Company engages platform architect to begin construction of AI-native, web3-enabled Operating System
MCFN-OS designed to deliver agentic AI, a shared institutional memory, and chat-first workflow automation across portfolio
First production module targeted for Q3 2026 release
BOULDER, Colo., June 04, 2026 (GLOBE NEWSWIRE) -- Auddia Inc. $(AUUD)$ ("Auddia" or the "Company"), an AI first technology company that has built a proprietary AI platform for audio identification and classification to reinvent how consumers engage with audio and how artists get discovered, today announced the first concrete development milestones for the McCarthy Finney Operating System (MCFN-OS), the AI-native, Web3-enabled operating platform that will power McCarthy Finney upon the closing of the proposed merger between Auddia Inc. and Thramann Holdings, LLC.
As the first step in building the system, Auddia has engaged Chase J. Thompson, founder of AI integration firm Arqa, as Platform Architect. Thompson has begun work on the platform, marking the transition of MCFN-OS from conceptual architecture to an active, in-progress build.
A Platform Moving From Concept to Reality
"What makes MCFN-OS different is that it moves software into the background of the work," said Chase J. Thompson, Platform Architect for McCarthy Finney. "Most business tools are systems of record, places to log work after it is already done. This one is the opposite: it is the layer the work actually happens in. The experience is deliberately simple. You direct the work in plain language, and the agents carry it out, from drafting a press release to coordinating a workflow across subsidiaries, with people reviewing and approving what matters. The agents take on the busy work, the drafting, the monitoring, the upkeep, so our team works as architects and strategists, setting direction and making the judgment calls. That's the opportunity here: an operating system where the complexity lives inside the platform, not on the desks of the people running the business. That simplicity is what lets the same system extend cleanly across every subsidiary, and well beyond them."
"The first module makes this real," Thompson continued. "It's not a prototype or a concept. It's a working agentic system with a unified substrate, a real audit trail, and real outputs that a public company can use. Everything it produces traces back to a source, every approval and edit is recorded, and nothing leaves the building without a person approving it. It is deliberately not autonomous, and for a public company that discipline is the point. As each module ships, the platform compounds with more agents, more workflows, more shared intelligence. That's how you run multiple companies with a small team and still go deep. It was built as a general operating layer, not a one-off, so each company we operate inherits it immediately."
First MCFN-OS Module Targeted for Q3 Delivery
The first production module is targeted for delivery in Q3 2026. Each module will be built on the same foundation of a shared institutional memory and a common agent runtime, with a knowledge graph and Web3 trust layer planned, enabling rapid reuse across functions and business units.
The MCFN-OS platform is designed to be scaled across all subsidiaries to support each with:
-- Agentic AI execution -- Cross-vertical intelligence -- Web3-verified identity and provenance -- Workflow automation -- Chat-first interfaces with no dashboards or software learning curve
A New Category: The AI-Native Operating Platform Company
"MCFN-OS will give every subsidiary access to agentic AI, a unified knowledge graph, and blockchain-anchored trust infrastructure from day one," said Jeff Thramann, CEO of Auddia and founder of McCarthy Finney. "Chase's engagement represents the first tangible milestone in building the operating system that will support McCarthy Finney's subsidiaries upon successful closing of the merger."
A Small, Surgical Team With Platform-Level Impact
Thompson will lead a lean Platform Group responsible for:
-- AI agent orchestration -- Knowledge graph engineering -- Web3 identity and provenance -- Workflow automation -- Application-layer interfaces
"MCFN-OS is being built the way modern AI systems should be built," said Thramann. "Small team, deep AI leverage, platform driven."
About the Merger to form McCarthy Finney
Auddia entered into a definitive merger agreement on February 17, 2026. The merger contemplates a business combination between Auddia Inc. and Thramann Holdings, LLC, a single member Colorado LLC. Thramann Holdings fully owns LT350, Influence Healthcare, and Voyex, three early-stage AI native operating companies. Upon merger completion, Auddia will change its name to McCarthy Finney and trade under the ticker MCFN. McCarthy Finney is an AI holding company that will deliver AI and Web3 services to its four portfolio companies: LT350, Influence Healthcare, Voyex, and Auddia.
-- LT350 is a distributed AI data center company with 13 issued, 1 allowed,
and 2 pending patents on a proprietary solar parking lot canopy
infrastructure platform that integrates modular battery storage and GPU
cartridges into the ceiling of the canopy to turn any parking lot into an
AI data center. The Company aims to build the most secure, lowest latency,
cost effective, and rapidly deployed network of distributed AI data
centers at the edge by leveraging the use of underutilized parking lot
space while strengthening the existing power infrastructure of local
utilities.
-- Influence Healthcare is a health-tech company leveraging AI, blockchain,
and vertical integration to empower surgeons to drive adoption of value
based care (VBC) to the surgical specialties. The Company's mission is to
leverage technology and value based enterprises (VBEs) to build an
alternative healthcare system that minimizes the corporate practice of
medicine, eliminates administrative waste, and enhances the autonomy and
pay of health care providers to empower them to improve quality and
return the patient physician relationship to the center of medicine.
-- Voyex is a travel services platform that leverages agentic AI, an
integrated fintech platform, and utilization of charter and private jet
aircraft to significantly improve the travel experience. The Company aims
is to alleviate the leading pain points for travelers of lengthy flight
delays and cancellations.
About Auddia Inc.
Auddia, through its proprietary AI platform for audio identification and classification, is reinventing not only how consumers engage with AM/FM radio, podcasts, and other audio content but also how artists and labels promote their music and gain access to mainstream radio audiences. Auddia's Discovr Radio is the first music-promotion platform to deliver artists guaranteed exposure to radio listeners. Auddia's flagship audio superapp, called faidr, delivers multiple industry firsts, including:
-- Ad-free listening on any AM/FM radio station -- Content skipping across any AM/FM station -- One-touch skipping of entire podcast ad breaks -- Integrated artist discovery experiences
For more information, visit www.auddia.com.
Cautionary Note on Forward-Looking Statements
Certain statements in this communication, other than purely historical information, may constitute "forward-looking statements" within the meaning of the federal securities laws, including for purposes of the "safe harbor" provisions under the Private Securities Litigation Reform Act of 1995, concerning Auddia, Thramann Holdings, and the proposed merger between Auddia and Thramann Holdings (the "Proposed Transaction") and other matters. These forward-looking statements include, but are not limited to, express or implied statements relating to Auddia's and Thramann Holdings' management expectations, hopes, beliefs, intentions or strategies regarding the future including, without limitation, statements regarding: the structure, timing and completion of the proposed merger by and between Auddia and Thramann Holdings, and the expected effects, perceived benefits or opportunities of the Proposed Transaction; the combined company's listing on Nasdaq after the closing of the Proposed Transaction; expectations regarding the structure, timing and completion of the financing needed to close the Proposed Transaction, including investment amounts from investors, timing of closing of the Proposed Transaction, expected proceed, expectations regarding the use of proceeds, and impact on ownership structure; the anticipated timing of the closing; the expected executive officers and directors of the combined company; each company's and the combined company's expected cash position at the closing and cash runway of the combined company following the proposed merger and any additional financing; the future operations of the combined company, including research and development activities; the nature, strategy and focus of the combined company; the development and commercial potential and potential benefits of any products and services of the combined company; the cash balance of the combined entity at closing; expectations related to the anticipated timing of the closing of the Proposed Transaction (the "Closing"); the expectations regarding the ownership structure of the combined company; the expected trading of the combined company's stock on Nasdaq under the ticker symbol "MCFN" after the Closing; and other statements that are not historical fact.
(MORE TO FOLLOW) Dow Jones Newswires
June 04, 2026 06:00 ET (10:00 GMT)
Comments