Auddia Inc. (NASDAQ: AUUD) announced today 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 existing parking lots. 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.
LT350 is one of three new businesses that would be combined with Auddia in the new McCarthy Finney holding company upon completion of the proposed business combination with Thramann Holdings, LLC. The technology solves the biggest constraints in AI infrastructure—land, power, cooling, and community compatibility—while supporting mobility, logistics, and robotics workloads that hyperscale datacenters cannot optimally handle.
Jeff Thramann, CEO of Auddia and founder of LT350, emphasized the competitive advantage of the IP portfolio. 'Our IP portfolio is the foundation of LT350's competitive advantage. 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, including canopy architecture that deploys datacenter-grade compute in parking lot airspace, eliminating land acquisition and zoning battles. Modular GPU and battery cartridges enable rapid installation and a 2:1 GPU-to-battery ratio for lower electricity costs. Closed-loop liquid cooling consumes zero water, avoiding evaporative cooling noise, water rights issues, and environmental discharge. Power-aware, grid-supportive operation includes circuit-level deployment, off-peak battery charging, automatic grid relief during constraints, and solar energy generation. Distributed mesh and hyperscaler interoperability provide low-latency, highly secure edge inference with cloud overflow routing. Mobility, logistics, and robotics integration supports autonomous vehicle fleet inference, robotics coordination, warehouse capabilities, real-time sensor fusion, and autonomous EV and drone charging.
The IP-protected architecture supports large-scale deployments. 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, with applicability across healthcare systems, universities, retail, industrial hubs, municipal properties, mobility hubs, convenience stores, stadiums, and smart cities.
'The REIT footprint is just one example of where LT350 can scale,' Thramann added. 'Our patents allow us to operate across industries and property types in ways traditional datacenter models cannot. This is the foundation of LT350's long-term strategic advantage.'
For more information about LT350, visit LT350.com. The LT350 whitepaper, 'Distributed, Power-Sovereign AI Infrastructure for the Inference Economy,' is available here.
About LT350, LLC: LT350 is a distributed AI data center company with 13 issued and 3 pending patents covering a proprietary solar parking lot canopy infrastructure platform that integrates modular battery storage and GPU cartridges into the ceiling of the canopy to turn any parking lot into an AI data center. About Auddia Inc.: Auddia, through its proprietary AI platform for audio, is reinventing how consumers engage with audio content and how artists promote their music. For more information, visit auddia.com.
