Auddia’s 14th Patent Strengthens Distributed AI Edge Data Center Model Using Parking Lot Airspace

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 that uses canopy structures to deploy high-density AI compute in the airspace above parking lots. This patent strengthens LT350’s proprietary architecture, which the company says solves major constraints in AI infrastructure: land, power, cooling, and community compatibility.

The new patent supports LT350’s canopy-based deployment model, which turns underutilized parking lot airspace into distributed AI inference data centers at the edge. The company’s IP 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.

‘Our IP portfolio is the foundation of LT350’s competitive advantage,’ said Jeff Thramann, CEO of Auddia and Founder of LT350, in a statement. ‘It protects a deployment model that solves the biggest constraints in AI infrastructure — land, power, cooling, and community compatibility — while also enabling mobility, logistics, and robotics workloads that hyperscale datacenters cannot optimally support.’

LT350’s patents span the full stack of its distributed AI infrastructure model. The canopy architecture deploys datacenter-grade compute in parking lot airspace, eliminating land acquisition and zoning battles. Modular GPU and battery cartridges allow rapid installation and replacement, with a 2:1 GPU-to-battery ratio to lower electricity costs. Closed-loop liquid cooling consumes zero water, avoiding evaporative cooling noise and water rights issues. Power-aware, grid-supportive operation includes off-peak battery charging and automatic grid relief during periods of constraint, along with solar energy generation. The system also features distributed mesh and hyperscaler interoperability for low-latency, secure edge inference, and integrates with autonomous vehicle fleets, robotics coordination, and warehouse logistics.

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 960,000 GPUs across the full footprint. This represents just one customer and one property type; the architecture is applicable across healthcare systems, universities, retail, industrial hubs, municipal properties, stadiums, and smart cities.

‘Our patents allow us to operate across industries and property types in ways traditional datacenter models cannot,’ Thramann added. ‘This is the foundation of LT350’s long-term strategic advantage.’

LT350 is one of three new businesses that would be combined with Auddia in the new McCarthy Finney holding company if Auddia’s recently announced business combination with Thramann Holdings, LLC is completed. The company’s whitepaper, Distributed, Power-Sovereign AI Infrastructure for the Inference Economy, is available on its website.

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