Auddia Announces LT350 Micro Warehouse Network in Parking Lots for Last Mile Delivery Patented canopy platform transforms parking lots into logistics infrastructurePickDrop AI coordinates drones, autonomous EVs, and human couriersBOULDER, CO, March 25, 2026 – PRISM MediaWire (Press Release Service – Press Release Distribution) – Auddia Inc.(NASDAQ: AUUD) (“Auddia” or the “Company”) today announced LT350’s patented, parking lot native micro warehouse network designed to solve the last mile delivery challeng ...

Patented canopy platform transforms parking lots into logistics infrastructure PickDrop AI coordinates drones, autonomous EVs, and human couriers BOULDER, Colo., March 25, 2026 (GLOBE NEWSWIRE) -- Auddia Inc. (NASDAQ: AUUD) (“Auddia” or the “Company”) today announced LT350’s patented, parking lot native micro warehouse network designed to solve the last mile delivery challenge through a unified system that integrates drones, autonomous EVs, and human couriers. Built on LT350’s solar-integrated canopy archit ...

Core Insights - Auddia Inc. has signed a non-binding Letter of Intent (LOI) with a NYSE listed medical REIT to deploy LT350's first solar-integrated AI micro-datacenter canopy at a hospital in the Dallas Fort Worth MSA [2][3] - The Medical REIT manages approximately 200 medical properties, providing a significant opportunity for LT350 to expand its technology across a large portfolio if the pilot is successful [5][6] Company Overview - Auddia is combining LT350 with its business through a merger with Thramann Holdings, aiming to create a new holding company [2] - LT350 specializes in distributed AI data centers, utilizing patented solar parking lot canopy infrastructure to integrate modular GPU, memory, and battery storage [10] Pilot Project Details - The pilot project will validate LT350's ability to deliver high-performance AI compute directly adjacent to clinical operations, which is critical in healthcare environments [4][5] - The estimated timeline for the design, engineering, and testing of the first LT350 canopy is approximately 18 months post-merger [4] Deployment Model - LT350 plans to enter site-specific lease agreements with property owners, allowing deployment of AI datacenters without land acquisition, thus providing a new revenue stream for property owners [6] - This model is designed to align incentives between LT350 and its real estate partners, facilitating scalable deployment across large property portfolios [6] Strategic Vision - The pilot is viewed as the first step in a broader strategy to introduce distributed AI infrastructure to healthcare campuses nationwide, targeting high-value inference environments [6][8] - LT350 aims to turn underutilized parking lots into solar-powered AI micro-datacenters, benefiting property owners and enterprise customers seeking secure AI capabilities [8][9]

Core Insights - Auddia Inc. has announced a non-binding Letter of Intent (LOI) with a NYSE-listed medical REIT to host LT350's first pilot installation at a hospital in the Dallas Fort Worth MSA, which could lead to significant advancements in AI infrastructure in healthcare [1][2][3] Group 1: Pilot Installation and Technology - The LOI aims to deploy LT350's solar-integrated, parking-lot-based AI micro-datacenter canopy, which integrates modular GPU, memory, and battery storage into the ceiling of the solar canopy, allowing high-performance AI compute without occupying parking spaces [2][4] - LT350 estimates that approximately 18 months of design, engineering, and testing will be required to establish the first canopy after the proposed merger with Thramann Holdings is completed, reflecting the rigorous validation needed for performance and compliance in a hospital setting [4] Group 2: Expansion Potential - If the pilot is successful, LT350 plans to expand its technology across the Medical REIT's portfolio of nearly 200 medical properties, including hospitals and outpatient facilities, where proximity and data security are critical for AI applications [5][6] - The company views this pilot as a strategic step towards deploying distributed AI infrastructure in healthcare facilities nationwide, emphasizing the high value of inference environments in hospitals [6] Group 3: Business Model and Revenue Generation - LT350's business model involves entering site-specific lease agreements with property owners for the use of parking-lot airspace and canopy infrastructure, creating a new revenue stream for property owners while facilitating AI infrastructure deployment [6][8] - The deployment model aims to support HIPAA-aligned inference workloads, reduce grid impact through solar generation, and maintain parking functionality, demonstrating the operational and economic advantages of distributed inference [7][8] Group 4: Future Partnerships and Market Opportunities - While preparing for the pilot, LT350 intends to seek additional partnerships with healthcare systems, logistics operators, and research campuses to further deploy distributed AI compute in parking-lot environments [9] - The company believes that transforming underutilized parking lots into solar-powered AI micro-datacenters presents a compelling opportunity for property owners and enterprise customers seeking secure AI capabilities without land acquisition [10][11]