Auddia’s LT350 Secures 14th Patent for Parking Lot AI Data Centers

Auddia Inc. (NASDAQ: AUUD) has announced that the U.S. Patent and Trademark Office will allow its 14th patent for LT350, a distributed AI infrastructure platform that transforms parking lot airspace into edge data centers. This patent strengthens LT350’s proprietary canopy-based deployment architecture, which enables high-density AI compute in underutilized spaces, avoiding land acquisition, zoning conflicts, and community resistance. The company’s IP portfolio now includes 16 issued and pending patents covering canopy structures, modular GPU cartridges, battery systems, closed-loop cooling, and grid-supportive power management. LT350’s approach addresses critical constraints in AI infrastructure—land, power, cooling, and community compatibility—while supporting mobility, logistics, and robotics workloads that traditional datacenters cannot efficiently handle. The technology is part of a proposed business combination between Auddia and Thramann Holdings, LLC, forming a new holding company called McCarthy Finney.

The patented canopy design can support 480 GPUs per 2,000 square feet, and with a REIT partner controlling 4 million square feet of suitable parking lot airspace, LT350 could deploy up to 960,000 GPUs across 2,000 canopies. This scalability extends beyond retail to healthcare, universities, industrial hubs, and smart cities. The IP portfolio includes innovations like a 2:1 GPU-to-battery ratio for lower electricity costs, zero-water-consumption liquid cooling, and automatic grid relief during peak demand. CEO Jeff Thramann emphasized that the patents create a defensible moat as demand for AI compute accelerates, making LT350 a strategic player in the edge inference market. The full whitepaper, Distributed, Power-Sovereign AI Infrastructure for the Inference Economy, is available on the LT350 website. This announcement underscores Auddia’s pivot toward AI infrastructure, while its existing audio platform, faidr, continues to offer ad-free radio and podcast features.