NOTE 1 – BUSINESS ORGANIZATION, NATURE OF OPERATIONS, RISKS AND UNCERTAINTIES

Organization and Operations

Kubient, Inc. (“Kubient”, “we”, “our” or the “Company”), a Delaware corporation, was incorporated in May 2017 to solve some of the most significant problems facing the global digital advertising industry.

The Company’s experienced team of marketing and technology veterans has developed the Audience Marketplace, a modular, highly scalable, transparent, cloud-based software platform for real-time trading of digital, programmatic advertising. The Company’s platform’s open marketplace gives both advertisers (ad space buyers) and Publishers (ad space sellers) the ability to use machine learning in the most critical parts of any programmatic advertising inventory auction, while simultaneously and significantly reducing those advertisers and Publishers’ exposure to fraud, specifically in the pre-bid environment.

The Company also provides unique capabilities with its proprietary pre-bid ad fraud detection and prevention, Kubient Artificial Intelligence (“KAI”), which has the ability to stop fraud in the critical 300 millisecond window before an advertiser spends their budget on fraudulent ad space. The technology is powered by deep learning algorithms, the latest advancement in machine learning, which allows the Company to ingest vast amounts of data, find complex patterns in the data and make accurate predictions. This provides advertisers a powerful tool capable of preventing the purchase of ad fraud.

The Company believes that its Audience Marketplace technology allows advertisers to reach entire audiences rather than buying single impressions from disparate sources. By becoming a one stop shop for advertisers and publishers, providing them with the technology to deliver meaningful messages to their target audience, all in one place, on a single platform that is computationally efficient, transparent, and as safely fraud-free as possible, the Company believes that its Audience Marketplace platform (and the application of the platform’s machine learning algorithms) leads to increased publisher revenue, lower advertiser cost, reduced latency and increased economic transparency during the advertising auction process.

Risks and Uncertainties

The worldwide spread of the novel coronavirus (“COVID-19”), including the emergence of variants and subvariants, as well as rising interest rates, inflation, changes in foreign currency exchange rates and geopolitical developments (including the war in Ukraine) have resulted, and may continue to result, in a global slowdown of economic activity, which may decrease demand for a broad variety of goods and services, including those provided by the Company’s clients, while also disrupting supply channels, sales channels and advertising and marketing activities for an unknown period of time until economic activity normalizes. As a result of the current uncertainty in economic activity, the Company is unable to predict the size and duration of the impact on its revenue and its results of operations. The extent of the impact of these macroeconomic factors on the Company’s operational and financial performance will depend on a variety of factors, including the duration and spread of COVID-19 and its variants and the duration and the extent of geopolitical disruption and their respective impacts on the Company’s clients, partners, industry, and employees, all of which are uncertain at this time and cannot be accurately predicted.  For example, many of the Company’s employees adopted a hybrid work schedule consisting of both in-person work and working from home. Additionally, the Company began to decrease the use of its physical offices paces in order to conserve its capital for other post-COVID business development initiatives.  The Company continues to monitor the effects of the COVID-19 pandemic and take steps deemed appropriate to limit the impact on its business.

Similarly, the economic uncertainty caused by the COVID-19 pandemic has made and may continue to make it difficult for the Company to forecast revenue and operating results and to make decisions regarding operational cost structures and investments. The Company has committed, and the Company plans to continue to commit, resources to grow its business, employee base, and technology development, and such investments may not yield anticipated returns, particularly if worldwide business activity continues to be impacted by the COVID-19 pandemic. The duration and extent of the impact from the COVID-19 pandemic depend on future developments that cannot be accurately predicted at this time, and if the Company is not able to respond to and manage the impact of such events effectively, its business may be harmed.

There can be no assurance that precautionary measures, whether adopted by the Company or imposed by others, will be effective, and such measures could negatively affect its sales, marketing, and client service efforts, delay and lengthen its sales cycles, decrease its employees’, clients’, or partners’ productivity, or create operational or other challenges, any of which could harm its business and results of operations.

See Note 2 – Significant Accounting Policies – Cash and Cash Equivalents for additional details regarding Silicon Valley Bank (“SVB”).