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Auddia Announces LT350 Initiative to Power the Autonomous Vehicle Revolution with Distributed AI Datacenters

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Auddia (NASDAQ: AUUD) announced the LT350 initiative on March 19, 2026 to position modular, solar-integrated canopy datacenters as a distributed AI compute fabric for autonomous vehicle (AV) fleets.

LT350 combines modular GPU cartridges, high-bandwidth memory, battery storage, and optional EV charging to enable local inference, simultaneous data offload, and model refresh across city-wide meshes of micro-datacenters.

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Positive

  • Modular canopy with GPU, HBM, battery, and optional EV charging
  • Simultaneous charging and data offload at the edge for AV fleets
  • City-wide micro-datacenter mesh designed for low-latency AV inference

Negative

  • No binding commercial agreements disclosed—deployments described as discussions
  • Execution dependent on third-party site partners such as convenience-store and fuel-station chains

Market Context

This announcement positions LT350 as a distributed AI compute fabric for autonomous vehicles, emphas...
Analysis

This announcement positions LT350 as a distributed AI compute fabric for autonomous vehicles, emphasizing data offload plus charging in one location and micro-datacenters near fleet operations. Historically, Auddia’s AI-focused updates have triggered notable moves, with AI-tagged events averaging 53.44% one-day gains. At the same time, recent filings cite zero revenue, substantial losses, and an amended S-3/A tied to preferred stock and warrants, highlighting funding and dilution risks to monitor alongside technical execution of the LT350 initiative.

Key Figures

1-day move (AUUDW): 1532% Volume today: 961,137 52-week range: $0.0022 – $0.0826 +5 more
8 metrics
1-day move (AUUDW) 1532% Price change over prior 24 hours before this news timestamp
Volume today 961,137 Compared with 20-day average volume of 76,814 (12.51x)
52-week range $0.0022 – $0.0826 Price sits 50.61% below 52-week high; 1754.55% above low
Robotaxis planned 100,000 vehicles Level 4 robotaxis in Nvidia-Uber partnership mentioned as industry backdrop
Deployment cities 28 global cities Target cities for Level 4 robotaxis starting in 2027
Deployment start year 2027 Planned start of Level 4 robotaxis deployment in Los Angeles and San Francisco
Series C conversion price $4.77 Assumed conversion price referenced in Form S-3/A
Dividend conversion price $3.69 Assumed dividend conversion price in Form S-3/A

Previous AI Reports

5 past events · Latest: Aug 20 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Aug 20 AI B2B pivot Positive +70.5% Announced B2B shift with AI-powered Discovr Radio and Q1 2026 MVP timeline.
Mar 20 New AI model Positive +5.3% Implemented new AI audio model in faidr to block ads and DJ talk.
Sep 05 AI podcast features Positive +5.2% Launched AI-based Forward+ and Chapter Visualization podcast tools in faidr.
Aug 20 AI app upgrade Positive +15.7% Released faidr 3.1 with enhanced AI features and onboarding improvements.
Apr 08 Core AI patent Positive +170.6% Announced issuance of a core AI patent supporting the platform’s technology base.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged announcements have historically driven strong positive reactions, with an average move of 53.44% and all past AI events showing upside on day one.

Recent Company History

Recent AI-related news for Auddia highlights a consistent strategy of expanding AI capabilities in its faidr app and broader audio platform. From the addition of new AI listening models on Mar 20, 2025 to AI podcast features and the B2B Discovr Radio pivot by Aug 20, 2025, each update focused on enhancing user experience and monetization. A prior AI patent issuance on Apr 08, 2024 also coincided with a sharp positive reaction. Today’s LT350 autonomous mobility initiative extends that AI narrative into edge compute infrastructure.

Key Terms

autonomous vehicle, robotaxi, gpu compute, micro-datacenters, +1 more
5 terms
autonomous vehicle technical
"major initiative to position its LT350 platform as the distributed compute backbone for the rapidly scaling autonomous vehicle (AV) industry"
A vehicle that can navigate and operate without a person actively controlling the steering, braking and acceleration, using onboard sensors, cameras, maps and software to make driving decisions much like a robot chauffeur. Investors watch autonomous vehicles because they can reshape transportation economics—lowering labor and operating costs for fleets, creating new service and data revenues, and introducing regulatory and liability risks that can rapidly change a company's value, similar to how smartphones transformed multiple industries.
robotaxi technical
"Nvidia’s declaration that “everything that moves will eventually be autonomous” and its partnership with Uber to deploy 100,000 Level 4 robotaxis"
A robotaxi is a self-driving vehicle designed to transport passengers without a human driver. It operates autonomously, using sensors and computers to navigate roads and pick up riders, similar to a taxi service but without a driver. For investors, robotaxis represent a potential shift in transportation, promising lower costs and new opportunities in mobility services.
gpu compute technical
"Each canopy contains modular cartridges for GPU compute, high-bandwidth memory, battery storage, and optional EV charging."
GPU compute is the use of graphics processors—chips built to handle many tasks at once—to run heavy, parallelizable calculations beyond graphics, such as machine learning, scientific simulations, and data processing. Think of a GPU as a team of many cooks working together on parts of a large meal while a CPU is the head chef; for investors, GPU compute signals demand for specialized hardware, influences revenue and margins for chipmakers and cloud providers, and can be a key driver of capital spending and competitive advantage.
micro-datacenters technical
"The result is a dense, city-wide mesh of micro-datacenters that AVs can access continuously"
Micro-datacenters are small, self-contained computing hubs placed close to users or devices that hold servers, storage and networking gear. For investors they matter because they can cut delays and bandwidth costs, enable faster services (like real-time sensors or streaming), and change how much a company must spend on infrastructure and where it can expand — think of them as local branches that speed delivery compared with a distant warehouse.
ev charging technical
"battery storage, and optional EV charging. The result is a dense, city-wide mesh"
EV charging is the process of replenishing an electric vehicle’s battery using an external power source, ranging from a standard home outlet (slow, like topping off a phone overnight) to high-power public chargers (fast, like a gas pump). For investors, the availability, speed and cost of charging shape how quickly electric vehicles are adopted and create opportunities and risks across utilities, charging network operators, real estate, and automakers, similar to how gas stations supported the growth of combustion cars.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Fulfills critical industry technology void and aligns with global shift toward autonomous mobility

Distributed AI datacenters positioned for robotaxi and logistics fleets

Data offload + charging in one location

BOULDER, Colo., March 19, 2026 (GLOBE NEWSWIRE) -- Auddia Inc. (NASDAQ: AUUD) (“Auddia” or the “Company”) today announced a major initiative to position its LT350 platform as the distributed compute backbone for the rapidly scaling autonomous vehicle (AV) industry.

LT350, the company redefining AI infrastructure through modular, power-sovereign datacenter canopies, is aligning its platform with the global shift toward autonomous mobility. The announcement follows Nvidia’s declaration that “everything that moves will eventually be autonomous” and its partnership with Uber to deploy 100,000 Level 4 robotaxis beginning in 2027 across Los Angeles, San Francisco, and ultimately 28 global cities.

These fleets, from robotaxis to autonomous delivery and logistics vehicles, will require compute infrastructure that scales with them, geographically and operationally. As AV deployments accelerate across major global cities, LT350’s distributed architecture is emerging as the optimal compute and data-exchange fabric for AV operations.

As AV fleets grow into the tens of thousands per city, the industry faces a fundamental infrastructure gap: autonomy requires compute that is everywhere the vehicles are, not locked inside distant hyperscale datacenters. LT350’s architecture is being built for exactly this moment.

A New Compute Fabric for a New Mobility Era

Autonomous vehicles are the first global robotics platform — mobile, data-hungry, and compute-dependent. Each vehicle generates massive sensor streams, requires continuous model refresh, and depends on low-latency inference to operate safely. Traditional centralized datacenters cannot meet these demands as they are too far away, too slow to deploy, and not aligned with the physical movement patterns of AV fleets.

LT350 flips the model. Instead of forcing AVs to reach back to the cloud, LT350 brings AI compute directly into the built environment of mobility, i.e., parking lots throughout any urban or rural environment.

Through partnerships with global convenience-store and fuel-station operators, LT350 has proposed replacing legacy canopies with its patented solar-integrated structures. Each canopy contains modular cartridges for GPU compute, high-bandwidth memory, battery storage, and optional EV charging. The result is a dense, city-wide mesh of micro-datacenters that AVs can access continuously throughout the day.

LT350’s canopy architecture uniquely enables AVs to charge and exchange data simultaneously — offloading sensor payloads, refreshing models, and freeing onboard storage during the same stop.

Three Breakthrough Advantages for AV Operators

1. Real-Time Inference at the Edge

AVs can tap compute resources within meters of where they idle, charge, or stage — enabling faster, safer autonomy than cloud-dependent architectures.

2. Instant Data Offload + Model Refresh

As vehicles charge, they simultaneously offload sensor data and receive updated models. This accelerates fleet learning cycles and frees onboard storage for real-time inference.

3. Distributed Compute Aligned With Fleet Density

LT350’s canopy network forms a city-wide compute fabric naturally colocated with AV fleet operations — supporting continuous uptime, rapid scaling, and predictable performance.

The Infrastructure Layer for Autonomous Everything

“Autonomous vehicles are the beginning of a world where mobility, logistics, and robotics all converge,” said Jeff Thramann, Founder of LT350. “If everything that moves will be autonomous, then everything that moves will need compute. LT350 is building the only infrastructure designed to meet that reality.”

LT350 is in discussions with multiple global convenience-store and gas-station chains to deploy canopy-based datacenters across their networks, which LT350 believes are the most strategically positioned real estate footprint for AV fleet support anywhere in the world.

“Autonomous fleets need infrastructure that matches their movement — global, distributed, and efficient,” Thramann added. “LT350 delivers compute, data offload, and charging in the exact locations AVs already operate.”

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. LT350 aims to build the most secure, lowest latency, cost effective, and rapidly deployed network of distributed AI data centers at the edge by leveraging the use of underutilized parking lot space while strengthening the existing power infrastructure of local utilities.

About Auddia Inc.

Auddia, through its proprietary AI platform for audio, is reinventing not only how consumers engage with AM/FM radio, podcasts, and other audio content but also how artists and labels promote their music and gain access to mainstream radio audiences. Auddia’s Discovr Radio is the first music-promotion platform to deliver artists guaranteed exposure to radio listeners. Auddia’s flagship audio superapp, called faidr, delivers multiple industry firsts, including:

  • Ad-free listening on any AM/FM music station
  • Content skipping across any AM/FM music station
  • One-touch skipping of entire podcast ad breaks
  • Integrated artist discovery experiences

For more information, visit www.auddia.com

Cautionary Note on Forward-Looking Statements

Certain statements in this communication, other than purely historical information, may constitute “forward-looking statements” within the meaning of the federal securities laws, including for purposes of the “safe harbor” provisions under the Private Securities Litigation Reform Act of 1995, concerning Auddia, Thramann Holdings, and the proposed merger between Auddia and Thramann Holdings (the “Proposed Transaction”) and other matters. These forward-looking statements include, but are not limited to, express or implied statements relating to Auddia’s and Thramann Holdings’ management expectations, hopes, beliefs, intentions or strategies regarding the future including, without limitation, statements regarding: the structure, timing and completion of the proposed merger by and between Auddia and Thramann Holdings, and the expected effects, perceived benefits or opportunities of the Proposed Transaction; the combined company’s listing on Nasdaq after the closing of the Proposed Transaction; expectations regarding the structure, timing and completion of the financing needed to close the Proposed Transaction, including investment amounts from investors, timing of closing of the Proposed Transaction, expected proceed, expectations regarding the use of proceeds, and impact on ownership structure; the anticipated timing of the closing; the expected executive officers and directors of the combined company; each company’s and the combined company’s expected cash position at the closing and cash runway of the combined company following the proposed merger and any additional financing; the future operations of the combined company, including research and development activities; the nature, strategy and focus of the combined company; the development and commercial potential and potential benefits of any products and services of the combined company; the cash balance of the combined entity at closing; expectations related to the anticipated timing of the closing of the Proposed Transaction (the “Closing”); the expectations regarding the ownership structure of the combined company; the expected trading of the combined company’s stock on Nasdaq under the ticker symbol “MCFN” after the Closing; and other statements that are not historical fact.

All statements other than statements of historical fact contained in this communication are forward-looking statements. In addition, any statements that refer to projections, forecasts or other characterizations of future events or circumstances, including any underlying assumptions, are forward-looking statements. The words “opportunity,” “potential,” “milestones,” “pipeline,” “can,” “goal,” “strategy,” “target,” “anticipate,” “achieve,” “believe,” “contemplate,” “continue,” “could,” “estimate,” “expect,” “intends,” “may,” “plan,” “possible,” “project,” “should,” “will,” “would” and similar expressions (including the negatives of these terms or variations of them) may identify forward-looking statements, but the absence of these words does not mean that a statement is not forward-looking. These forward-looking statements are made based on current expectations, estimates, forecasts, and projections, as well as the beliefs and assumptions of management, concerning future developments and their potential effects. There can be no assurance that future developments affecting Auddia, Thramann Holdings, or the Proposed Transaction will be those that have been anticipated.

These forward-looking statements involve a number of risks and uncertainties, some of which are beyond Auddia’s or Thramann Holdings’ control, or other assumptions that may cause actual results or performance to be materially different from those expressed or implied by these forward-looking statements. These risks and uncertainties include, but are not limited to, the risk that the conditions to the Closing or consummation of the Proposed Transaction are not satisfied, including the failure to timely obtain approval of the proposed merger from Auddia’s stockholders the risk that the required financing is not obtained in a timely manner, if at all; uncertainties as to the timing of the consummation of the Proposed Transaction; risks related to Auddia’s continued listing on Nasdaq until closing of the Proposed Transaction and the combined company’s ability to remain listed following the Closing; uncertainties regarding the impact any delay in the Closing would have on the anticipated cash resources of the combined company, and other events and unanticipated spending and costs that could reduce the combined company’s cash resources; the occurrence of any event, change or other circumstance or condition that could give rise to the termination of the merger agreement; the effect of the announcement or pendency of the merger on Auddia’s or Thramann Holdings’ business relationships, operating results and business generally; costs related to the merger; the risk that as a result of adjustments to the exchange ratio, Auddia’s or Thramann Holdings’ stockholders could own more or less of the combined company than is currently anticipated; risks related to the market price of Auddia’s common stock relative to the value suggested by the exchange ratio; risks related to the inability of the combined company to obtain sufficient additional capital to continue to advance the development of its products and services; costs of the Proposed Transaction and unexpected costs, charges or expenses resulting from the Proposed Transaction; potential adverse reactions or changes to business relationships, operating results, and business generally, resulting from the announcement or completion of the Proposed Transaction;

Actual results and the timing of events could differ materially from those anticipated in such forward-looking statements as a result of these risks and uncertainties. These and other risks and uncertainties are more fully described in periodic filings with the SEC, including the factors described in the section titled “Risk Factors” in Auddia’s Annual Report on Form 10-K for the year ended December 31, 2025, which was originally filed with the SEC on March 6, 2026, subsequent Quarterly Reports on Form 10-Q filed with the SEC, and in other filings that Auddia makes and will make with the SEC in connection with the Proposed Transaction, including the Form S-4 and Proxy Statement described below, as well as discussions of potential risks, uncertainties, and other important factors included in other filings by Auddia from time to time. Should one or more of these risks or uncertainties materialize, or should any of Auddia’s or Thramann Holdings’ assumptions prove incorrect, actual results may vary in material respects from those projected in these forward-looking statements. Nothing in this communication should be regarded as a representation by any person that the forward-looking statements set forth herein will be achieved or that any of the contemplated results of such forward-looking statements will be achieved. You should not place undue reliance on forward-looking statements in this communication, which speak only as of the date they are made and are qualified in their entirety by reference to the cautionary statements herein. Neither Auddia nor Thramann Holdings undertakes or accepts any duty to release publicly any updates or revisions to any forward-looking statements contained herein to reflect any change in its expectations with regard thereto or any change in events, conditions or circumstances on which any such statements are based, except as required by law. This communication does not purport to summarize all of the conditions, risks and other attributes of an investment in Auddia or Thramann Holdings.

No Offer or Solicitation

This communication and the information contained herein is not intended to and does not constitute (i) a solicitation of a proxy, consent or approval with respect to any securities or in respect of the proposed transaction or (ii) an offer to sell or the solicitation of an offer to subscribe for or buy or an invitation to purchase or subscribe for any securities pursuant to the proposed transaction or otherwise, nor shall there be any sale, issuance or transfer of securities in any jurisdiction in contravention of applicable law. No offering of securities shall be made except by means of a prospectus meeting the requirements of Section 10 of the Securities Act of 1933, as amended, and otherwise in accordance with applicable law, or an exemption therefrom. Subject to certain exceptions to be approved by the relevant regulators or certain facts to be ascertained, the public offer will not be made directly or indirectly, in or into any jurisdiction where to do so would constitute a violation of the laws of such jurisdiction, or by use of the mails or by any means or instrumentality (including without limitation, facsimile transmission, telephone and the internet) of interstate or foreign commerce, or any facility of a national securities exchange, of any such jurisdiction.

NEITHER THE SEC NOR ANY STATE SECURITIES COMMISSION HAS APPROVED OR DISAPPROVED OF THE SECURITIES OR DETERMINED IF THIS COMMUNICATION IS TRUTHFUL OR COMPLETE.

Important Additional Information about the Proposed Transaction Will be Filed with the SEC

This communication relates to the proposed merger involving Auddia and Thramann Holdings and may be deemed to be solicitation material in respect of the proposed merger. In connection with the proposed Transaction, Auddia intends to file relevant materials with the SEC, including a registration statement on Form S-4 (the “Form S-4”) that will contain a proxy statement (the “Proxy Statement”) and prospectus. This communication is not a substitute for the Form S-4, the Proxy Statement or for any other document that Auddia may file with the SEC and/or send to Auddia’s stockholders in connection with the proposed merger. AUDDIA URGES, BEFORE MAKING ANY VOTING DECISION, INVESTORS AND STOCKHOLDERS TO READ THE FORM S-4, THE PROXY STATEMENT AND ANY OTHER RELEVANT DOCUMENTS THAT MAY BE FILED WITH THE SEC, AS WELL AS ANY AMENDMENTS OR SUPPLEMENTS TO THESE DOCUMENTS, CAREFULLY AND IN THEIR ENTIRETY IF AND WHEN THEY BECOME AVAILABLE BECAUSE THEY WILL CONTAIN IMPORTANT INFORMATION ABOUT AUDDIA, THRAMANN HOLDINGS, THE PROPOSED TRANSACTION AND RELATED MATTERS.

Investors and stockholders will be able to obtain free copies of the Form S-4, the Proxy Statement and other documents filed by Auddia with the SEC (when they become available) through the website maintained by the SEC at www.sec.gov. Copies of the documents filed by Auddia with the SEC will also be available free of charge on Auddia’s website at www.auddia.com or by contacting Auddia’s Investor Relations at investors.auddiainc.com/contact. In addition, investors and stockholders should note that Auddia with investors and the public using its website at investors.auddiainc.com.

Participants in the Solicitation

Auddia, Thramann Holdings, and their respective directors and certain of their executive officers and other members of management may be deemed to be participants in the solicitation of proxies from Auddia’s stockholders in connection with the proposed transaction under the rules of the SEC. Information about Auddia’s directors and executive officers, including a description of their interests in Auddia, is included in Auddia’s most recent Annual Report on Form 10-K for the year ended December 31, 2025, which was filed with the SEC on March 6, 2026. Additional information regarding the persons who may be deemed participants in the proxy solicitations, including about the directors and executive officers of Thramann Holdings, and a description of their direct and indirect interests, by security holdings or otherwise, will also be included in the Form S-4, the Proxy Statement and other relevant materials to be filed with the SEC when they become available. These documents can be obtained free of charge from the sources indicated above.

Investor Relations:
Kirin Smith, President
PCG Advisory, Inc.
ksmith@pcgadvisory.com
www.pcgadvisory.com


FAQ

What is Auddia's LT350 initiative and how does it support AV fleets (AUUD)?

LT350 is a modular, solar-integrated canopy datacenter designed to provide local AI compute and charging for AV fleets. According to the company, LT350 houses GPU cartridges, high-bandwidth memory, battery storage, and optional EV chargers to enable edge inference and data offload.

How does LT350 enable real-time inference for autonomous vehicles (AUUD)?

LT350 brings compute within meters of where AVs idle, charge, or stage to reduce latency for inference. According to the company, this edge placement improves safety and responsiveness compared with distant hyperscale datacenters.

Can LT350 handle sensor data offload and model updates for AV fleets (AUUD)?

Yes. LT350 allows vehicles to offload sensor payloads while charging and receive refreshed models during the same stop. According to the company, this accelerates fleet learning cycles and frees onboard storage for real-time tasks.

What infrastructure components are included in an LT350 canopy deployment (AUUD)?

Each canopy contains modular cartridges for GPU compute, high-bandwidth memory, battery storage, and optional EV charging. According to the company, the design integrates solar and replaces legacy canopies at partner sites.

Where does Auddia plan to deploy LT350 canopy datacenters and with whom (AUUD)?

Auddia is discussing deployments with multiple global convenience-store and gas-station chains to leverage existing real estate footprints. According to the company, these locations are strategically positioned for AV fleet support across urban and rural areas.

What are the main risks to LT350 deployment and commercialization (AUUD)?

Primary risks include the need to convert partner sites and secure commercial agreements, and reliance on AV ecosystem adoption. According to the company, current activity is described as discussions rather than signed contracts.