Auddia Inc. (NASDAQ: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."