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Mithril Royalties Signs Royalty Agreement At Tulu Kapi Gold Project

Strategic Expansion In Africa’s Gold Arena

Cyprus-based Mithril Royalties announced a development related to Ethiopia’s Tulu Kapi gold project after KEFI Gold and Copper finalized a mining services contract with BCM Group valued at more than $400 million. The agreement covers the first nine years of mining operations and represents the largest operational contract signed for the project to date.

Landmark Contract With BCM Group

Announced on June 22, 2026, the contract forms part of the project’s preparations for production. Mithril’s involvement comes through a $10 million gold royalty linked to Tulu Kapi Gold Mines, KEFI’s Ethiopian subsidiary. As a result, royalty payments will be tied directly to the performance of the project rather than the wider corporate group.

Resilient Royalty Structure And Risk Profile

According to the company, the royalty carries commercial terms comparable to those of a $20 million royalty held by Chancery Royalty, despite representing a smaller nominal gold exposure.

Disclosures published by KEFI Gold and Copper on the London Stock Exchange state that royalty payments will be made from distributable cash alongside shareholder distributions. The company also said the arrangement does not create additional default risk for lenders or shareholders during the development phase.

Looking Ahead: Production Forecast And Market Impact

Tulu Kapi contains reserves of 1.05 million ounces of gold and total resources of 1.72 million ounces. Annual production is projected at approximately 175,000 ounces during the early and mid-life stages of the mine.

Commenting on the transaction, Mithril Royalties founder and CEO John Costaschuk said the royalty structure provides exposure to producing assets as projects move from development into operation.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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