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VERSESĀ® Receives Patent for Specifying Domain Models with Active Inference Agents

Patent Illustrates Additional Component of Company’s Commercial Strategy

VANCOUVER, British Columbia, Aug. 25, 2025 (GLOBE NEWSWIRE) — VERSES AI Inc. (CBOE: VERS) (OTCQB: VRSSF) (ā€œVERSESā€ or the ā€œCompanyā€), a cognitive computing company specializing in next-generation agentic software systems, today announces that a patent was issued by the US Patent and Trademark office to the VERSES team.

The patent, entitled, ā€œA Method and System for Specifying an Active Inference based agent using Natural Languageā€, presents a novel approach for designing domain models that is designed to enable software agents to generate predictions and carry out domain-specific tasks.

ā€œThis patent represents just a glimpse of how VERSES is turning active inference into usable, scalable technology,ā€ said Hari Thiruvengada, Chief Technology Officer of VERSES. ā€œBy allowing domain models to be expressed in natural language, we’re enabling enterprises to design intelligent agents that are both powerful and accessible.ā€

US patent 12,393,581 Š’2 can be found here: https://patents.google.com/patent/US12393581B2/en?oq=12%2c393%2c581+

For more information on VERSES approach to agentic intelligence visit https://www.verses.ai/genius

About VERSES

VERSESĀ® is a cognitive computing company building next-generation agentic software systems modeled after the wisdom and genius of Nature. Designed around first principles found in science, physics and biology, our flagship product, Genius,ā„¢ is an agentic enterprise intelligence platform designed to generate reliable domain-specific predictions and decisions under uncertainty. Imagine a Smarter World that elevates human potential through technology inspired by Nature. Learn more at verses.ai, LinkedIn and X.

On behalf of the Company

Gabriel RenƩ, Founder & CEO, VERSES AI Inc.
Press Inquiries: [email protected]
Investor Relations Inquiries
James Christodoulou, Chief Financial Officer
[email protected], +1 (212) 970-8889

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