LT350 Emerges as a Nationally Recognized Solution to Datacenter Resistance

Multi-Billion-Dollar GPU Access Market Creates Major Opportunity for Auddia

Strategic Partnership Discussions Advance Across Fiber, Real Estate, and Critical Infrastructure

BOULDER, Colo., Oct. 08, 2026 (GLOBE NEWSWIRE) -- Auddia Inc. $(AUUD)$ ("Auddia" or the "Company"), an AI-first technology company pursuing a merger that, if completed, would form McCarthy Finney, an AI-native operating company, today announced that it has posted a comprehensive CEO Letter to Shareholders on its investor relations website. The letter provides an in-depth update on the Company's progress toward the proposed merger with Thramann Holdings, highlights significant operational achievements across subsidiaries, and outlines the rapidly expanding opportunity surrounding LT350, a distributed AI-datacenter platform that would become a subsidiary of McCarthy Finney upon merger closing.

LT350: A Category-Defining AI Infrastructure Platform

In the posted letter, CEO Jeffrey J. Thramann details the emergence of LT350 as one of the most compelling solutions to the growing community resistance facing traditional datacenter development. LT350 deploys distributed, AI ready datacenters as solar canopies in the airspace above existing parking lots, integrating GPU compute, battery storage, liquid cooling, microgrid controls, fiber connectivity, and cloud orchestration.

This architecture directly addresses the land use, water consumption, noise, and permitting challenges slowing hyperscale datacenter expansion. LT350 has recently gained national media coverage, including appearances on Fox Business, Bloomberg, Cheddar, and multiple print outlets, and is in active discussions with fiber providers, REITs, convenience store chains, QSRs, logistics operators, and critical infrastructure organizations.

Strategic Partnerships and National Footprint Development

The letter highlights LT350's strategy of forming a national consortium of real estate and fiber optic partners to present what is expected to be the largest footprint of potential distributed AI datacenter sites in the United States. This model is designed to support rapid deployment, premium pricing, and proximity driven inference capacity for hyperscalers, neoclouds, foundation model developers, and enterprise AI buyers.

LT350 also continues to advance its first pilot canopy at a hospital in the Dallas MSA.

AI Infrastructure Market: Multi-Billion-Dollar GPU Access Contracts

The CEO Letter outlines several major GPU access contracts disclosed across the industry, including:

   -- Akamai's $11.6B to $20B multi-year agreement with Anthropic 
 
   -- Nscale's $3.5B contract with Figure AI for 100,000 GPUs 
 
   -- Nebius's pricing guidance for GPU compute contracts of $12M/MW in early 
      2026, $20M/MW in mid-year, and -> $30M+ per MW being discussed in future 
      contracts 
 
   -- Applied Digital's $5.2B multi-year hosting agreement 

These transactions demonstrate the scale of long duration commitments GPU access customers are making to secure future compute capacity. The Company believes LT350 is optimally positioned to compete for premium, proximity driven inference contracts due to its distributed architecture, patented canopy design, and capital efficient cost structure.

LT350's Cost Advantage and Deployment Speed

The letter also highlights recent CRE industry data showing AI ready datacenter construction costs ranging from $15--$35 million per MW, with some markets exceeding $40 million per MW. LT350's patented canopy architecture is expected to deliver comparable AI ready infrastructure at approximately $3 million per MW, with significantly shorter deployment timelines and reduced onsite labor due to prefabricated cartridges.

Next Steps

Auddia expects to provide additional updates on LT350's strategic progress, announce new partnerships as agreements are executed, and continue working toward completion of the proposed merger. The Company remains focused on positioning the combined entity for long term value creation.

The full CEO Letter to Shareholders is available now on Auddia's investor relations website.

About the Merger to form McCarthy Finney (MCFN)

Auddia entered into a definitive merger agreement with Thramann Holdings, LLC on February 17, 2026. If completed, the transaction would combine Auddia with three early-stage, AI-native operating companies wholly owned by Thramann Holdings: LT350, Influence Healthcare, and Voyex. The combined company would be renamed McCarthy Finney Inc. and is expected to trade under the ticker MCFN, subject to applicable approvals and listing requirements. McCarthy Finney would operate as an AI holding company supporting LT350, Influence Healthcare, Voyex, and Auddia with AI and Web3 capabilities.

   -- LT350 is a distributed AI datacenter company with 14 issued patents and 3 
      pending patent applications covering its proprietary solar parking lot 
      canopy infrastructure platform. The platform integrates modular battery 
      storage and GPU cartridges into the canopy ceiling to convert the 
      airspace of underutilized parking areas into distributed AI datacenters. 
      LT350 aims to build a secure, low latency, cost effective, and rapidly 
      deployable edge network while supporting local power infrastructure 
      resilience. 
 
   -- Influence Healthcare is a healthtech 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 
      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.