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$80 million in trailing 12-month revenue with principal offices in Little Rock, AR and San Jose, CA with a compounded quarterly growth rate of 6.6% over the last 5-years versus a median of 2.4% for microcap companies between $50 & $100M in Revenue.

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Inuvo approaches the cash generation tipping point required to overcome the expenses associated with the development, maintenance, delivery, support and sales of its AI products which is estimated to be roughly $25M in quarterly revenue.

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The Inuvo team has been involved in a number of billion-dollar successes, most recently Acxiom Corporation (NYSE: ACXM), the company that invented current behavioral targeting methods based on persistently identifying and targeting consumers for advertising.

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Charles Morgan, Acxiom founder, is Inuvo’s lead independent director and shareholder. Inuvo’s Chairman and CEO, Rich Howe was Chief Strategy Officer at Acxiom.

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Clients include a top 3 (in the world) Technology, Auto and Retail company.

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Target clients include Agencies, Brands and Platforms who require AdTech media & data products and/or services. Inuvo offers a managed service and a self-service product.

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Inuvo has 19 issued and 6 pending technology patents. Inuvo believes it is the only company in the world to commercialize large language generative artificial intelligence to identify, target and measure audiences for advertising.

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IntentKey is the brand name for Inuvo’s AI and was created because Inuvo predicted that both legislative and technological changes would make the methods that have been used to identify and target audiences online obsolete as a result of consumer privacy.

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Current advertising technologies identify who a consumer is, then use their personal data to make a targeting decisions based on who they are.

500 President Clinton Ave. Suite 300   l   Little Rock, AR  72201   l   (501) 205-8508            

inuvo.com

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The technology that underpins Inuvo’s AI was first developed in a UCLA machine learning lab. Inuvo purchased the patents and commercialized the technology for the advertising use case.

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Inuvo’s proprietary AI is similar to the technology of OpenAI and Google Gemini in that it is a model of the human language, with the caveat that this model is proprietary to Inuvo. Inuvo’s AI was not built on top of anyone else’s technology. Inuvo’s use case is much narrower than these larger players who built their AI to replace Search.

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To build and maintain this model, Inuvo has consumed the collective wisdom of humanity as represented by the 100’s of billions of pages of content on the internet.

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Online advertising is set up much like stock trading, where there is a buyer (advertiser) and a seller (the website). Inuvo has integrated its AI into that bidding environment and consequently processes and evaluates roughly 150 billion transactions daily.

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The cornerstone of the Inuvo AI is built around a model of the brain that posits the brain to be a giant library where the interconnected neurons are the books in that library.

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The brain has a mechanism wherein it can determine and adjust the probabilities between all the books. Inuvo has built a digital model of this structure with Concepts as Neurons – A concept can be a person, a place, a product, a company, words and ideas. Concepts define the world around us and are the building block behind cognition.

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What this construct has allowed Inuvo to do is determine for any product, brand or company, the reasons why consumer are interested in those things.

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For example, the Inuvo AI’s brain knows there is a connection between the Wall Street Journal (WSJ) and Theranos, because it was the WSJ that broke this fraud story. The AI also knows that Theranos is connected to Elizabeth Holmes, Suni Balwani, George Shultz, Tyler Shultz, the Devos Family, and everything else associated with this story. These conceptual connections allow the AI to determine that the reason a consumer might be interested in a WSJ subscription is because they are interested in Theranos.

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This ability to change the audience targeting paradigm to why consumers are interested as opposed to who is interested will be described in the Market Opportunity section.

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The commodity being exchanged within online advertising is an individual’s personal data. i.e., The who. For the last 3 decades, individual consumer activity around the internet has been tracked and stored in databases where it is augmented with other data about that consumer. i.e., age, income, race, presence of children, interests and other demographics.

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Consequently, all the systems, technologies, platforms and consumer data providers have built technologies designed around targeting and reporting about audiences based on the identities of consumers. e.g., “I want to buy and target a list of plumbers who make $50K per year”

500 President Clinton Ave. Suite 300   l   Little Rock, AR  72201   l   (501) 205-8508            

inuvo.com

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Legislative changes in Europe (GDPR) and America (CCPA and 13 other states) are preventing the use of a consumer’s identity and data.

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Technological changes by Apple with their Safari browser are preventing the use of consumers identity and data. Apple has 55% of the mobile browser share in the USA. Google, with their Chrome browser is on the verge of following Apple’s approach.

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These legislative and technological changes are preventing the sharing of consumer data and therefore disabling the ability to identify these “plumbers”.

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100’s of companies and a roughly $200 billion programmatic advertising market are being impacted by these changes, where performance of advertising, as measured by the Return on Advertising Spend (ROAS) continues to decline because these identity mechanisms are themselves declining in numbers.

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The way this identity mechanism is generally known in the market is the “cookie”. Adverting transactions are in essence the purchase of cookie IDs (a list of actual plumbers). As cookie IDs decline in numbers and demand for cookies continues, the price to buy an advertising transaction will go up and bring ROAS down in accordance with demand / supply economics.

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Inuvo’s AI requires none of these identity and consumer data methods and performs better than the best of the existing methods. Inuvo has run hundreds of client campaigns and never lost in apples-to-apples head-to-head tests.

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Inuvo believes it is years ahead of any other player trying to solve this identity paradigm change, and the ones that are in the race are generally using outdated technologies designed back in the 90’s.

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The way Inuvo facilitates a media purchase decision is based on Inuvo’s AI knowing all the reasons why consumers are interested in any product, service or Brand, and then matching that against that same AI’s knowledge about why someone is in front of any screen. When the reasons why match, Inuvo places the advertisement for its client.

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Managed services are negotiated and priced on a cost-per-thousand (CPM) advertisements placed for the Inuvo client. Inuvo’s margins are built into the CPM.

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Self-service clients access our AI through their campaign system of choice where they allocate as much or as little budget as the desire. Inuvo margin is automatically applied to the bill they receive from their campaign vendor.

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Platform clients pay Inuvo on a revenue-per-click basis for every click we deliver to their clients.

500 President Clinton Ave. Suite 300   l   Little Rock, AR  72201   l   (501) 205-8508            

inuvo.com

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Verve Group SE (VER.ST) Valued at approximately $750M on $360M of Revenue.

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AdTheorent (ADTH) acquired in 2024 for $324M, roughly 2 times 2023 Revenue.

Inuvo Company Contact:

Wally Ruiz

Chief Financial Officer

Tel (501) 205-8397

[email protected]

Investor Relations:

David Waldman / Natalya Rudman

Crescendo Communications, LLC

Tel: (212) 671-1020

[email protected]

500 President Clinton Ave. Suite 300   l   Little Rock, AR  72201   l   (501) 205-8508

inuvo.com