The newly issued U.S. Patent No. 12,609,185 centers on an artificial intelligence layer that interprets raw RF signals to determine the volume, proof, and maturation of liquids stored in sealed containers. By utilizing Physics-Informed Neural Networks, the system incorporates environmental data such as humidity and temperature to account for seasonal variables that typically render static measurements unreliable. This technology allows for edge-device inference, creating a verifiable chain of custody for aging assets.

Complementing this, U.S. Patent No. 12,669,362 covers multi-frequency dielectric RF sensing, specifically targeting backscatter implementations. With this grant, the company now holds protected methods for both transmission and backscatter sensing, the two primary approaches for monitoring sealed vessels. While the company currently focuses on the spirits industry, the underlying platform is designed to scale across the pharmaceutical, chemical, and logistics sectors, where the authentication of contents within metal, glass, or plastic containers is essential. CEO Brian Anderson noted that the company maintains eight additional pending U.S. applications and six international PCT filings to support its long-term commercial deployment strategy.