RAIR Technologies Launches Web3 Solution With Facial Recognition, Off-Chain Analytics Engine

RAIR Technologies unveiled Thursday, Feb. 8 a Web3 marketplace and management platform designed for enterprise use.

What Happened: The company debuted the RAIR.market platform, its first production-ready suite aimed at facilitating the entire digital asset lifecycle for businesses, from asset creation and digital rights management (DRM) to marketplace trading.

RAIR.market is engineered to assist enterprises in integrating Web3 technologies into their existing operations, addressing common challenges such as asset tokenization, media management, interactive marketing, supply chain verification, and royalties tracking.

Among the platform's features are patent-pending DRM, facial recognition technology, and an off-chain analytics engine, which are exclusive to RAIR.market. It also offers a gas-efficient minting engine compatible with any Ethereum Virtual Machine (EVM) and the forthcoming Zero-Knowledge EVMs (ZK-EVMs), enabling the creation of digital assets with custom metadata and royalty configurations.

The company added that it has a white-label solution, that allows for a fully customizable, brand-specific user interface accessible on both desktop and mobile devices.

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In addition to primary asset minting, RAIR.market supports a secondary marketplace for buying and selling collections with ensured royalty protection.

Its asset management capabilities are further enhanced by a Digital Millennium Copyright Act (DMCA) compliant streaming engine, comprehensive API documentation for straightforward integration, and a user-friendly wallet manager that supports social login, native Web3 wallets, and fiat transactions. 

“Web3 is a rapidly expanding industry that will transform the way enterprises generate revenue, but the biggest challenge thus far has been how difficult Web3 is to use,” said RAIR CTO Garrett Minks. “RAIR.market makes Web3 seamless for enterprises to manage with a branded, engaging experience all while protecting their critical proprietary data.”

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