Auddia's LT350 to Deploy Solar AI Canopies at Medical REIT Properties

In a groundbreaking development for healthcare technology infrastructure, Auddia Inc. (NASDAQ: AUUD) has announced a significant step forward through its new business, LT350. The company has signed a non-binding Letter of Intent (LOI) with a major NYSE-listed medical Real Estate Investment Trust (REIT) that owns approximately 200 medical facilities across the United States. This partnership aims to deploy LT350's first pilot installation of a revolutionary solar-integrated, parking-lot-based AI micro-datacenter canopy at a hospital property in the Dallas Fort Worth metropolitan area. The initiative represents a strategic move to bring high-performance, on-premise AI inference compute directly adjacent to clinical operations, addressing critical needs in latency-sensitive and data-security-intensive healthcare environments.

The core innovation lies in LT350's patented architecture, which integrates modular GPU, memory, and battery storage cartridges directly into the ceiling of a proprietary solar canopy. This design allows the deployment of distributed AI infrastructure above existing parking lots without consuming parking spaces or requiring new land acquisition. The pilot will focus on validating key capabilities: deploying AI compute at the point of need, supporting HIPAA-aligned inference workloads, reducing grid impact through solar generation and battery buffering, preserving parking functionality, and demonstrating the operational and economic advantages of distributed inference. Following the closing of Auddia's proposed merger with Thramann Holdings, LT350 estimates approximately 18 months of rigorous design, engineering, and testing will be required to stand up the first canopy, reflecting the high standards needed for hospital environments.

If successful, this pilot could scale dramatically across the Medical REIT's portfolio of nearly 200 properties, including hospitals, outpatient facilities, and medical office buildings. LT350's proposed lease-based deployment model would create new revenue streams for property owners by utilizing parking-lot airspace while enabling scalable AI infrastructure deployment. The company views this as the first step in a broader strategy to bring distributed AI infrastructure to healthcare campuses nationwide, targeting what it identifies as among the highest-value inference environments. Beyond healthcare, LT350 intends to pursue additional partnerships with logistics operators, research campuses, and other organizations, positioning its technology as a solution for turning underutilized parking lots into solar-powered AI micro-datacenters. For more information, visit www.LT350.com or explore the company's newsroom at https://tinyurl.com/auudnewsroom.