Auddia Inc. (NASDAQ: AUUD) announced that the U.S. Patent and Trademark Office has allowed its 14th patent for LT350, a distributed AI infrastructure platform. This patent strengthens LT350's proprietary canopy-based deployment architecture, which installs high-density AI compute in the unused airspace above parking lots. The portfolio now includes 16 issued and pending patents covering canopy structures, modular compute cartridges, battery systems, closed-loop cooling, power-aware operation, distributed mesh connectivity, and mobility/logistics integration.
LT350 is one of three businesses to be combined with Auddia in the new McCarthy Finney holding company, pending the completion of a business combination with Thramann Holdings, LLC. The patent protects a deployment model that solves the biggest constraints in AI infrastructure: land, power, cooling, and community compatibility. According to Jeff Thramann, CEO of Auddia and Founder of LT350, the IP portfolio is the foundation of LT350's competitive advantage, enabling mobility, logistics, and robotics workloads that hyperscale data centers cannot optimally support.
The patents cover the full stack of LT350's distributed AI infrastructure model. Canopy architecture deploys data center-grade compute in parking lot airspace, eliminating land acquisition and zoning battles. Modular GPU and battery cartridges enable rapid installation and replacement, with a 2:1 GPU-to-battery ratio to lower electricity costs. Closed-loop liquid cooling achieves zero water consumption, with no evaporative cooling, water rights, or wastewater discharge. Power-aware, grid-supportive operation includes circuit-level deployment, off-peak battery charging, automatic grid relief, and solar energy generation. Distributed mesh and hyperscaler interoperability provide low-latency, secure inference across multiple nodes, with cloud overflow routing as needed. The platform also integrates mobility, logistics, and robotics workloads, including autonomous vehicle fleet inference, robotics coordination, warehouse capabilities, real-time sensor fusion, and autonomous EV and drone charging.
Auddia previously announced that LT350's REIT partner controls 4,000,000 square feet of suitable parking lot airspace. LT350's patented canopy design can support 480 GPUs per 2,000 square feet of canopy space, enabling up to 2,000 canopies and 960,000 GPUs across the full footprint. This footprint represents one customer and one property type. LT350's architecture is applicable across healthcare systems, universities, retail, industrial hubs, municipal properties, mobility hubs, convenience stores, stadiums, and smart cities. Thramann emphasized that the REIT footprint is just one example of where LT350 can scale, operating across industries and property types in ways traditional data center models cannot.
For information about LT350, visit www.LT350.com. LT350's whitepaper, "Distributed, Power-Sovereign AI Infrastructure for the Inference Economy," is available here.
