Auddia Inc. (NASDAQ: AUUD) announced today that its subsidiary LT350 has signed a non-binding Letter of Intent (LOI) with a NYSE-listed medical real estate investment trust (REIT) to host LT350's first pilot installation at a hospital property in the Dallas Fort Worth MSA. The Medical REIT owns and manages approximately 200 medical facilities across the United States, including hospitals, ambulatory surgery centers, and medical office buildings. This announcement highlights a potential shift in how AI infrastructure can be deployed directly at the point of need, particularly in latency-sensitive and data-secure environments like healthcare.
The LOI outlines plans to deploy LT350's first solar-integrated, parking-lot-based AI micro-datacenter canopy. LT350's patented architecture integrates modular GPU, memory, and battery storage cartridges into the ceiling of its proprietary solar canopy, enabling high-performance AI compute to be deployed above existing parking lots without absorbing parking spaces or requiring new land acquisition. The company estimates that approximately 18 months of design, engineering, and testing will be required following the closing of the proposed merger to stand up the first canopy.
"Healthcare is one of the most latency sensitive and data security intensive environments for AI inference," said Jeff Thramann, M.D., CEO of Auddia and founder of LT350. "We believe this LOI represents a meaningful validation of LT350's potential to deliver secure, high-performance, on-premise inference compute directly adjacent to clinical operations." The pilot will focus on validating LT350's ability to support HIPAA-aligned inference workloads, reduce grid impact through solar generation and battery buffering, and preserve all parking functionality.
If the pilot is successful, LT350 expects to expand across the Medical REIT's broader portfolio of almost 200 medical properties as applicable. These properties include hospitals, outpatient facilities, and medical office buildings—locations where proximity, data sovereignty, and deterministic performance are critical for AI-driven clinical and operational workflows. Under its proposed business model, LT350 anticipates entering into site-specific lease agreements with property owners for the use of parking-lot airspace and canopy infrastructure, providing property owners with a new revenue stream tied to AI infrastructure.
The company believes that approximately 4,000,000 square feet of parking lot space across the portfolio supports up to 960 MW of training or 350 MW of inference compute. While advancing the engineering and testing required for the pilot, LT350 intends to pursue additional partnerships with healthcare systems, logistics operators, research campuses, and other organizations seeking to deploy distributed AI compute in parking-lot environments. More information about LT350 is available at www.LT350.com.
LT350 is one of three new businesses that will be combined with Auddia in the new McCarthy Finney holding company if Auddia's recently announced business combination with Thramann Holdings, LLC is completed. The company views this pilot as the first step in a broader strategy to bring distributed AI infrastructure to healthcare campuses nationwide. Additional details about Auddia can be found at www.auddia.com.
The announcement comes as Auddia progresses toward its proposed merger with Thramann Holdings, which is expected to close pending stockholder approval and other conditions. The company has filed relevant materials with the SEC, including a registration statement on Form S-4 that will contain a proxy statement and prospectus, which investors are urged to read carefully when available.
