Brand Engagement Network Inc

Summary

General

We were originally incorporated in 2020 as a Cayman Islands corporation, formed for the purpose of effecting a merger, share exchange, asset acquisition, share purchase, reorganization or similar business combination with one or more businesses. On March 4, 2021 (the “IPO Closing Date”), we consummated our initial public offering (the “IPO”). On March 13, 2024, we migrated to and domesticated as a Delaware corporation in accordance with Section 388 of the Delaware General Corporation Law, as amended, and the Companies Act (As Revised) of the Cayman Islands (the “Domestication”). On March 14, 2024, we consummated a business combination with Brand Engagement Network Inc., a Wyoming corporation, which merged into our subsidiary, BEN Merger Subsidiary Corp., a Delaware corporation (“Merger Sub” and such business combination, the “Business Combination”) and changed our name to Brand Engagement Network Inc. In light of the fact that the Business Combination has closed and our ongoing business will be the business formerly operated by Legacy BEN, this business section primarily includes information regarding Legacy BEN’s business.

We are an emerging provider of conversational AI assistants, with the purpose of transforming engagement and analytics for businesses through our security-focused, multimodal communication and human-like assistants. Our AI assistants are built on proprietary natural language processing, anomaly detection, multisensory awareness, sentiment and environmental analysis, as well as real-time individuation and personalization capabilities. We believe these powerful tools will empower businesses to elevate customer experiences, optimize cost management and supercharge operational efficiency. Our platform is designed to configure, train and operate AI assistants that engage with professionals and consumers through multiple channels, boosting customer experience and providing instant personalized assistance for consumers in the automotive and healthcare markets.

Legacy BEN was originally formed in 2018 with the intention of disrupting the traditional mailing system through a uniquely secure, personalized electronic communication network. Although we still seek the same core goal of giving consumers more control over their data, we have refocused our product development on communications between customers and businesses with the new vision of enabling more meaningful interactions and experiences and discontinued our previous operations, including our mobile advertising platform, which we do not intend to pursue as part of our product offerings at this time. In 2023, we consummated our acquisition of DM Lab Co., LTD., through which we acquired our first AI assistant prototype. Today we are piloting a scalable and configurable platform that creates, deploys and manages human-like AI assistants, where each assistant is tailored for a specific intended purpose and trained on approved data provided by our customers.

Our AI assistants aim to unify consumer personalization and business customization necessary to facilitate meaningful engagements. We intend for our offerings to be designed to broadly operate in cloud, localized and hybrid environments, with the goal of providing seamless integration. We believe businesses will be able to deploy our multimodal AI assistants within native apps, kiosks and software development kit (“SDK”) integrations.

As apre-revenue business, revenue generated in 2023 and 2024 was minimal, and we generated minimal revenues in 2022, which were attributable to beta testing of discontinued products, including our mobile advertising platform. However, in November of 2023, we obtained our first customer in the healthcare industry through our entry-level community cloud AI assistant offering.

Our Technology

We offer a customizable human-like AI assistant that can enhance customer engagement while delivering a secure, consistent and effective message for vertically-focused end markets including automotive and healthcare. We aim to connect to clients’ real time data systems for access to customer specific files, accounts and records to provide meaningful personalized information to our clients’ customers from an approved data set, while maintaining compliance with applicable privacy and data protection laws and regulations. Additionally, we offer tools to help our clients’ customers manage their personal data and conversations.

Our conversational AI assistants seek to emulate a discussion between the customers of our clients and our AI assistants as a way of enhancing the user experience by creating a more meaningful interaction from which the customers of our clients can retain more information. Studies have shown that humans retain only 10% of what they read, 30% of what they see and 50% of what they see and hear. However, humans retain 70% of what they discuss. Our platforms are designed to quickly train and deploy the AI instances into customer defined environments on multiple device types and engagement modes on the Web (desktop, mobile and app), the phone (voice and text) and installed to meet consumers in the physical world through kiosks. By “meeting the consumers where they are” and allowing interactions to occur on their preferred devices, our applications can be more easily and broadly adopted by the market. In addition, by providing customers a human-like interface and a secure environment through multi-model communication, we believe we are able to deliver scaled solutions for industries impacted by labor and cost burdens and whom have a desire to increase engagement with their customers.

AI Assistants. We have assembled our technology components to create an integrated AI assistant that enables us to provide a seamless consumer-facing experience for our clients complete with our proprietary configurable safety and security features. Our AI assistants are customizable avatars that integrate themselves into our clients’ environment, training on their internal data to provide a broad array of customer service and education solutions for our clients’ interactions with their current and potential customers. Our AI assistants are designed to work with several existing large language models (“LLMs”), including Anthropic LLM and Llama 2 LLM to configure and personalize our AI assistants’ responses to consumer inquiries to create client-specific solutions. We believe in the benefits of small footprint LLMs that work in tandem with other data retrieval and data processing techniques that seek to ensure a safe environment as well as minimize the required computations needed to achieve a human-like experience. Our AI assistants can change their dialogue, conversation design, personality and appearances based on the specific needs of our customers and the consumer environments in which they operate. Our AI assistants can be offered to our clients’ customers through mobile apps, desktops or laptops, as well as throughin-store lifesize kiosks and SDK integrations and are designed to be deployed in a fully ringfenced environment.

Differentiation Through Configurable Safety and Security. We believe the primary differentiation of our AI assistants is the ability to ensure unbiased training by eliminating “hallucinations”, filtering for inappropriate inputs and responses, managing customer identity resolution. Additionally, BEN expects to implement data anonymization techniques to safeguard against proprietary data leakage to 3rd party LLMs. Our platform has been designed with a “middle layer” that performs these configurable safety functions without inducing delay in the overall experience. If desired, the responses will only come from a select dataset that has been ingested while still providing a natural conversation to the user with appropriate natural language responses. In addition, all conversations or sessions can be transcribed and further analyzed to audit the system and the dialogues for continuous monitoring of the configurable safety and security protocols of our platforms.

Customization, Configuration, and Optimization. Our AI assistants can enable substantial variations in customer experiences. Automatic speech recognition (“ASR”), text-to-speech (“TTS”), avatar and natural language processing (“NLP”) can be tweaked for tone, cadence, personality, emotions and other auditory features. The voices used in our AI assistants can be matched with broad variations of avatars with customized ethnicity, skin tone, facial features, and other physical attributes. AI assistants can be dressed in broad variations of outfits appropriate for the application, such as a nurse’s scrubs, auto repair uniform, formal business attire, casual-friendly attire, and other profession-appropriate attire. NLP can be configured to provide various levels of responses appropriate for the audience, including comprehensive, detailed, and technical responses to assist a doctor or a nurse or concise responses using commonly spoken vocabulary to assist a consumer.

Deployment. Traditional AI systems could take years to deploy and train, however, we believe our AI assistants can be launched within a few days after engagement. Our modular architecture enables source data to be ingested for training and response generation in a few hours through a standardized data interface. Once a dataset has been ingested by the application, dialogue management can begin with several tactics and methods to reduce the learning period of the AI assistant. Our unique approach of using statistical methods combined with more intuitive methods can accelerate the training of our AI assistants significantly. The deployment of the AI assistant “meets our customers where they are” by having a combination of cloud-based, server-based and local-device-based functionality. Deployments of our AI assistants can be completely optimized to take advantage of the dataset, solution environment, device hardware and operating systems and existing IT infrastructure. Furthermore, our AI assistants are designed to be quickly deployed into customer defined environments on multiple device types and engagement modes on the web (desktop, mobile and app), the phone (voice and text) and installed to meet consumers in the physical world through kiosks.

Use Cases. We have recently debuted the following piloted use cases for our AI assistants:

Automotive Assistants will include:

Healthcare Assistants will include:

In the future, we expect to increase the number of use cases for our AI assistants in the automotive and healthcare markets, as well in new markets to which we intend to expand, such as financial services.

The AI Industry

We operate within the generative AI industry — a swiftly evolving sector nestled the broader AI, machine learning, deep learning, and natural language processing landscape. Our AI assistants allow us to target a total addressable market that we believe exceeds $10 billion and is poised to grow to $30 billion by 2030, as substantiated by third-party industry reports and comprehensive studies related to our target sectors.

The proliferation of generative AI is being driven by the pursuit of cost reduction, value enhancement, differentiated customer engagements and operational efficiency benefits that we believe are not available to organizations through legacy solutions. There are a number of trends that are impacting the rate of adoption and facilitating changes to the ways organizations manage their technology infrastructure. These key trends include:

Growing Acceptance of AI. According to a study conducted by global management consulting firm McKinsey & Company (“McKinsey”), 47% of advanced industries have used AI capabilities in their operations, andon-third of all respondents said that their organizations are already regularly using generative AI in at least one function. Furthermore, 60% of organizations with reported AI adoption are using generative AI. Focusing on the conversational AI subset of generative AI, 94% of large companies anticipate integrating voice AI within the next two years. Additionally, demographic studies reveal that 65% of generative AI users are either “Millennials” or “Gen Z,” signifying the growing maturity of the market and an increasing acceptance of this technology as an effective tool to achieve objectives.

Multimodal World. Beyond text, the internet has become a vast repository of multimedia information in the form of images and videos. It is now second nature for us to freely capture and use images and videos as part of our queries, in addition to traditional text and voice interactions. McKinsey suggests that the current investment landscape in generative AI is heavily focused on text-based applications such as chatbots, virtual assistants, and language translation. It is projected that at leastone-fifth of generative AI usage will derive from multimodal interfaces. A recent survey investigating customer engagement revealed that four out of five individuals preferred a multimodal experience over a text-based interaction.

Timely, Personalized Experiences. We believe consumer satisfaction in business interactions hinges on the timely fulfillment of consumer needs, the consistency of these interactions and a preference for highly-personalized experiences. This is becoming increasingly important to younger demographics, as industry reports suggest thattwo-thirds of millennials expect real-time customer service and three-quarters of all consumers expect a consistent cross-channel service experience. Additional demographic research by Accenture suggests that 91% of consumers are more likely to shop with brands that offer personalized experiences, yet, according to Gartner, 63% of digital marketing leaders struggle to offer these personalized experiences.

Data-Driven Transformations. We believe data is a critical driver of an organization’s digital transformation and critical in the industries in which we operate. It is at the forefront of reshaping how organizations operate, innovate, and deliver value in the digital age. The mass proliferation of data has placed increasing demands on data accuracy, reliability, and integrity. McKinsey reports that data-driven organizations are 23 times more likely to acquire customers, six times more likely to retain customers, and 19 times more likely to be profitable. In addition, BARC research shows that organizations using big data saw an eight percent increase in profit and a ten percent reduction in cost.

Integration of Emerging Technologies. Digital transformation efforts are increasingly focusing on the seamless integration of emerging technologies beyond generative AI. These include technologies like blockchain, cloud management and computing, and the internet of things (“IoT”). The strategic integration of these emerging technologies into existing infrastructure and processes is a critical aspect of future-proofing organizations and ensuring they stay at the forefront of technological advancements. As these emerging technologies gain broader acceptance and are further integrated into the world’s digital infrastructure, we expect the adoption of AI to be empowered and accelerated. Significant growth is projected in these technologies according to various industry studies: Statista forecasts that there will be over 29 billion IoT-connected devices globally by 2030, while Gartner estimates that by 2025, more than 95% of new digital workloads will be deployed on cloud-native platforms, a significant increase from the 30% observed in 2021. These statistics underscore the accelerating pace of technological adoption and the critical role of integration in driving successful digital transformations, which we believe will further the adoption of AI.

Ethical and Regulatory Change. The growing pervasiveness of AI technologies, including generative AI and data collection efforts, have spurred greater ethical and regulatory consideration over the potential privacy, bias and fairness implications inherent to the deployment of such technologies. Governments and regulatory bodies are introducing frameworks and guidelines to ensure responsible AI deployment and data privacy and protection. Addressing these ethical and compliance aspects is crucial for organizations to build trust with their customers, partners, and stakeholders, and to avoid or mitigate potential risks associated with noncompliance whether intentional or unintentional.

Our Core Strengths

Versatile Applications and Customizable Designs that are Industry-Agnostic. We believe our AI assistants will be deployable across multiple differing industry verticals, regardless of whether a business leverages public or private cloud services, localized or hybrid environments. Whether in the automotive, healthcare or other industries or other developing markets, our AI assistants have been designed to deploy and integrate with our customers’ businesses regardless of industry or internal infrastructure. We believe our broad scope of application allows us to be nimble and respond to developing trends with ourend-users and other potential customers, without having substantial delays and costs when entering emerging markets.

Customizable solutions delivering personalized experiences. We believe every engagement with a customer is unique and personalized. Although our AI assistants are designed to allow for consistent and brand-cohesive communication, our short-term and long-term memory design and proprietary secured-identity protocol can enable individualized experiences based on an understanding of the individual that changes with time. Our secure, private, prompt design can contextualize our human-like response generation with client-approved and validated data sets. In this way, each human-like AI assistant is designed to be unique to and aligned with the brand of our clients.

Adaptive analytics and machine learning driving speed to deployment. We believe the ability of our AI assistants to be trained to the data of our clients in short periods of time in an automated fashion will be a significant driver of our ability to deploy our platform quickly and efficiently. We believe BEN is capable of navigating substantial data demands through ourpre-processing, remote streaming and sequential linking foundations. Fueled by cutting-edge analytics and machine learning, we believe our AI assistants are capable of processing vast volumes of data within the business environment of our customers. Leveraging our advanced analytics capabilities, we designed our AI assistants to provide actionable insights to businesses in real-time.

Experienced and passionate management team with a deep understanding of AI. Our seasoned management team has a proven track record of spearheading innovation in hardware, software and business processes across various sectors. We believe that our collective passion for AI, combined with our diverse expertise, positions us to succeed in an industry that is driving what we believe is a monumental generational shift in the delivery of new AI products.

Our Growth Strategies

New Customer Acquisition Leveraging Direct and Channel Sales Strategy. We aim to broaden our customer base by leveraging both our direct sales force and channel partners. Long-term definitive agreements with industry leaders like AFG Companies, Inc. (“AFG”) not only extend our reach but also streamline access to new customers through deep relationships with original equipment manufacturers and automotive dealers. We plan to seek additional partnerships with channel sales providers across our current verticals to organically grow revenues and expand familiarity with our products and brand.

“Land & Expand”. We see significant growth potential and margin expansion opportunities in the automotive, healthcare, and financial services sectors in the medium- to long-term. Our strategic approach involves initially establishing customer relationships through our AI assistants and, over time, expand these relationships to introduce additional offerings that meet our customers’ evolving needs.

Product and Verticals Expansion. We are developing a strong pipeline of innovative future developments that we believe will not only augment our AI assistants but also enrich business applications, products, and platforms that adopt our embedded solutions. We believe maintaining a strong pipeline will facilitate new offerings that we can deliver to our business customers. As we penetrate our current vertical markets and diversify our product portfolio, we also intend to explore adjacent verticals to drive revenue expansion.

Additional Collaborations With Leading Universities. Collaborations with universities such as our research agreement with Korea University expand upon our efforts to improve our existing technologies, produce new offerings, and we believe such efforts will accelerate our entry into new customer verticals by partnering with leading AI development and research professionals across the globe. These collaborations catalyze the advancement of our technology and provide invaluable access to high caliber talent, varied perspective, and the exploration of uncharted technological territory in a manner that we believe differentiates us from our competition.

Current Target Verticals

Below are summaries of keyend-markets that we believe illustrate both immediate and long-term potential for our product offerings:

Healthcare

We believe our platform can offer a solution for human-error and burnout across healthcare offerings by taking on a customer-facing role that removes the burden of certain administrative tasks from physicians and other healthcare professionals. The healthcare vertical is comprised of more than 145,000 organizations. Segments within this domain include outpatient care facilities (48,000+), urgent care facilities (11,000+), physician group locations (18,000+), hospitals (6,000+) and dentist offices (65,000+). Organizations within healthcare segments and business functions within those organizations typically operate in silos, which leads to disparate systems that undermines data interoperability. Patient forms, visitation notes and employee shift notes are examples of administrative duties undertaken by healthcare staff that are demanding and often manual in nature. Manual inputs are prone to human error, which compounds across fragmented and exhausted systems. According to Deloitte, 25% of all U.S. health care expenditure is wasted on administrative complexity, pricing failures and poor care delivery. Burnout and global deficits in skilled medical labor represent significant risks to care facilities and medical centers. Deloitte reported that 42% of physicians experienced burnout and the deficit of global skilled professionals will grow to 12.1 million by 2035. We intend to target key customers in the healthcare industry andsub-industries, such as hospitals/care providers, health insurance companies, pharmaceutical manufacturers/retailers, clinician assistance and education, medication adherence, health and wellness and certain third-party administrators who support those organizations with various products and services.

Automotive

Although there is less fragmentation in the new car dealership and insurance provider segments, these segments are also subject to changing consumer preferences towards digitally enabled touchpoints and industry-wide rising cost pressures, which we believe offers a natural entry point for our platform. As of the date of this proxy statement/prospectus, there are more than 450,000 organizations operating in the automotive industry globally. This figure encompasses 280,000+ service centers, 151,000+ used car dealerships, 18,000+ new car dealerships and 500+ insurance providers. The used car dealership and service center segments are fragmented. This fragmentation has propagated data disparity across segment participants and led to slow adoption of emerging technologies and analytics capabilities. In turn, this has facilitated a gap between the changing preferences towards digitization, and legacy offerings. This was evidenced in a study by McKinsey, which revealed that 95% ofused-car searches were instigated online. In a separate study, McKinsey noted that more than 80% of respondents use online sources during the purchase-consideration period of new vehicle sales.

Financial Services

We believe BEN can fill much of the onboarding deficiencies faced by providers across the financial services sector by delivering a friendly, trustworthy and neutral interface that can provide comfort to customers facing delicate financial decisions. Over 227,000 organizations operate in the financial services industry. Although not exhaustive of segments operating in this vertical, this figure consists of 12,000+ FDIC and Non-FDIC insured banks, 195,000+ credit intermediaries, 16000+ asset & wealth management and 4,500+ insurance providers. Trust is a central tenant of financial services organizations in which reliability and security are essential to the delivery of value to clients. This is backed by extensive regulation, which establishes risk on industry participants to ensure compliance. The scope and complexity of traded products is exerting pressure on the reconciliation processes undertaken by asset and wealth management organizations. These processes often depend on manually integrated information from disparate sources. Insurance providers may struggle to scale efforts to digitize customer onboarding, policy binding and claims assessment. In a study by Deloitte, 54% of insurance companies investigated had not completed an upgrade to their legacy policy administration systems.

Illustrative Offering Tiers

We plan to offer our products in three tiers, varying based on the level of integration, number of customers services, concurrency of customer engagement and customization of the solutions we provided, as well as the needs of our end users. Below is an illustration of potential offering tiers:

Note: Custom system design and level of data complexity and security are subject to additional charges and fees. ARR is estimated based on utility and concurrency, overage fees apply. ARR is calculated by multiplying the estimated monthly recurring revenue figure by 12.

Additional Planned Expansions and Partnership with Korea University

As a part of the approximately $30 billion of demand in our TAM that is expected by industry observers by 2028, we believe there will be substantial opportunities to expand our differentiated offerings further into retail, hospitality, enterprise, contact centers and the internet of things. We expect that our partnership with Korea University will result in the building blocks for additional offerings tailored to these additional verticals. Currently, we are party to a research agreement with Korea University that includes a team of seven doctoral candidates and five master’s students working on advanced AI models, as well as a multi-year collaboration agreement to further the development of our product offerings. We intend to continue expanding our partnership with Korea University, and we are considering expanding this type of partnerships with other universities and U.S. institutions to remain competitive with talent acquisition and product research and development.

Sales and Customers

We employ a direct sales force and also utilize channel partners to organically grow our customer base. In September 2023, we executed a Reseller Agreement with AFG pursuant to which AFG was granted an exclusive license to sell our products to original equipment manufacturers and dealerships in the automotive industry. We intend to utilize additional channel partners and grow our sales team to further expand our customer base and drive revenues. We believe our customer base will largely consist of original equipment manufacturers, car dealerships, hospitals and outpatient clinics and medical professionals, as well as insurance companies and third-party administrators that support those organizations. We intend to target partners whose offerings (both product and services) could be significantly enhanced or differentiated by our technology.

We have three primarygo-to-market strategies: (1) partner with industry-specific solution providers to target desirable industries, (2) capture key large customers organically and through partners within industry verticals andsub-industries to leverage their brand and market positions and (3) scale our business by embedding our AI platforms with solution providers and consulting companies such that their solution offerings will include all or portions of our technology to create a differentiation.

To compete with other companies that may be larger and may have more resources, our strategy is to leverage our technological lead, which is the result of our targeted and intentional approach to meeting the needs of our key customers and partners, as well as harness operational nimbleness that enables us to react quickly to sudden shifts in industry trends. We aim to leverage our partners sales teams and their existing business relationships to scale our business. Once we have established our presence with key customers and partners, our goal is to embed our platform and technology into their existing offerings such that our partners’ offerings can create a market differentiation to provide more value to their customers, generate additional revenue opportunities, pay royalties or platform fees for using our AI platforms and ultimately to provide a better customer experience.

Competitive Landscape

Our main sources of competition fall into several categories:

The AI value stack is comprised of multiple layers including services, software & applications, models & machine learning operations, infrastructure and platforms and silicon. AI and data-driven tech platforms enabling task management and/or help desk applications are most instructive. However, infrastructure & hardware players that enable AI technologies as well as large tech names that are infusing AI to enhance their broader platform value propositions are also relevant. Private market comparables may also be instructive, although performance metrics are generally limited. The scope of the AI market is defined by an ecosystem that addresses both horizontal and vertical solutions as well as Enterprises and consumer products.

The principal competitive factors in the markets in which we operate include:

Intellectual Property

We rely on a combination of patents, patent applications, registered and unregistered trademarks, copyrights, trade secrets, license agreements, confidentiality procedures, non-disclosure agreements with third parties and other contractual measures, to protect our intellectual property rights.

As of December 31, 2023, we hadtwenty-one issued patents, including ten U.S. issued patents and 11 issued abroad. Our U.S. issued patents expire between September 9, 2028, and April 18, 2031. As of December 31, 2023, we had 19 pending patent applications, including two U.S. nonprovisional patent applications, 13 U.S. provisional patent applications, one Patent Cooperation Treaty patent application, and three patent applications abroad. The pending U.S. patent applications, if issued, would expire between 2041 and 2043. We continually review our development efforts to assess the existence and patentability of new intellectual property.

We control access to and use of our proprietary technology and other confidential information through the use of internal and external controls, including contractual protections with employees, contractors, customers

and partners. We also generally apply a policy requiring our employees and independent contractors to sign agreements assigning to us any inventions, trade secrets, works of authorship, developments, processes and other intellectual property generated by them on our behalf and under which they agree to protect our confidential information. There are a number of risks associated with our patent rights and other intellectual property rights, including whether such rights are valid, enforceable or sufficient to protect our business, products or services. See the section titled “Risk Factors—Risks Related to Intellectual Property, Information Technology, Data Privacy and Security” for a more comprehensive description of risks related to our intellectual property.

Regulation

The regulation of artificial intelligence in our target verticals and its broader application is a rapidly evolving topic amongst lawmakers and policymaking organizations. While comprehensive regulation around the existence, parameters, application and use cases for artificial intelligence remain in its early stages, we expect that the regulatory environment governing our platforms and activities will rapidly develop in the future and that a substantial amount of public and private scrutiny will be placed on artificial intelligence as a whole. Additionally, jurisdictions in which we operate and may operate in the future will likely have substantially differing regulatory regimes with which we may be required to comply. While we are unable to predict the exact impact of any new regulations on our business and results of operations, we believe it is highly likely that sweeping regulations will result in additional compliance and development costs, as well as the attention of government agencies and private organizations, which may have an adverse effect on our business and financial condition.

While regulatory regimes governing artificial intelligence broadly remain undeveloped, there are a number of existing regulations in some of our target verticals with which we may need to comply. For example, there are numerous U.S. federal and state laws and regulations related to the privacy and security of personally identifiable information (“PII”), including health information. In particular, the Health Insurance Portability and Accountability Act (“HIPAA”), as amended by the Health Information Technology for Economic and Clinical Health Act, and its respective implementing regulations, establishes privacy and security standards that limit the use and disclosure of protected health information (“PHI”), and require the implementation of administrative, physical, and technical safeguards to ensure the confidentiality, integrity and availability of individually identifiable health information in electronic form. Violations of HIPAA may result in civil and criminal penalties. We will be subject to HIPAA to the extent we store customer data on our system as opposed to a third-party cloud system or with our customers.

In addition to HIPAA and state health information privacy laws, we may be subject to other state and federal privacy laws, including laws that prohibit unfair privacy and security practices and deceptive statements about privacy and security and laws that place specific requirements on certain types of activities, such as data security and texting.

In recent years, there have been a number of well-publicized data breaches involving the improper use and disclosure of PII and PHI in both healthcare and financial services. Many states have responded to these incidents by enacting laws requiring holders of personal information to maintain safeguards and to take certain actions in response to a data breach, such as providing prompt notification of the breach to affected individuals and state officials. In addition, under HIPAA and certain other laws, we must report breaches of unsecured PHI to our partners following discovery of the breach. Notification must also be made in certain circumstances to affected individuals, federal authorities and others.

In the event our platforms and applications constitute medical products, our operations may in part become regulated by the FDA and other federal and state agencies. The FDA broadly regulates the development, testing, manufacturing, labeling, packaging, storage, installation, servicing, advertising, promotion, marketing, distribution, import, export and market surveillance of our medical devices and has significant enforcement and policymaking power.

Other federal and state laws may also apply to us, including additional regulations regarding IT security, PII, deceptive trade practices in New York and California, among others. Additionally, we may be subject to the General Data Protection Regulation of the European Union and European Economic Area.

Facilities

We do not maintain any material properties.

Employees

As of December 31, 2023, we had 26 full-time employees and 12 independent contractors.

Available Information

Our internet address is https://beninc.ai/. We will file or furnish periodic reports and amendments thereto, including our Annual Reports on Form 10-K, Quarterly Reports on Form 10-Q, Current Reports on Form 8-K (and amendments to those reports), proxy and information statements and other information filed or furnished pursuant to Sections 13(a) and 15(d) of the Exchange Act with the SEC. The SEC maintains a website that contains reports, proxy and information statement, and other information regarding issuers that file electronically, which may be accessed through the SEC at http://www.sec.gov. Our reports, amendments thereto, proxy statements and other information are also made available, free of charge, on our investor relations website at https://beninc.ai/ as soon as reasonably practicable after we electronically file or furnish such information with the SEC. The information contained on the websites referenced in this Annual Report on Form 10-K is not incorporated by reference into this filing. Further, our references to website URLs are intended to be inactive textual references only. All statements made in any of our securities filings, including all forward-looking statements or information, are made as of the date of the document in which the statement is included, and we do not assume or undertake any obligation to update any of those statements or documents unless we are required to do so by law.

From time to time, we may become involved in legal proceedings or be subject to claims arising in the ordinary course of our business. We are not presently a party to any legal proceedings that, if determined adversely to us, would individually or taken together have a material adverse effect on our business, operating results, cash flows or financial condition. Defending such proceedings is costly and can impose a significant burden on management and employees. The results of any current or future litigation cannot be predicted with certainty, and regardless of the outcome, litigation can have an adverse impact on us because of defense and settlement costs, diversion of management resources and other factors.