For years, Chairman John P. Rochon, Ph.D., largely remained outside the spotlight. Inside investment circles, however, his name never disappeared. Known for decades of mergers and acquisitions leadership, long-duration value creation strategies, and a career spanning more than 350 transactions, Rochon quietly built a reputation as an operator who preferred building enterprise value over building headlines.
Now, he is stepping back into the public arena with the launch of AIAI Holdings Corporation, also known as Ai2, which began trading on the NASDAQ Global Market under the ticker symbol “AIAI.”
The company aims to redefine what an AI company can become. Unlike many artificial intelligence firms flooding the market today, AIAI is not attempting to sell chatbots, subscriptions, or generic software licenses.
Ai2 is a closely held public Nasdaq company, meaning it trades on a public exchange while maintaining concentrated control over major strategic decisions. That structure is central to Rochon’s ability to carry forward the M&A discipline behind Richmont’s decades-long acquisition strategy.
Rochon’s vision is significantly more ambitious:
Acquire companies
Implement AI internally
Increase enterprise performance
Compound long-term value
In many ways, insiders are already quietly referring to the concept as: “An AI-powered Berkshire Hathaway.”
A Different Kind of AI Company
Most AI companies today monetize software directly. AIAI Holdings is pursuing an entirely different strategy.
According to my conversation with Matthew Selinger, the company is structured as a diversified holding company designed to acquire and scale businesses through the deployment of its proprietary “Transformational AI” platform, known internally as TAI.
The company describes the platform as integrating:
- psychometric intelligence
- generative AI
- agentic AI
- advanced analytics
- and more than 180 branches of mathematics and science
The objective is not simply automation. It is operational transformation.
“We’re not out selling AI,” Selinger explained in our interview discussing the launch. “We are acquiring companies, implementing AI on those companies, increasing operational performance, and harvesting that enterprise value.”
That distinction may prove critical. Rather than licensing its systems outward, AIAI intends to retain all AI-generated value creation internally, a structure the company refers to as “captive monetization.” In theory, that means shareholders participate directly in the margin expansion, efficiency gains, and growth acceleration generated by the platform itself.
The Great Wealth Transfer Meets Artificial Intelligence
At the center of Rochon’s strategy is a macroeconomic reality few firms are discussing publicly at scale: America’s generational ownership transition. The company believes a historic opportunity is emerging as millions of business owners approach retirement without clear succession strategies in place.
The company points specifically to:
- more than $3.8 trillion in private equity backlog,
- constrained liquidity markets,
- longer private equity hold periods,
- and accelerating “boomer business transitions.”
Against that backdrop, AIAI believes it can provide something increasingly rare: liquidity without disruption.
Instead of dismantling acquired companies, leadership repeatedly emphasizes retaining management teams, preserving culture, and using AI to enhance, not replace, human operators.
“We’re not buying companies to strip them down,” Selinger said. “We want to keep management. We want to help companies implement AI and grow stronger.”
That approach differs meaningfully from many traditional private equity models focused primarily on aggressive cost reduction.
The CURA Thesis
Perhaps the most compelling intellectual framework within the company’s strategy is what AIAI calls “CURA.”
CURA stands for:
- Complex
- Urgent
- Administrative
The company believes AI creates the greatest enterprise advantage in industries where human cognition begins reaching operational limits.
Examples include:
- emergency dispatch systems,
- healthcare routing,
- insurance claims processing,
- procurement,
- logistics,
- dynamic pricing,
- cybersecurity,
- and high-volume enterprise decision environments.
Leadership describes these sectors as environments where “human performance degrades most” because of complexity, urgency, and volume.
That thesis appears to shape the company’s acquisition roadmap moving forward.
A Leadership Team Built for Scale
The company’s executive bench and board composition immediately stand out. Todd Furniss, AIAI’s CEO, brings more than 25 years of operational, consulting, and private equity experience across healthcare and business services. Furniss previously founded gTC Group and co-founded PlumTree Partners, while holding leadership roles at Everest Group and EDS.
The company also recruited Michael Sandoval, former Microsoft executive, inventor, mathematician, and AI scientist, who is helping architect the company’s evolving AI framework. According to individuals close to the company, Sandoval’s integration into the platform substantially expanded AIAI’s mathematical and enterprise capabilities.
Rounding out the team are Stephanie Liebman, who served as Chief Accounting Officer and Senior Vice President of Finance Operations at HP Inc., and Ken Betts, who has served as a partner most recently at Egan Nelson and before that Winston & Strawn and Skadden Arps.
The broader board reflects a deliberate attempt to bridge:
- artificial intelligence
- defense
- infrastructure
- finance
- healthcare
- cybersecurity
- and national security expertise
Among the independent directors are:
- Special Technology Advisor and Fellow to the FBI Dr. Melvin Greer
- Aligned Data Centers CEO Andrew Schaap
- Dr. Doohi Lee
- Former Ambassador to the OECD, Jeanne Phillips
- Brigadier General Tom Cosentino
- Former Chairman of Vail Health Eric Affeldt
- Hon. Don Remy, former Deputy Secretary of the U.S. Department of Veterans Affairs
The composition suggests the company is positioning itself far beyond consumer AI applications.
From AI Theory to Enterprise Implementation
Unlike many AI narratives centered on speculation, AIAI’s model depends on proving measurable operational outcomes. The company states that acquisition candidates will generally include businesses with:
- more than $100 million in revenue,
- EBITDA margins above 5%,
- high cash conversion,
- strong management teams,
- and willingness to adopt AI-driven operational systems.
Leadership says implementation will not follow a “one-size-fits-all” model. Instead, the process begins diagnostically: identifying EBITDA pain points, operational inefficiencies, workflow bottlenecks, and opportunities for AI-enhanced optimization.
Examples discussed by company representatives include:
- construction bidding optimization
- predictive maintenance
- operational safety systems
- fraud detection
- enterprise workflow automation
- and customer acquisition intelligence
The company argues that AI’s true value may not simply come from cutting costs, but from new, innovative service offerings and unlocking entirely new layers of operational scale.
Bringing Light to Darkness
Beyond the public company narrative lies another dimension of Rochon’s long-standing interests: AI-enabled intelligence systems. Individuals familiar with the broader Rochon ecosystem describe a multi-decade focus on psychometric AI, behavioral analytics, and identifying malicious actors through advanced intelligence methodologies.
One organization connected to those efforts is Skull Games, a veteran-led anti-human trafficking organization supported by Rochon that utilizes open-source intelligence and behavioral tracking to identify child predators and trafficking networks. The organization works closely with former special operations personnel and law enforcement partners.
Associates describe the mission as “bringing light to darkness.” That phrase has reportedly become closely associated with Rochon’s broader philosophy around AI deployment itself.
Rochon’s broader ecosystem also includes M42, a private AI-focused entity connected to the Rochon family office that has publicly discussed AI applications involving justice, intelligence, and human behavior analysis. While AIAI Holdings itself remains focused on enterprise acquisition and operational transformation, these adjacent initiatives reveal the broader worldview influencing Rochon’s long-term vision.
The Road Ahead
AIAI Holdings launched publicly with six initial portfolio companies spanning:
- construction
- healthcare
- AI research
- blockchain
- digital infrastructure
- and media-related operations
Leadership emphasizes this is only the beginning. Executives say the current portfolio does not reflect the eventual scale or composition of the company they intend to build. “We have a robust acquisition pipeline,” one company representative said during launch discussions. “The companies you’ll see coming forward will dramatically change the composition of the company over time.”
For investors, the opportunity and the risk now become execution. The market has heard countless AI promises. AIAI Holdings is making a different bet: that AI’s greatest value may not come from selling software, but from owning the companies transformed by it.
