Collaborative Launch of AI-Driven Exploration Tech

Aterian plc (LSE: ATN), the critical mineral exploration and development company, is pleased to announce that it has entered into a pioneering Memorandum of Understanding ("MoU") with a stealth-stage, machine learning start-up ("MLS") specialising in advanced computational modelling for mineral exploration. MLS is spun out from the University of Cambridge and backed by the Royal Academy of Engineering and Entrepreneurs First - a global talent investor co-founded by Matt Clifford (former AI Opportunities Advisor to Keir Starmer, UK Prime Minister).

Under the MoU, the parties will collaborate on a multi-phase pilot programme applying MLS's multimodal, explainable network inference technology to Aterian's exploration portfolio, with an initial focus on the portfolio in Morocco.

Phase 1 of the pilot will use historical exploration data from Morocco to develop and back-test a machine learning model designed to identify promising drill targets, aiming to achieve a significant reduction in drilling requirements while maintaining or improving resource estimation confidence.

Phase 2, subject to the successful completion of Phase 1 and agreement on commercial terms, will adapt the model to planned future exploration across Aterian's portfolio of pipeline projects, delivering significant cost savings and accelerating discovery timelines.

MLS's proprietary algorithms have been developed by a team with deep expertise in geophysics, artificial intelligence, and energy transition infrastructure. They are designed to enhance exploration efficiency, reduce costs, and mitigate project development risks.

Charles Bray, Chairman of Aterian, commented:

"This groundbreaking collaboration combines Aterian's strong portfolio of African-focused critical mineral assets with advanced AI technology being developed by a University of Cambridge spin-out stealth company. We already see significant potential for this partnership to deliver faster, more intelligent exploration targeting, ultimately enhancing value for our shareholders while supporting the global energy transition's demand for responsibly sourced metals.

Harnessing the power of AI to analyse and interpret complex geological data in ways never before possible opens an entirely new chapter in how we explore and discover mineral resources. We see immense potential for this partnership to accelerate Aterian's exploration planning, unlock hidden value in our portfolio, and deliver transformational benefits for our shareholders while contributing to the global energy transition's demand for responsibly sourced metals."

MLS commented:

"We are excited to work with Aterian to demonstrate the potential of our technology to materially improve exploration outcomes while reducing drilling requirements. By leveraging historical and new data, we aim to help Aterian unlock critical mineral discoveries more efficiently and sustainably."

Aterian plc:

Charles Bray, Executive Chairman - charles.bray@aterianplc.com

Simon Rollason, Director - simon.rollason@aterianplc.com

Financial Adviser and Joint Broker:

Novum Securities Limited

David Coffman / Anastassiya Eley

Colin Rowbury

Joint Broker:

SP Angel Corporate Finance LLP

Ewan Leggat / Adam Cowl

Financial PR:

Bald Voodoo - ben@baldvoodoo.com

Ben Kilbey

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