The Rock Hill, South Carolina–based firm aims to shift the conversation from speculative AI potential to the practical mechanics of governance and risk. According to Benjamin, the well-documented concerns regarding tokenization costs and the limitations of large language models were predictable outcomes rather than unforeseen technical hurdles. The event is targeted at decision-makers in capital allocation and critical infrastructure who are currently recalibrating their approach to agentic AI.

Benjamin and Williams bring backgrounds in investment advisory, quantitative finance, and corporate strategy to the table. Their critique centers on the disconnect between committed capital expenditures and the delayed realization of promised gains. For many boards, the standard cycle of AI implementation has become untenable. By focusing on proprietary platforms designed for high-consequence environments, the founders intend to offer a framework for innovation that balances technical discovery with fiscal accountability.