Alpha Modus Introduces ARIA: Enterprise AI for Physical Retail, Built on Anthropic's Claude and Backed by 12 Granted U.S. Patents

CORNELIUS, N.C., May 27, 2026 (GLOBE NEWSWIRE) -- Alpha Modus Holdings, Inc. ("Alpha Modus") (NASDAQ: AMOD ), through its subsidiary Alpha Modus, Corp., today introduced ARIA , the Adaptive Retail Intelligence Architecture, an enterprise AI platform that operationalizes the company's patent retail technology AI portfolio inside the physical store. ARIA's AI analysis engine is powered by Claude Sonnet 4.6, Anthropic's AI model. ARIA is designed as a platform-as-a-service (PaaS), using infrastructure already in place, with no new hardware required. The company is internally testing the ARIA MVP and will be advancing the platform toward commercial availability. The announcement arrives at an inflection point for enterprise AI. Across industries, AI investment is generally accelerating while production deployments remain scarce. Research published in March 2026 found that while 67% of organizations report measurable gains from AI agent pilots, only 10% successfully scale those pilots to production.1 Retail has followed the same pattern: years of AI investment concentrated in digital channels, while the physical store, where an estimated 80% of consumer spending takes place,2 remains largely without the real-time intelligence infrastructure that online retail now considers standard. ARIA is designed to close that gap and offer physical retail locations the same quality of insights and data granularity that exists in digital commerce today. ARIA ingests signals from the retailer's existing environment, including but not limited to, point-of-sale systems, in-store cameras, Wi-Fi networks, loyalty platforms, and digital signage. ARIA processes those inputs through a real-time reasoning layer and routes decisions to, amongst others: in-store displays and kiosks, as well as associate devices at the shelf. Every consumer interaction is measured back to a transaction outcome through the platform's closed-loop attribution layer, closing a measurement gap the physical retail industry has been unable to address at scale. The architecture follows the company's proprietary Sense → Decide → Deliver → Attribute framework, now expressed as software that will be available for commercial consumption. "Most enterprise AI platforms are built for the easy case: text in, text out, in a controlled environment. We think ARIA will solve the hard case: a physical store with thousands of SKUs, hundreds of shoppers moving through simultaneously, and millisecond windows to influence a purchase decision," said Sasha Asgary, VP Corporate Communications and ARIA Architect, Alpha Modus Holdings, Inc. "I architected ARIA on top of the Alpha Modus, Corp. ... Full story available on Benzinga.com