, and learning are connected across participants. This vision reflects SemiCab’s belief that freight transportation should function as a connected, continuously learning network — not as a series of isolated groups of transactions.
By coordinating decisions in real time and applying intelligence at network scale, SemiCab is designed to help enable:
- Higher asset utilization;
- Fewer empty miles;
- More consistent service;
- Lower cost per move;
- Growth without matching increases in overhead.
“Truckload freight is a $3 trillion global market and the backbone of modern commerce,” said Gary Atkinson, Chief Executive Officer of Algorhythm Holdings, Inc. “Yet the industry still operates largely without coordinated intelligence at network scale. When you apply AI across a system of that magnitude, the impact isn’t small, it’s monumental. Our goal is to work alongside the industry to make that coordination practical and repeatable every day.”
The SemiCab Effect
As outlined in its recently released , SemiCab has demonstrated measurable, structural performance gains across its customer network, including:
- A 70% reduction in empty freight miles driven;
- An increased throughput of 300-400% generated with no increased headcount;
- Improved freight service reliability and stability; and
- Reduced fuel usage and associated emissions.
“We are not competing against freight companies, brokers, or shippers,” said Atkinson. “They are not the problem — they are essential participants in an industry operating on legacy coordination models. They are our customers and our partners. Our objective is to work collaboratively with them to unlock structural efficiencies through intelligent network coordination, as we have done with customers such as Kellanova (dba Kellogg’s) India, Procter & Gamble (P&G) India, Asian Paints, Apollo Tyres, and Bajaj Electricals.”
“We believe this momentum positions us for continued enterprise customer growth, larger contract opportunities, and geographic expansion as we move into 2026.”
Access to the full whitepaper is available .
About Algorhythm Holdings
Algorhythm Holdings, Inc. is a leading AI technology company focused on the growth and development of SemiCab, an emerging leader in the global logistics and distribution industry. Since 2020, SemiCab has enabled major retailers, brands and transportation providers to address common supply-chain problems globally. Its proprietary, AI-enabled, cloud-based Collaborative Transportation Platform achieves the scalability required to predict and optimize millions of loads and hundreds of thousands of trucks. SemiCab uses real-time data from API-based load tendering and pre-built integrations with TMS and ELD partners to orchestrate collaboration across manufacturers, retailers, distributors, and their carriers. SemiCab uses AI/ML predictions and advanced predictive optimization models to enable fully loaded round trips. With SemiCab’s AI platform, shippers pay less and carriers make more without having to change a thing. For additional information, please go to:
Investor Relations Contact
Brendan Hopkins
407-645-5295
Forward Looking Statements
This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Any statement that is not historical in nature is a forward-looking statement and may be identified by the use of words and phrases such as "expects," "anticipates," "believes," "will," "will likely result," "will continue," "plans to," "potential," "promising," and similar expressions. These statements are based on management's current expectations and beliefs and are subject to a number of risks, uncertainties and assumptions that could cause actual results to differ materially from those described in the forward-looking statements, including the risk factors described from time to time in Algorhythm’s reports to the SEC, including, without limitation Algorhythm’s Annual Report on Form 10-K for the year ended December 31, 2024. You should not place undue reliance on any forward-looking statement, each of which applies only as of the date of this press release. Except as required by law, we undertake no obligation to update or revise publicly any of the forward-looking statements after the date of this press release to conform our statements to actual results or changed expectations, or as a result of new information, future events or otherwise.
