AI trained on ten million synthetic Earths outperforms conventional copper estimates at TSXV-listed ATEX's Valeriano project

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The company says AI's next bottleneck isn't chips or power, it's finding the metal to wire it all together. Working with Nvidia, Its chief scientist calls Tau 3.8 an "AlphaGo…

The company says AI's next bottleneck isn't chips or power, it's finding the metal to wire it all together. Working with Nvidia, Its chief scientist calls Tau 3.8 an "AlphaGo moment for geology"

TORONTO and ADELAIDE, Australia, Nov. 10, 2026 /PRNewswire/ -- Fleet Space Technologies (Fleet), the space and AI company backed by In-Q-Tel and Teachers' Venture Growth (TVG), the late-stage venture and growth investment arm of Ontario Teachers' Pension Plan, today launched Tau 3.8 in the United States and Canada, an AI "world model" for mineral systems.

Trained on ten million synthetic geological worlds, Tau combines Fleet's 3D seismic intelligence with drilling, geology, geophysics and mineralogy data. It reconstructs hidden geology, ranks targets for resource expansion and identifies which new measurement would most reduce uncertainty, so mining companies can decide where to drill next with far more confidence.

North America's AI build-out is running into a physical limit: copper. Every data center, transmission line and grid upgrade needs it. S&P Global forecasts that data-center copper demand will more than double, from 1.1 million metric tons in 2025 to 2.5 million metric tons by 2040, with AI training accounting for 58% of that demand by 2030. Copper is one of six priority minerals in Canada's Critical Minerals Strategy, yet Canadian copper production fell by nearly 25% between 2014 and 2023, according to Natural Resources Canada. At the same time, the US now relies on imports for 57% of the copper it consumes, up from 45% a year earlier, according to the US Geological Survey.

Most of the debate about AI's limits has focused on chips and power. Fleet argues the deeper constraint is discovery. Finding and expanding the deposits that must supply the industry is still slow, expensive and uncertain, and billion-dollar decisions rest on drillholes that sample only a fraction of the ground beneath them.

"North America is building an AI economy on a mineral base it hasn't yet…

"T…

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