Auddia Inc. (NASDAQ: AUUD) announced that the successful completion of a $12 million financing positions the company to accelerate the closing of its transformational merger with Thramann Holdings, LLC. The merger is set to form McCarthy Finney (NASDAQ: MCFN), an AI-native holding company with an internal discounted cash flow (DCF) valuation of $250 million. The financing serves as a key catalyst to complete remaining merger steps, including filing the S-4 registration statement and scheduling the shareholder vote.
Central to the merger is LT350, a distributed AI datacenter subsidiary that represents approximately 50% of the $250 million DCF valuation. LT350 deploys GPU-dense inference infrastructure in the unused airspace above existing parking lots, enabling rapid, scalable, and power-sovereign AI compute capacity without the land, water, and permitting constraints of traditional datacenters. The company’s architecture includes modular canopies, GPU cartridges, battery-buffered power, and zero-water liquid cooling.
“Auddia entered the recent financing as a company valued by the market at roughly $2 million. The merger introduces a multi-subsidiary AI platform supported by an internal $250 million discounted cash flow valuation framework. Completing this financing allows us to accelerate the closing process and gives the market an opportunity to value the combined company on the basis of the new assets coming into McCarthy Finney,” said Jeff Thramann, CEO of Auddia and Founder of the Thramann Holdings entities.
Upon closing, the combined company operating as McCarthy Finney will comprise four AI-driven subsidiaries: LT350 (distributed AI datacenters), Influence Healthcare (AI-driven value-based care), Voyex (agentic AI travel rebooking), and Auddia (AI-driven music discovery). The market has already shown strong interest in LT350’s role in the future of AI infrastructure, as evidenced by significant trading volume following a recent patent announcement.
For more information about LT350, visit www.LT350.com. LT350’s whitepaper, “Distributed, Power-Sovereign AI Infrastructure for the Inference Economy,” is available here.
