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 deploy the first pilot installation of LT350's solar-integrated AI micro-datacenter canopy. The pilot is expected to take place at a hospital property in the Dallas Fort Worth metropolitan area, marking a significant step in bringing distributed AI infrastructure to healthcare campuses.
The Medical REIT owns and manages approximately 200 medical facilities across the United States, including hospitals, ambulatory surgery centers, and medical office buildings. According to the announcement, the portfolio encompasses about 4,000,000 square feet of parking lot space, which LT350 estimates could support up to 960 megawatts of training or 350 megawatts of inference compute capacity. LT350 is one of three new businesses that will be combined with Auddia in the new McCarthy Finney holding company, pending completion of Auddia's recently announced business combination with Thramann Holdings, LLC.
LT350's patented architecture integrates modular GPU, memory, and battery storage cartridges directly into the ceiling of its proprietary solar canopy. This design enables high-performance AI compute to be deployed above existing parking lots without absorbing parking spaces or requiring new land acquisition. The LOI is non-binding and does not obligate either party to proceed with the pilot, but it outlines the parties' intent to collaborate on validating the technology in a real-world healthcare environment.
“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 deploy high-performance AI compute at the point of need, support HIPAA-aligned inference workloads, reduce grid impact through solar generation and battery buffering, preserve all parking functionality, and demonstrate the operational and economic advantages of distributed inference. LT350 estimates that approximately 18 months of design, engineering, and testing work will be required following the closing of the proposed merger to stand up the first canopy with its integrated GPU, memory, and battery storage cartridges. Because LT350 represents a new class of distributed AI infrastructure, the company believes this timeline reflects the rigor required to validate performance, safety, reliability, and compliance in a hospital environment.
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, enabling deployment without requiring land acquisition while providing property owners with a new revenue stream tied to AI infrastructure.
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. The company believes that LT350's ability to turn underutilized parking lots into solar-powered AI micro-datacenters represents a compelling opportunity for property owners, hyperscalers, and enterprise customers. For information about LT350, please visit www.LT350.com.
This announcement comes as Auddia continues to advance its business combination with Thramann Holdings. The proposed merger is subject to various conditions, including approval by Auddia's stockholders and the receipt of necessary financing. Additional details about the transaction and related risks are available in filings with the SEC, including the Form S-4 and Proxy Statement to be filed in connection with the merger. Investors can find these documents on the SEC's website at www.sec.gov or on Auddia's website.
