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Auddia Highlights LT350 Business as Core AI Infrastructure Asset in Proposed Merger

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Auddia (NASDAQ: AUUD) highlighted LT350 as a core AI infrastructure asset in its proposed merger with Thramann Holdings, positioning LT350 as a distributed, canopy-integrated inference datacenter with 13 issued and 3 pending patents. Management says LT350 accounts for ~50% of McCarthy Finney’s $250 million DCF valuation and targets regulated, latency-sensitive customers using solar-plus-storage and ceiling-mounted GPU cartridges to deploy high-performance inference without consuming parking spaces.

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Positive

  • LT350 represents ~50% of a $250M DCF valuation
  • 13 issued and 3 pending patents protecting the canopy-integrated design
  • Solar-plus-storage enables behind-the-meter buffering and peak-shaving
  • Zero land cost deployment by using existing parking-lot canopies

Negative

  • Merger and combination with Thramann Holdings remain conditional on completion
  • Valuation concentration: LT350 constitutes ~50% of the combined DCF, creating dependency risk

Market Reaction – AUUD

-5.03% $0.87
15m delay 6 alerts
-5.03% Since News
$0.87 Last Price
$0.87 $0.97 Day Range
-$150K Valuation Impact
$3M Market Cap
4K Volume

Following this news, AUUD has declined 5.03%, reflecting a notable negative market reaction. Our momentum scanner has triggered 6 alerts so far, indicating moderate trading interest and price volatility. The stock is currently trading at $0.87. This price movement has removed approximately $150K from the company's valuation.

Data tracked by StockTitan Argus (15 min delayed). Upgrade to Silver for real-time data.

Key Figures

DCF valuation: $250 million Issued patents: 13 patents Pending patents: 3 patents
3 metrics
DCF valuation $250 million McCarthy Finney discounted cash flow valuation cited with LT350 contribution
Issued patents 13 patents Patents protecting LT350 AI infrastructure design
Pending patents 3 patents Pending patent applications related to LT350

Market Reality Check

Price: $0.9899 Vol: Volume 533,186 is far bel...
low vol
$0.9899 Last Close
Volume Volume 533,186 is far below 20-day average 6,190,765 (relative volume 0.09), suggesting limited pre-news positioning. low
Technical Trading below 200-day MA of 2.41 with price at 0.9899, reflecting a longer-term downtrend ahead of this AI asset update.

Peers on Argus

Argus scanner shows 2 peers moving down and 1 up; sector note cites peers with m...
1 Up 2 Down

Argus scanner shows 2 peers moving down and 1 up; sector note cites peers with median move of about -1.1%, indicating broader software/data weakness alongside AUUD’s mild -0.01% move.

Historical Context

5 past events · Latest: Feb 20 (Negative)
Pattern 5 events
Date Event Sentiment Move Catalyst
Feb 20 Warrants expiration Negative -6.3% Publicly traded AUUDW warrants expired and became void with no value.
Feb 18 Merger agreement Positive +36.6% Signed definitive merger with Thramann Holdings to form McCarthy Finney at <b>$250M</b> DCF.
Jan 20 Product launch & merger Positive +24.1% Launched Discovr Radio pilot (~300 customers) and reported progress on McCarthy Finney merger.
Nov 19 App strategy shift Positive +0.0% Made faidr app free and detailed B2B transition with Discovr Radio integration timeline.
Oct 16 Corporate overview update Positive +1.0% Unveiled restructuring concept into AI and web3-focused holding company McCarthy Finney.
Pattern Detected

Recent merger- and AI-related announcements have generally aligned with price moves, with strong gains on business combination updates and one flat reaction to a strategic app transition.

Recent Company History

Over the last several months, Auddia has steadily built toward the McCarthy Finney holding company structure, highlighted by a definitive merger agreement with Thramann Holdings that included a base case DCF valuation of $250 million. Earlier updates covered the Discovr Radio launch with roughly 300 pilot customers, a shift to a B2B AI-driven music discovery model, and the expiration of publicly traded warrants. Today’s LT350 overview fits into this same narrative of repositioning Auddia as an AI-centric infrastructure and applications platform within McCarthy Finney.

Market Pulse Summary

The stock is down -5.0% following this news. A negative reaction despite this strategic LT350 highli...
Analysis

The stock is down -5.0% following this news. A negative reaction despite this strategic LT350 highlight would fit a pattern where capital structure and risk disclosures weigh on sentiment, even around AI narratives. AUUD entered the announcement far below its 52-week high of 7.29 and under the 200-day MA of 2.41, with a very small market cap of $3,070,409. In that context, investors could remain focused on funding needs, integration of multiple new businesses into McCarthy Finney, and the challenge of commercializing LT350’s patented edge-inference infrastructure.

Key Terms

ai inference, gpu, datacenter, hipaa, +4 more
8 terms
ai inference technical
"delivering AI inference at the edge without absorbing parking spaces"
AI inference is the step where a trained artificial intelligence model uses its learned patterns to analyze new data and produce an output — for example, predicting a stock trend, flagging a medical image, or generating text, much like using a recipe to cook a meal. It matters to investors because inference determines real-world performance, speed, and cost of AI features, affects user experience and scalability, and influences operating expenses, regulatory compliance, and competitive advantage.
gpu technical
"modular GPU, memory, and battery cartridges directly into the ceiling"
A GPU (graphics processing unit) is a specialized computer chip designed to handle many calculations at once, originally for rendering images and video but now widely used for tasks like artificial intelligence, data analysis and high-performance computing. Investors watch GPU demand and prices because strong sales often signal growth for chip makers and their customers, affect profit margins and capital spending, and can forecast wider trends in gaming, AI adoption and cloud services.
datacenter technical
"network of small, interconnected datacenters across parking lots"
A datacenter is a secure facility that houses rows of computers, storage devices and networking equipment that store, process and move large volumes of digital information — like a bank vault and power plant combined for internet services. It matters to investors because datacenters are capital‑intensive infrastructure that generate recurring fees from cloud, software and finance customers, and their reliability, energy costs and location can directly affect a company’s revenue stability, profit margins and growth prospects.
hipaa regulatory
"Hospitals and health systems requiring HIPAA-aligned inference"
A U.S. law that sets rules for keeping individuals’ health information private and secure, and for how that information can be shared. Think of it as a mandatory lock-and-key system for medical records that hospitals, insurers, and tech vendors must use. Investors care because failing to follow these rules can lead to big fines, costly remediation, loss of business access to patient data, and reputational damage that can hurt a company’s finances and growth prospects.
data sovereignty regulatory
"Aligned with data sovereignty and compliance requirements for sensitive data"
Data sovereignty is the principle that digital information is subject to the laws and control of the country or entity where it is stored or processed. For investors, it matters because where data lives affects a company's legal obligations, costs, ability to sell services across borders, and exposure to government access or restrictions — like owning a house that must follow the rules of the town it sits in.
behind-the-meter technical
"enabling: Behind-the-meter power buffering"
Equipment or systems located on a customer’s side of the electricity meter—such as rooftop solar panels, battery storage, electric vehicle chargers, or energy controls—that generate, store, or manage power for use on-site rather than being supplied through the utility’s grid. Investors care because behind-the-meter assets change how much power a customer buys, can create new revenue or savings streams, affect demand patterns, and shift regulatory or business models in the energy market, much like a homeowner installing their own water tank reduces municipal supply needs.
peak-shaving technical
"enabling: Behind-the-meter power bufferingPeak-shavingCurtailment resilience"
A strategy that reduces or shifts the highest moments of electricity use to lower overall demand, often by using batteries, on-site generation, or timed operations. Investors care because peak-shaving lowers energy costs, cuts the need for expensive grid upgrades or charges, and can improve a company’s profit stability—think of it as smoothing out a stormy day of bills so forecasts become more predictable.
curtailment technical
"enabling: Behind-the-meter power bufferingPeak-shavingCurtailment resilience"
Curtailment is when a company or operation is forced to reduce or temporarily stop an expected activity—such as production, deliveries, services, or benefit payments—often because of limits like regulations, supply shortages, grid constraints, or cost controls. For investors it matters because curtailment usually lowers revenue, delays cash flow, and signals added operational or regulatory risk; think of it like turning down a faucet that was expected to supply steady cash, reducing the flow into the business.

AI-generated analysis. Not financial advice.

Proprietary technology turns any parking lot into a revenue generating datacenter delivering AI inference at the edge without absorbing parking spaces 

Supports the fastest, most secure, and lowest cost inference runs for the highest paying customers handling the most sensitive data

LT350 accounts for approximately 50% of McCarthy Finney’s $250 million DCF valuation

BOULDER, Colo., Feb. 25, 2026 (GLOBE NEWSWIRE) -- Auddia Inc. (NASDAQ: AUUD) (“Auddia” or the “Company”), today announced a comprehensive strategic overview of LT350, a distributed AI compute business engineered to address two of the most urgent constraints in the AI infrastructure market: GPU underutilization and grid-constrained datacenter deployment. 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 (“Thramann Holdings”) is completed.

LT350 represents a breakthrough in AI infrastructure design protected by 13 issued and 3 pending patents, creating a defensible, highly differentiated deployment platform for distributed AI infrastructure. Unlike large, centralized datacenters, LT350 aims to deploy a network of small, interconnected datacenters across parking lots without absorbing any parking lot space. Instead of utilizing containerized or ground mounted micro data centers, LT350 integrates modular GPU, memory, and battery cartridges directly into the ceiling of its proprietary solar parking-lot canopy, transforming the airspace above the parking lot into a revenue generating high performance AI compute datacenter optimized for inference.

“Hyperscalers built the training layer,” said Jeff Thramann, CEO of Auddia and founder of LT350. “LT350 is building the distributed inference layer — one that we believe will be faster to deploy, cheaper to operate, and dramatically more energy efficient, while generating premium revenue for premium inference compute services.”

The Company believes LT350 creates numerous advantages in the datacenter space.

A New Infrastructure Model for the Inference Era

AI workloads are shifting from centralized training to real-time, distributed inference, creating demand for compute that is:

  • Physically close to data sources
  • Less dependent on strained regional electrical grids
  • Faster to deploy
  • More cost predictable
  • Aligned with data sovereignty and compliance requirements for sensitive data

LT350’s canopy-integrated architecture enables high-performance compute to be deployed directly at the point of need — in the parking lots of hospitals, financial campuses, research parks, logistics hubs, and autonomous-vehicle depots — without displacing parking or requiring new land acquisition.

“I believe LT350 solves the three constraints that define the next decade of AI infrastructure: latency, power, and land,” said Thramann. “By integrating compute into the ceiling of a patented solar canopy, LT350 preserves all parking functionality while creating a new, revenue-producing layer of AI infrastructure above it. This is a structurally advantaged platform for the inference era for many reasons.”

Designed for High-Value, Regulated, and Latency Sensitive Workloads

LT350’s architecture is purpose-built for customers who require deterministic performance, physical data sovereignty, and proximity to operations. Target verticals include:

  • Hospitals and health systems requiring HIPAA-aligned inference
  • Financial institutions needing low-latency model execution
  • Defense and aerospace organizations with strict isolation requirements
  • Biotech and research campuses running sensitive workloads
  • Autonomous-vehicle fleets needing local data offload and model updates

By placing AI compute mere feet from these environments with secure, direct connections, LT350 delivers performance and assurance levels that management believes centralized cloud datacenters cannot match. Inference customers with the specialized compute requirements that match to what LT350 aims to deliver are typically the highest paying customers. LT350 is not competing with hyperscalers on price. Instead, LT350 complements hyperscalers by serving inference workloads that cannot be efficiently or compliantly handled in centralized cloud datacenters, thus competing in the space by providing the highest quality inference services for the highest sensitivity data.

Power-Sovereign Architecture for a Constrained Grid

LT350 supports the grid by integrating solar generation and battery storage directly into each canopy, enabling:

  • Behind-the-meter power buffering
  • Peak-shaving
  • Curtailment resilience
  • Reduced interconnection requirements
  • Predictable long-term power economics

This design aims to position LT350 to scale even as utilities, regulators, and hyperscalers face mounting grid constraints.

Parking-Lot Deployment: Faster, Cheaper, Zero Land Cost

LT350 deploys in existing parking lots, leveraging the elevated canopy ceiling to preserve all parking functionality. This creates three structural advantages:

  • Zero land acquisition costs and readily available sites adjacent to the best customers
  • No loss of parking as a non-revenue generating asset converts to revenue generation
  • Faster deployment as zoning, permitting, and environmental hurdles are minimized

We believe the result is deployment in months, not years, with materially lower capex.

A New Economic Model for Inference Infrastructure

By combining modular GPU deployment, solar-plus-storage energy systems, and parking-lot-based datacenters, the Company believes LT350 delivers a fundamentally different cost and performance profile for AI compute:

  • Higher utilization by matching GPU cartridge deployment to inference need
  • Higher revenue from delivering higher quality inference services
  • Lower energy costs from solar generation and off peak battery charging
  • Reduced grid impact from solar and batteries
  • Faster deployment due to parking lot availability and no infrastructure upgrades
  • Improved resilience inherent in a distributed AI network

For information about LT350, please visit www.LT350.com.

About LT350, LLC

LT350 is a distributed AI data center company with 13 issued and 3 pending patents on 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, 2024, which was originally filed with the SEC on March 5, 2025, 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, 2024, which was filed with the SEC on March 5, 2025. 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 did Auddia (AUUD) announce about LT350 on February 25, 2026?

Auddia positioned LT350 as a core asset in its proposed merger, highlighting canopy-integrated inference datacenters. According to the company, LT350 uses ceiling-mounted GPU cartridges, solar-plus-storage, and 16 patents to serve latency-sensitive, regulated workloads near customers.

How much of McCarthy Finney’s valuation does LT350 represent according to Auddia (AUUD)?

LT350 accounts for approximately 50% of a $250 million DCF valuation. According to the company, that figure reflects management’s internal valuation of LT350 within the proposed combined holding company.

What technical protections and IP cover LT350 as described by Auddia (AUUD)?

LT350 is claimed to be protected by 13 issued and 3 pending patents on its canopy-integrated architecture. According to the company, the patents cover modular GPU, memory, and battery cartridge integration into solar parking canopies.

Which customers and use cases is LT350 intended to serve for Auddia (AUUD)?

LT350 targets hospitals, financial institutions, defense, biotech campuses, and autonomous-vehicle fleets needing low-latency, sovereign inference. According to the company, placement in parking lots provides proximity and secure direct connections for sensitive workloads.

How does LT350’s power architecture aim to address grid constraints per Auddia (AUUD)?

LT350 integrates solar generation and battery storage to enable behind-the-meter buffering and peak-shaving. According to the company, this reduces interconnection needs, improves curtailment resilience, and aims to lower long-term power costs.

What are the deployment advantages Auddia (AUUD) claims for LT350 in parking lots?

The company says LT350 deploys in existing parking lots with no land acquisition or parking loss, enabling faster, lower-capex rollouts. According to the company, this supports deployment measured in months rather than years.
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