VERSES® Shareholder Update Letter

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Webinar to Follow at 9:30am PT/12:30pm ET Today

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VANCOUVER, British Columbia, July 29, 2025 (GLOBE NEWSWIRE) — VERSES AI Inc. (CBOE: VERS) (OTCQB: VRSSF) (“VERSES” or the “Company”), a cognitive computing company specializing in next-generation agentic software systems releases a shareholder letter ahead of the corporate webinar today, Tuesday June 29th at 9:30am PT/12:30pm ET.

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Shareholder Update Summer 2025

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Thank you to all of our investors and stakeholders who have supported us during the last few years, and especially during the most recent challenging times. We are hosting a webinar today and look forward to discussing these points in more detail and we encourage you to join us using this link: Here

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We are at day 1 of AI

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When we founded VERSES we were excited by the possibilities that AI and Spatial Computing offered to make the world smarter and better and we have been working hard to try to make that vision a reality.

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While some types of AI have become mainstream seemingly overnight, in our view, Enterprise AI adoption has, so far, been slow, especially for important tasks such as running a business, driving a car or logistics.

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In our view, slower than expected adoption isn’t because of a lack of interest from large companies, but rather it is because Large Language Models (LLMs), while an incredible achievement, do not really perform tasks and are not reliable for many purposes.

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VERSES approach is based in science

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We believe our strategy is different and unique from other AI companies, so it’s natural that many people still need to understand the full scope and application of what we are developing here at VERSES.

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We drew inspiration from human intelligence for a simple reason. Evolution has invested millions of years into brains and bodies that are efficient at thriving in our world. That’s why, for example, a human brain operates on only 20 Watts. And it is why we can quickly adapt to a changing environment.

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Karl Friston, often listed as one of the world’s most cited neuroscientist, is our Chief Scientist. He and others have, over the last few decades, described this process as ‘active inference’.

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The brain models the world and checks it against what it senses. To do this, the brain runs experiments. It assesses how well its model works. Then, it tests this model in the real world. Based on the results, it decides whether to keep the current model or update it to better match reality.

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This process has been validated in multiple examples in numerous peer-reviewed journals demonstrating how actual neurons perform this process¹, but people have generally believed these approaches are impossible to translate to computer science at a scalable level.

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Proof that it’s working:

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Proof #1: AXIOM

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In benchmarking, we have determined that AXIOM is more reliable and dramatically more efficient than other top models.