Auddia's LT350 Business Proposes AI Infrastructure Revolution Through Parking Lot Canopy Integration

Auddia Inc. (NASDAQ: AUUD) announced a strategic overview of LT350, a distributed AI compute business designed to address GPU underutilization and grid-constrained datacenter deployment. LT350 is one of three businesses that would combine with Auddia in a new holding company if Auddia's business combination with Thramann Holdings, LLC is completed. The proprietary technology, protected by 13 issued and 3 pending patents, deploys a network of small, interconnected data centers across parking lots without absorbing parking space by integrating modular GPU, memory, and battery cartridges into the ceiling of a proprietary solar parking-lot canopy.

Jeff Thramann, CEO of Auddia and founder of LT350, stated that while hyperscalers built the training layer, LT350 is building the distributed inference layer, which he believes will be faster to deploy, cheaper to operate, and more energy efficient while generating premium revenue. The architecture enables high-performance compute deployment directly at points of need, such as hospitals, financial campuses, and logistics hubs, without displacing parking or requiring new land acquisition. Thramann emphasized that LT350 solves latency, power, and land constraints by integrating compute into a patented solar canopy, preserving parking functionality while creating a revenue-producing AI infrastructure layer.

The LT350 architecture is purpose-built for customers requiring deterministic performance, physical data sovereignty, and operational proximity. Target verticals include hospitals needing HIPAA-aligned inference, financial institutions requiring low-latency execution, and defense organizations with strict isolation requirements. By placing AI compute feet from these environments, LT350 delivers performance levels management believes centralized cloud data centers cannot match. The business serves inference workloads that cannot be efficiently handled in centralized data centers, competing by providing high-quality services for sensitive data rather than on price.

LT350's power-sovereign architecture integrates solar generation and battery storage into each canopy, enabling behind-the-meter power buffering, peak-shaving, and reduced interconnection requirements. This design aims to scale despite grid constraints. Parking-lot deployment offers zero land acquisition costs, no loss of parking functionality, and faster deployment with minimized zoning hurdles, resulting in deployment in months with lower capital expenditure. The economic model combines modular GPU deployment, solar-plus-storage systems, and parking-lot-based data centers for a different cost and performance profile, including higher utilization, higher revenue from quality services, lower energy costs, and improved resilience from a distributed network.

LT350 accounts for approximately 50% of McCarthy Finney's $250 million discounted cash flow valuation. For more information, visit https://www.LT350.com. The announcement contains forward-looking statements subject to risks and uncertainties, including the completion of the proposed merger. Important additional information will be filed with the SEC, available at https://www.sec.gov. Investors can obtain free copies of documents from Auddia's website at https://www.auddia.com.