• A Danaher for the AI era
• A Berkshire Hathaway focused on AI transformation
• A private equity firm that builds an AI ecosystem

• Company Acquisition and Consolidation: AIAI identifies, acquires, and consolidates high-potential companies across diverse industry sectors to integrate them into its AI-powered ecosystem.
• AI-driven Operational Transformation: AIAI applies its proprietary, licensed AI technology to the operations of its wholly-owned subsidiaries to enhance performance, unlock synergies, and generate increased stockholder value.
• Integrated AI Ecosystem Development: AIAI builds a portfolio of AI-integrated companies that form a shared intelligence layer, facilitating cross-company pattern detection and shared insights to predict outcomes and deepen relationships.

AIAI does not have external major customers in the traditional sense.

The company's business model involves acquiring companies and then integrating its proprietary AI technology directly into the operations of these wholly-owned subsidiaries. Its strategy explicitly states it creates a "captive client base" through these targeted acquisitions, rather than marketing, selling, or licensing its AI to unrelated third-party clients.

Therefore, its "customers" are its own acquired and integrated subsidiaries, not external companies or individuals purchasing its services.

John P. Rochon, Ph.D., Chairman of the Board

John P. Rochon is the founder of AIAI and M42. He is a veteran investor and operator with over four decades of success in finance, operations, business planning, marketing, political strategy, and private equity. He previously led the leveraged buyout of Mary Kay and has been involved in more than 350 business transactions. He is the founder and chairman of Richmont, a private investment and holding company, and the Rochon Family Office. Richmont's investments have included companies and brands such as Mary Kay Cosmetics, Avon, Armor Holdings, and RealPage. His career includes orchestrating one of the most successful leveraged buyouts in history as CEO of Mary Kay Cosmetics.

Todd A. Furniss, Chief Executive Officer and Director

Todd A. Furniss is a co-founder of AIAI. He is a seasoned executive, private equity investor, healthcare visionary, published author, and business strategist with over 25 years of global experience across operations, consulting, and investment. He is the Founder and CEO of gTC Group, a private equity firm focused on middle-market healthcare and business services companies. He previously served as President and COO at Everest Group.

Stephanie Liebman, Executive Vice President and Chief Financial Officer

Stephanie Liebman is the former Chief Accounting Officer/SVP at HP Inc. She possesses extensive experience in finance operations, risk management, and audit leadership. She is a CPA and CFE with expertise in global finance operations and was also a former NTT DATA leader.

Kenneth Betts, Executive Vice President and General Counsel

Kenneth Betts is a capital markets and corporate finance attorney with over 40 years of experience. He was a former partner at Winston & Strawn and Egan Nelson LLP and advises on public and private securities transactions.

Barbara Barton Weiszhaar, Senior Vice President and Chief Accounting and Tax Officer

Barbara Barton Weiszhaar is a former senior finance/tax executive at HP, where she led global tax integration and public-company transformation initiatives. She also served as the former Chief Tax Officer at HP/EDS, bringing extensive experience in global tax, compliance, and finance transformation.

Key Business Risks for AIAI:

1. Dependency on Licensed AI from a Related Party: AIAI's core AI technology is licensed from Messier 42 LLC (M42), a company controlled by its founder, John P. Rochon. This creates a significant dependency on an external, related entity for its fundamental intellectual property and operational capabilities, exposing AIAI to potential risks related to the license terms, M42's continued development and support of the AI, or potential conflicts of interest.
2. Challenges and Execution Risk of AI Integration into Diverse Acquired Businesses: The company's strategic thesis relies heavily on its ability to rapidly and successfully integrate its proprietary AI into the operations of a diverse portfolio of acquired companies across multiple industry verticals (e.g., construction, healthcare, defense). Despite AIAI's anticipated shorter implementation timelines (four to six months post-acquisition), successfully applying and integrating complex AI solutions across disparate businesses, cultures, and operational frameworks is inherently challenging and carries significant operational risk, particularly given that "90% of all successful AI pilot projects were never implemented." Failure to achieve effective integration could hinder expected performance improvements and value generation.
3. Risk of Unsuccessful Acquisition and Scaling Strategy: AIAI's business model is predicated on identifying, acquiring, and successfully scaling "high potential, AI-adjacent companies." There is an inherent risk that the company may not be able to consistently identify suitable acquisition targets, successfully negotiate favorable terms, or achieve the anticipated operational improvements and synergies through its AI integration, which could negatively impact its growth strategy and stockholder returns.

The primary emerging threat to AIAI stems from the potential for the broader AI market to develop and offer highly effective, easily deployable, and cost-efficient AI solutions and integration services. AIAI's business model is explicitly built on the premise that acquiring companies and directly integrating its licensed AI is a superior method to the "generally accepted industry practice of marketing, selling and negotiating individual license agreements with multiple unrelated clients." AIAI claims this approach leads to accelerated implementation, reduced execution risk, and lower pursuit costs. If independent AI vendors, major technology companies, or specialized AI consulting firms can provide competitive AI technologies that are easy for companies to license, adopt, and integrate quickly and effectively on their own, or with less intrusive partnerships, it would undermine AIAI's core value proposition. This could diminish the appeal for companies to be acquired by AIAI for AI integration purposes, thereby reducing AIAI's pool of high-potential acquisition targets and challenging the fundamental competitive advantage of its acquisition-based operating strategy.

AIAI aims to create an AI-powered ecosystem by acquiring companies in various high-potential verticals and integrating its proprietary Artificial Intelligence. The addressable markets for AIAI's AI integration services within these main sectors on a global scale are:

• Construction: The global AI in construction market size was valued at approximately USD 4.86 billion in 2025 and is projected to grow to about USD 35.53 billion by 2034.
• Healthcare: The global AI in healthcare market size is expected to reach around USD 701.79 billion by 2034, growing from approximately USD 37.09 billion in 2025.
• Defense: The global AI in defense market size was valued at roughly USD 16.51 billion in 2025 and is projected to reach about USD 211.82 billion by 2035.
• Blockchain Data Infrastructure and Digital Assets: The Global Crypto Making AI Market size is expected to be around USD 5.1 billion in 2025 and is projected to grow to approximately USD 55.2 billion by 2035.
• Government Services: The global AI in Government and Public Services Market was valued at approximately USD 26.4 billion in 2025 and is expected to grow to about USD 98.13 billion by 2033.

Here are 3-5 expected drivers of future revenue growth for AIAI over the next 2-3 years:

1. Strategic Acquisitions and Expansion of Portfolio: AIAI's core strategy involves identifying, acquiring, and consolidating high-potential, AI-adjacent companies across multiple industry verticals. Each successful acquisition will directly contribute to the company's consolidated revenue base as it expands its portfolio.
2. Enhanced Operational Performance of Subsidiaries via Proprietary AI Integration: The company's fundamental premise is to improve the operating results of its acquired subsidiaries through the application of its proprietary AI, licensed from M42. This integration is expected to unlock hidden value, create efficiencies, and generate increased revenue within the acquired entities.
3. Synergistic Value Creation Across Diverse Verticals: By integrating diverse companies into a cohesive AI ecosystem and developing a shared intelligence layer, AIAI anticipates unlocking synergies and creating solutions that are "greater than the sum of their parts." This cross-vertical perspective is expected to reveal undiscerned patterns, predict outcomes, and lead to new revenue opportunities that traditional models miss.
4. Accelerated AI Implementation and Monetization: AIAI's acquisition strategy, as opposed to licensing, is designed to enable a significantly faster implementation of its AI solutions within acquired companies (anticipated 4-6 months). This accelerated integration allows for quicker realization of the AI's benefits and, consequently, a more rapid impact on the revenue generation of its subsidiaries.

Share Issuance

• AIAI Holdings Corporation began trading on NASDAQ on May 14, 2026, through a direct public offering (DPO).
• The IPO involved an offering of 69,483,430 Class A shares at an IPO price of $20.00, totaling a deal size of $1.39 billion.

Outbound Investments

• The company's core strategy is to acquire and scale companies internationally by integrating its proprietary AI into their operations.
• AIAI aims to build a diversified portfolio across multiple verticals such as construction, healthcare, defense, blockchain data infrastructure, digital assets, and government services.
• Projected combined 2025 revenues of around $272 million across portfolio companies post-DPO indicate past or planned acquisitions.