Auddia Announces LT350 Micro Warehouse Network in Parking Lots for Last Mile Delivery Patented canopy platform transforms parking lots into logistics infrastructurePickDrop AI coordinates drones, autonomous EVs, and human couriersBOULDER, CO, March 25, 2026 – PRISM MediaWire (Press Release Service – Press Release Distribution) – Auddia Inc.(NASDAQ: AUUD) (“Auddia” or the “Company”) today announced LT350’s patented, parking lot native micro warehouse network designed to solve the last mile delivery challeng ...

Patented canopy platform transforms parking lots into logistics infrastructure PickDrop AI coordinates drones, autonomous EVs, and human couriers BOULDER, Colo., March 25, 2026 (GLOBE NEWSWIRE) -- Auddia Inc. (NASDAQ: AUUD) (“Auddia” or the “Company”) today announced LT350’s patented, parking lot native micro warehouse network designed to solve the last mile delivery challenge through a unified system that integrates drones, autonomous EVs, and human couriers. Built on LT350’s solar-integrated canopy archit ...

Core Insights - Auddia Inc. has launched the LT350 initiative to establish a distributed AI datacenter infrastructure aimed at supporting the autonomous vehicle (AV) industry, addressing a critical technology gap in the sector [2][3][4] Industry Overview - The global shift towards autonomous mobility is accelerating, with significant partnerships forming, such as Nvidia's collaboration with Uber to deploy 100,000 Level 4 robotaxis starting in 2027 across major cities [3][4] - The AV industry is projected to require extensive compute infrastructure that is geographically and operationally scalable, as fleets grow into the tens of thousands per city [4][5] Company Initiative - The LT350 platform is designed to redefine AI infrastructure through modular, power-sovereign datacenter canopies, which will be strategically positioned in urban and rural environments [3][6] - Auddia's LT350 initiative aims to replace traditional canopies at convenience stores and fuel stations with solar-integrated structures that house modular GPU compute, high-bandwidth memory, and battery storage [8][15] Technological Advantages - LT350's architecture allows for real-time inference at the edge, enabling AVs to access compute resources within close proximity, enhancing safety and efficiency [10] - The initiative facilitates instant data offload and model refresh while vehicles charge, accelerating fleet learning cycles and optimizing onboard storage [11] - The distributed compute network aligns with fleet density, ensuring continuous uptime and predictable performance for AV operations [12] Strategic Partnerships - Auddia is in discussions with multiple global convenience-store and gas-station chains to deploy the LT350 canopies, leveraging their real estate for optimal AV fleet support [13][14]

Auddia Highlights LT350 as Resilient AI Infrastructure as Iran War Exposes Vulnerabilities in Centralized Hyperscale Datacenters Iran war shows hyperscale AI sites are now military targetsDistributed network of LT350 datacenters removes single points of failureIntegration of LT350 datacenters into parking lot canopies reduces satellite detectionBOULDER, CO, March 16, 2026 – PRISM MediaWire (Press Release Service – Press Release Distribution) – Auddia Inc. (NASDAQ: AUUD) (“Auddia” or the “Company”), today h ...

Core Insights - Auddia Inc. has signed a non-binding Letter of Intent (LOI) with a NYSE listed medical REIT to deploy LT350's first solar-integrated AI micro-datacenter canopy at a hospital in the Dallas Fort Worth MSA [2][3] - The Medical REIT manages approximately 200 medical properties, providing a significant opportunity for LT350 to expand its technology across a large portfolio if the pilot is successful [5][6] Company Overview - Auddia is combining LT350 with its business through a merger with Thramann Holdings, aiming to create a new holding company [2] - LT350 specializes in distributed AI data centers, utilizing patented solar parking lot canopy infrastructure to integrate modular GPU, memory, and battery storage [10] Pilot Project Details - The pilot project will validate LT350's ability to deliver high-performance AI compute directly adjacent to clinical operations, which is critical in healthcare environments [4][5] - The estimated timeline for the design, engineering, and testing of the first LT350 canopy is approximately 18 months post-merger [4] Deployment Model - LT350 plans to enter site-specific lease agreements with property owners, allowing deployment of AI datacenters without land acquisition, thus providing a new revenue stream for property owners [6] - This model is designed to align incentives between LT350 and its real estate partners, facilitating scalable deployment across large property portfolios [6] Strategic Vision - The pilot is viewed as the first step in a broader strategy to introduce distributed AI infrastructure to healthcare campuses nationwide, targeting high-value inference environments [6][8] - LT350 aims to turn underutilized parking lots into solar-powered AI micro-datacenters, benefiting property owners and enterprise customers seeking secure AI capabilities [8][9]

Core Insights - Auddia Inc. has announced a non-binding Letter of Intent (LOI) with a NYSE-listed medical REIT to host LT350's first pilot installation at a hospital in the Dallas Fort Worth MSA, which could lead to significant advancements in AI infrastructure in healthcare [1][2][3] Group 1: Pilot Installation and Technology - The LOI aims to deploy LT350's solar-integrated, parking-lot-based AI micro-datacenter canopy, which integrates modular GPU, memory, and battery storage into the ceiling of the solar canopy, allowing high-performance AI compute without occupying parking spaces [2][4] - LT350 estimates that approximately 18 months of design, engineering, and testing will be required to establish the first canopy after the proposed merger with Thramann Holdings is completed, reflecting the rigorous validation needed for performance and compliance in a hospital setting [4] Group 2: Expansion Potential - If the pilot is successful, LT350 plans to expand its technology across the Medical REIT's portfolio of nearly 200 medical properties, including hospitals and outpatient facilities, where proximity and data security are critical for AI applications [5][6] - The company views this pilot as a strategic step towards deploying distributed AI infrastructure in healthcare facilities nationwide, emphasizing the high value of inference environments in hospitals [6] Group 3: Business Model and Revenue Generation - LT350's business model involves entering site-specific lease agreements with property owners for the use of parking-lot airspace and canopy infrastructure, creating a new revenue stream for property owners while facilitating AI infrastructure deployment [6][8] - The deployment model aims to support HIPAA-aligned inference workloads, reduce grid impact through solar generation, and maintain parking functionality, demonstrating the operational and economic advantages of distributed inference [7][8] Group 4: Future Partnerships and Market Opportunities - While preparing for the pilot, LT350 intends to seek additional partnerships with healthcare systems, logistics operators, and research campuses to further deploy distributed AI compute in parking-lot environments [9] - The company believes that transforming underutilized parking lots into solar-powered AI micro-datacenters presents a compelling opportunity for property owners and enterprise customers seeking secure AI capabilities without land acquisition [10][11]

Core Insights - Auddia Inc. has launched its brand activation for Discovr Radio at the 2026 SXSW Conference, aiming to enhance music promotion for artists through AI technology [1][4] - The company has received over 5,000 music submissions since the MVP launch of Discovr Radio, indicating strong initial engagement [4] Group 1: Event Details - Auddia will host six Demo Listening Events at SXSW, allowing artists to present their music to industry professionals for real-time feedback [2][3] - Each event can accommodate 150 to 200 attendees, open to all SXSW participants and over 1,000 showcasing artists [2] Group 2: Company Objectives - The mission of Auddia is to connect listeners, artists, and the radio ecosystem through data-driven discovery, providing guaranteed exposure and performance insights [5] - The company aims to accelerate artist onboarding and expand awareness of its music promotion engine through live demonstrations at SXSW [4][5] Group 3: Technology and Innovation - Auddia's proprietary AI platform is designed to transform how consumers engage with audio content, including AM/FM radio and podcasts [6] - Discovr Radio is positioned as the first music-promotion platform that guarantees exposure to radio listeners [6]

Financial Performance - Auddia's net losses were $7,693,197 and $8,722,039 for the years ended December 31, 2025 and 2024, respectively[133]. - The company anticipates continued significant expenses and operating losses for the foreseeable future as it develops and commercializes new products[134]. - Auddia's ability to generate revenue from product sales depends heavily on the successful development and commercialization of future software products[139]. - The company may face excessive licensing costs for providing access to AM/FM radio station simulcasts, impacting financial condition[160]. - The company may face substantial liability from indemnity provisions in agreements with customers, which could adversely affect its financial condition[179]. Cash and Financing - The company had cash and cash equivalents of $3.2 million at December 31, 2025, and secured approximately $7.1 million in additional financing in 2025[132]. - Auddia must have at least $12 million of net cash immediately prior to the closing of the merger with Thramann Holdings[128]. - If the merger is not completed, Auddia could be required to pay a termination fee of $600,000 and reimburse up to $200,000 for expenses related to the merger[126]. - In 2025, the company sold 995,000 shares to White Lion for total proceeds of approximately $3.7 million, indicating reliance on equity line facilities for funding[182]. - The company amended its equity line agreement to allow for up to $50 million in aggregate gross purchase price of newly issued shares until December 31, 2027[183]. - The company issued 1,007,761 shares for approximately $2.7 million under its ATM facility during the year ended December 31, 2025[185]. Stockholder Impact - Auddia's stockholders may experience substantial dilution of their ownership interests due to the merger and potential additional financing[130]. - Auddia's stock price may decline significantly if the merger is delayed or abandoned, affecting future business operations[126]. - As of March 4, 2026, the company has 3,856,348 shares of common stock issued and outstanding, with substantial shares eligible for sale into the public market, potentially impacting stock price[181]. - The company does not anticipate paying any cash dividends on its capital stock in the foreseeable future, with capital appreciation being the sole source of gain for shareholders[210]. Regulatory and Compliance Risks - The company is subject to risks related to changes in music licensing costs, which could impact operational costs and access to content[142]. - Changes in regulations regarding privacy and data protection could increase costs and affect how the company collects and uses personal information[156][157]. - The California Consumer Privacy Act (CCPA) will afford consumers expanded privacy protections and may require significant modifications to data processing practices[157]. - Compliance with GDPR and CCPA may incur significant costs and affect customer data sharing, potentially harming business operations[158]. - Changes in laws and regulations regarding data collection and privacy could increase operational costs and limit service capabilities, adversely affecting revenue[159]. Intellectual Property and Legal Risks - The company is focused on obtaining and maintaining patent protection for its products, as failure to do so could allow competitors to develop similar products, adversely affecting commercialization efforts[144]. - The patent prosecution process is expensive and time-consuming, and there is a risk of failing to identify patentable aspects of research and development output[146]. - Litigation risks related to intellectual property could divert management resources and negatively impact financial performance[164]. - The company relies on unpatented proprietary technology, which may be independently developed by others, posing a risk to competitive advantage[168]. - Open source software usage may lead to increased costs and potential litigation, affecting operational results[175]. - Intellectual property litigation could result in significant management distraction and adverse publicity, harming customer attraction and retention[177]. - The company may face claims of intellectual property infringement, which could lead to costly settlements and operational disruptions[173]. Operational and Management Challenges - Retaining key employees and attracting qualified personnel is critical for the company's success, as competition for skilled personnel is intense[150][151]. - The company must effectively manage expected growth in operations, which may require expanding managerial and operational systems[152]. - Cybersecurity-related attacks or data breaches could negatively impact the company's business, leading to unauthorized access to sensitive information and potential liabilities[153]. - The company has identified material weaknesses in its internal control over financial reporting, which may affect compliance with Section 404 of the Sarbanes-Oxley Act[204]. - If unable to remediate identified weaknesses in internal controls, the company may face negative impacts on investor confidence and stock price[205]. Governance and Corporate Structure - The company is classified as an "emerging growth company," allowing it to rely on reduced disclosure requirements, which may affect investor attractiveness[199]. - The company is subject to anti-takeover provisions under Delaware law, which may discourage or delay beneficial acquisitions and limit stockholder actions[207]. - The company’s charter allows the board of directors to issue preferred stock without stockholder approval, potentially diluting the stock ownership of hostile acquirers[211]. - The company’s charter designates the Court of Chancery of the State of Delaware as the exclusive forum for certain stockholder litigation, potentially limiting favorable judicial options[212]. - The company’s provisions may frustrate stockholder attempts to replace or remove current management, making governance changes more difficult[208]. - The company is governed by Section 203 of the DGCL, which restricts individuals owning over 15% of voting stock from merging with the company for three years[209]. - The company’s choice of forum provisions may discourage lawsuits against its directors and officers, potentially increasing costs if disputes arise in other jurisdictions[213].

Initial data demonstrates significant artist engagement and conversion beyond passive streaming listening Artist profile views by faidr listeners currently running at 3x original expectations BOULDER, Colo., March 05, 2026 (GLOBE NEWSWIRE) -- Auddia Inc. (NASDAQ: AUUD) (NASDAQ: AUUDW) (“Auddia” or the “Company”), an AI-first technology company that has built a proprietary AI platform for audio identification and classification to reinvent how consumers engage with audio, today announced initial performance ...

Core Insights - Auddia Inc. announced a strategic overview of LT350, a distributed AI compute business designed to address GPU underutilization and grid-constrained datacenter deployment, which is expected to enhance AI infrastructure efficiency [1][2] Group 1: LT350 Overview - LT350 is protected by 13 issued and 3 pending patents, creating a differentiated deployment platform for distributed AI infrastructure [2] - The architecture integrates modular GPU, memory, and battery cartridges into a solar parking-lot canopy, transforming parking lots into revenue-generating AI datacenters without occupying parking space [2][5] - LT350 aims to provide faster deployment, lower operational costs, and improved energy efficiency compared to traditional centralized datacenters [3][5] Group 2: Market Demand and Target Verticals - The shift from centralized training to real-time, distributed inference is driving demand for compute solutions that are physically close to data sources and less dependent on regional electrical grids [4][6] - Target verticals for LT350 include hospitals, financial institutions, defense organizations, biotech campuses, and autonomous vehicle fleets, all requiring low-latency and compliant inference services [7][8] Group 3: Competitive Positioning - LT350 is not competing on price with hyperscalers but aims to complement them by serving specialized inference workloads that require high performance and compliance [8] - The company believes that its architecture provides performance and assurance levels that centralized cloud datacenters cannot match, particularly for high-paying customers with sensitive data [8] Group 4: Economic and Deployment Advantages - LT350's deployment in existing parking lots allows for zero land acquisition costs and preserves parking functionality, leading to faster and cheaper deployment [10][14] - The integration of solar generation and battery storage into the canopies supports grid resilience and positions LT350 to scale amid increasing grid constraints [9][15]