NEW YORK, Feb. 07, 2026 (GLOBE NEWSWIRE) — Ramsey Theory Capital has launched enhanced governance solutions aimed at helping enterprises navigate the increasingly complex regulatory landscape surrounding artificial intelligence (AI) safety and accountability. The announcement comes on the heels of New York’s enactment of the Responsible AI Safety and Evaluation (RAISE) Act, which aligns the state with California’s Frontier AI Laws, reflecting a broader shift towards strict AI regulatory frameworks across the United States.
The RAISE Act establishes one of the most comprehensive state-level regulatory frameworks to date, requiring organizations developing or deploying advanced AI systems to showcase transparency, risk awareness, and accountability throughout the AI lifecycle. As more states introduce similar legislation, enterprises face a fragmented regulatory environment that necessitates a departure from traditional compliance methods that rely heavily on static documentation.
Dan Herbatschek, CEO of Ramsey Theory Capital, emphasized the urgency for enterprises to adapt, stating, “State-level AI regulation is moving faster than most enterprises anticipated, and the compliance burden is no longer theoretical — it’s operational. The RAISE Act signals a broader shift toward enforceable AI accountability. Enterprises need governance intelligence that operates in real time, not static reports created after the fact.”
Ramsey Theory Capital’s governance solutions are designed to simplify compliance by embedding risk analytics, documentation, and oversight into the design, deployment, and operation of AI systems. This integrated approach allows organizations to meet new legal obligations without impeding innovation. The solutions enable AI lifecycle visibility across models, data pipelines, and vendors, providing risk classification and analytics aligned with emerging safety laws.
Additionally, the platform offers automated documentation to support audits, disclosures, and regulatory inquiries, along with ongoing monitoring for performance drift, misuse, and unintended outcomes. This comprehensive framework allows enterprises to demonstrate continuous oversight and accountability, a key requirement of laws like the RAISE Act, while remaining agile as regulations evolve.
The governance solutions are particularly tailored for industries that are heavily regulated and where AI systems play a critical role in decision-making, such as healthcare, logistics, automotive, and field services. As these sectors increasingly rely on AI-driven operations, Ramsey Theory Capital is positioning itself as a strategic partner for organizations striving to balance regulatory compliance with the need for rapid innovation and the building of trust in AI applications.
Herbatschek further noted the shift in mindset required for successful AI governance: “The era of ‘build now, govern later’ is over. Enterprises that succeed with AI in the next decade will be the ones that treat governance as a core operating capability — not a regulatory checkbox.”
Founded by Herbatschek, Ramsey Theory Capital operates as Ramsey Theory Group and is headquartered in New York, with additional offices in Los Angeles and New Jersey. The company focuses on developing and scaling AI-driven platforms that enhance mission-critical enterprise operations across various sectors, including healthcare, logistics, and digital commerce.
The firm’s portfolio includes several specialized entities like Erdos Technologies, Erdos Digital, and Erdos Medical, each aimed at assisting organizations in transitioning from experimental to scalable AI implementations that yield measurable operational, financial, and customer-experience benefits. Ramsey Theory Capital emphasizes practical AI adoption and governance-ready architecture, striving to help clients modernize workflows, automate complex decision-making, and leverage data for competitive advantage.
As states continue to introduce AI safety laws, Ramsey Theory Capital’s proactive approach to governance underscores the importance of integrating compliance into the core of AI strategy, ensuring that organizations can innovate responsibly while adhering to regulatory demands.
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