Verses AI Inc. Announces Filing of Quarterly Report on Form 10‑Q
Verses AI Inc. (OTCQB: VRSSF) reported today that it has filed its Quarterly Report on Form 10‑Q with the U.S. Securities and Exchange Commission for the three‑month and nine‑month periods ended December 31, 2025. The filing was made on February 20, 2026 and is available on the SEC website as well as on the company’s own website, https://www.verses.ai .
Key Details from the Filing
Reporting Periods Covered
Three‑month period ended December 31, 2025
Nine‑month period ended December 31, 2025
Management Commentary James Christodoulou, Chief Financial Officer, noted that the company will review the results from these periods during an earnings call scheduled for February 24, 2026 at 1:00 PM Eastern Time. The call will be hosted by management and will be streamed live over the Internet.
Access to the Report Investors and analysts can view the full Quarterly Report on the SEC’s website or download it directly from the Verses AI Investor Relations portal.
Company Overview
Verses AI Inc. is a cognitive computing company focused on developing next‑generation agentic software systems. Its flagship product, Genius™, is an agentic enterprise intelligence platform that generates reliable, domain‑specific predictions and decisions under uncertainty. The company describes its approach as being inspired by natural wisdom and science, with an emphasis on first‑principle design drawn from physics and biology.
Investor Contact Information
- Investor Relations – James Christodoulou, Chief Financial Officer, ir@verses.ai , +1 (212) 970‑8889
- Press Inquiries – press@verses.ai
Forward‑Looking Statements
The release contains forward‑looking statements regarding the company’s robotics models and their potential impact across industries. These statements are subject to risks and uncertainties that could cause actual outcomes to differ materially from those expressed or implied.
This article is based solely on the information provided in the news releases and the company’s fundamental data.




