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Datavault AI Secures $7M Minting Deal and Royalty Partnership with MTB Mining to Digitize Mineral Assets

By Burstable Editorial Team

TL;DR

Datavault AI's $7 million deal with MTB Mining provides investors with a 30% perpetual royalty and positions them at the forefront of digital mineral asset trading.

Datavault AI uses its patented Sumerian technology to digitize MTB Mining's mineral assets into verified digital tokens for the International Elements Exchange platform.

This partnership modernizes mineral verification through transparent digital tracking, creating more ethical and accountable global commerce practices.

Datavault AI is transforming 25 million metric tons of copper and rare Windsor Ruby gemstones into traceable digital assets for virtual trading.

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Datavault AI Secures $7M Minting Deal and Royalty Partnership with MTB Mining to Digitize Mineral Assets

Datavault AI has announced a $7 million minting deal and 30% perpetual royalty partnership with Tanzania-based MTB Mining Limited, representing a significant step toward modernizing mineral verification and global commerce through digital ledger technology. The partnership will utilize Datavault AI's patented Sumerian technology to digitize MTB Mining's extensive mineral resources, including more than 25 million metric tons of copper reserves, 2.44 square kilometers of proven mineral assets, and notable gemstones such as the Windsor Ruby.

The digitization process will transform these physical mineral assets into verified, traceable digital assets for the forthcoming International Elements Exchange, a virtual refinery designed to enable compliant, transparent, and monetizable real world asset trading. This approach addresses longstanding challenges in the mining industry related to verification, transparency, and asset liquidity. By creating digital representations of physical mineral assets, the partnership aims to establish a new standard for mineral trading that reduces fraud, improves traceability, and enhances market efficiency.

The 30% perpetual royalty structure represents an innovative revenue model that aligns the long-term interests of both companies while creating ongoing value from the digitized assets. This royalty arrangement ensures that Datavault AI maintains a continuous stake in the success of the digitized mineral assets throughout their lifecycle. The $7 million minting deal provides immediate capital infusion while establishing the framework for future digital asset creation and trading.

The International Elements Exchange platform promises to revolutionize how mineral assets are traded globally by providing a compliant and transparent marketplace for real world asset digitization. This development comes at a time when industries worldwide are seeking more efficient, verifiable methods for asset trading and ownership transfer. The mining sector specifically stands to benefit from reduced transaction costs, improved asset verification, and enhanced market access through this digital transformation.

For more information about Datavault AI's technology platform, visit https://www.datavaultsite.com. Additional details about the partnership and forward-looking statements can be found at https://ibn.fm/s1azn, with comprehensive disclaimers available at http://IBN.fm/Disclaimer.

The partnership between Datavault AI and MTB Mining represents a convergence of traditional mining operations with cutting-edge digital asset technology, potentially setting a new industry standard for mineral verification and trading. As global demand for transparent supply chains and verifiable asset ownership grows, this collaboration demonstrates how blockchain technology can bring unprecedented levels of trust and efficiency to commodity markets. The successful implementation of this model could inspire similar digitization efforts across other resource-based industries, fundamentally changing how physical assets are represented, verified, and traded in global markets.

Curated from NewMediaWire

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Burstable Editorial Team

Burstable Editorial Team

@burstable

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