Auddia Secures 14th Patent for Distributed AI Edge Data Centers in Parking Lot Airspace

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. The patent strengthens LT350's proprietary canopy-based deployment architecture, which transforms unused airspace above parking lots into high-density AI inference datacenters at the edge. The company's 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, subject to completion of the recently announced business combination with Thramann Holdings, LLC. Jeff Thramann, CEO of Auddia and founder of LT350, emphasized the strategic importance 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."

The newly allowed patent addresses key challenges facing AI infrastructure expansion. Traditional datacenters require significant land acquisition, face zoning battles, and consume large amounts of water and power. LT350's canopy architecture deploys datacenter-grade compute in parking lot airspace, eliminating land acquisition and community resistance. The modular GPU and battery cartridges support rapid installation and replacement, with a 2:1 GPU-to-battery ratio enabling lower electricity costs. Closed-loop liquid cooling uses zero water, avoiding evaporative cooling noise, water rights, and municipal hookups. The system is power-aware and grid-supportive, operating at the circuit level, charging batteries off-peak, and providing automatic grid relief during periods of constraint. Solar energy generation further enhances sustainability.

LT350's distributed mesh and hyperscaler interoperability allow edge inference across ubiquitous parking lots, providing low latency and high security due to proximity to model use. The system supports high resilience across multiple interconnected nodes and cloud overflow routing as needed. Additionally, the platform integrates mobility, logistics, and robotics workloads, including autonomous vehicle fleet inference, robotics coordination, warehouse and logistics capabilities at the edge, 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, with applicability across healthcare systems, universities, retail and commercial real estate, 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 on LT350, visit www.LT350.com. The company's whitepaper is available here.