Auddia Inc. (NASDAQ: AUUD) announced today that its subsidiary LT350 has signed a non-binding Letter of Intent (LOI) with a NYSE-listed medical REIT to host the first pilot installation of LT350's solar-integrated AI micro-datacenter canopy 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.
LT350's patented architecture integrates modular GPU, memory, and battery storage cartridges directly 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 pilot will focus on validating LT350's ability to deploy high-performance AI compute directly 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.
“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.”
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 LT350 canopy. Because LT350 represents a new class of distributed AI infrastructure, LT350 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, including the Medical REIT, for the use of parking‑lot airspace and canopy infrastructure. This structure enables LT350 to deploy distributed AI datacenters without requiring land acquisition while providing property owners with a new revenue stream tied to AI infrastructure. The Company believes this model aligns incentives between LT350 and its real estate partners and supports scalable deployment across large property portfolios.
While the Company advances 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. For information about LT350, please visit www.LT350.com.
The LOI is non‑binding and does not obligate either party to proceed with the pilot. The announcement comes as Auddia pursues a business combination with Thramann Holdings, LLC, which would combine LT350 with Auddia in the new McCarthy Finney holding company.
