10-K: VERSES AI Reports Steep Revenue Decline and Continued Losses Amidst Product Launch and Capital Raises

VERSES AI Inc. announced a significant 92% drop in revenue for the fiscal year ended March 31, 2025, alongside a persistent net loss and substantial doubt about its ability to continue as a going concern, despite launching its flagship AI product 'Genius' and securing over $37 million in financing.

Summary

• Revenue decreased by 92% to $155,000 for the fiscal year ended March 31, 2025, down from $1,966,731 in the prior year, primarily due to the termination of a SaaS contract.
• Net revenue turned negative, falling by 278% to a deficit of $476,691, compared to a positive $267,561 in the previous year.
• Net loss decreased by 17% to $43.00 million for the year, down from $52.10 million, largely due to a significant reduction in legal claim expenses.
• Cash used in operating activities increased by $3.50 million to $33.10 million, driven by higher cash used to settle accounts payable and increased adjusted losses.
• The company reported a working capital deficit of $8.92 million as of March 31, 2025, an improvement from $11.87 million in the prior year.
• Cash balance increased to $4.82 million from $0.89 million, primarily due to $37.66 million in cash provided by financing activities.
• The company successfully raised approximately $7.9 million (CAD$11.0 million) in a registered securities offering on April 28, 2025, and $7.0 million (CAD$9.57 million) in a public offering on July 11, 2025.
• A one-for-three reverse stock split of Class A Subordinate Voting Shares was effectuated on June 23, 2025.
• The company launched its flagship AI product, 'Genius,' in April 2025, targeting machine learning and data science professionals for enterprise problem-solving.
• The independent registered public accounting firm expressed substantial doubt about the company's ability to continue as a going concern without additional capital.
• Identified material weaknesses in internal controls include insufficient written policies for GAAP/SEC compliance, potential lack of segregation of duties due to company size, and limited written procedures for related-party transactions.

Sentiment

Score: 3

Explanation: The sentiment is negative due to a severe revenue decline, negative net revenue, increasing operational cash burn, and the auditor's going concern warning. While the company successfully raised significant capital and launched a new product, these positives are overshadowed by the fundamental financial challenges and the high-risk nature of its early-stage business model, which relies heavily on continuous external funding to sustain operations and development.

Positives

• Successful launch of 'Genius' in April 2025, designed for agentic intelligence in enterprises, with initial target audiences in machine learning and data science.
• Announced new customers and resellers in smart cities (Analog), financial services, workforce scheduling, IT consulting, and manufacturing since the launch of Genius.
• Secured significant capital through multiple offerings, including $7.9 million in April 2025 and $7.0 million in July 2025, improving cash position to $4.82 million.
• Received a Notice of Allowance from the USPTO for a non-provisional patent application titled 'METHOD AND SYSTEM FOR SPECIFYING AN ACTIVE INFERENCE BASED AGENT USING NATURAL LANGUAGE,' which is expected to be the company's first patent.
• Maintains a strong R&D team led by Chief Scientist Professor Karl Friston, specializing in computational neuroscience and active inference, providing competitive advantages in explainability, accuracy for physical systems, and efficiency.
• Active participation in developing the IEEE P2874 Spatial Web Standard, aiming for interoperability and trust in intelligent agents, which is expected to lower development and integration costs for customers.

Negatives

• Revenue decreased by 92% to $155,000 for the fiscal year ended March 31, 2025, primarily due to the termination of a SaaS contract.
• Net revenue became negative at $(476,691), a 278% decrease from the prior year, indicating that cost of revenue exceeded revenue.
• Cash used in operating activities increased by $3.50 million to $33.10 million, highlighting continued and growing operational cash burn.
• The independent registered public accounting firm expressed substantial doubt about the company's ability to continue as a going concern.
• Identified material weaknesses in internal controls over financial reporting, including insufficient written policies for GAAP/SEC compliance, potential lack of segregation of duties, and limited procedures for related-party transactions.
• Incurred a legal claim expense of $9.92 million in the prior year, with an additional $817,787 in interest accrued on the award in the current year, resulting in a net income of $0.85 million from legal claims due to an insurance payment.
• Provision for losses on related party transactions amounted to $479,808, reflecting significant uncertainty regarding the collectability of receivables from entities controlled or associated with the company's founders.

Risks

• Limited operating history and uncertainties associated with new business enterprises, including under-capitalization and cash shortages.
• Dependence on obtaining substantial additional capital to fund operations, with no assurance of availability or favorable terms, potentially leading to dilution.
• Recurring negative cash flows from operating activities since inception, requiring continuous external financing.
• Substantial doubt about the ability to continue as a going concern, as expressed by the independent registered public accounting firm.
• Inability to successfully implement growth strategy, including expanding customer base, retaining qualified staff, protecting intellectual property, and enhancing products.
• Reliance on securing and protecting critical intellectual property, with no currently issued patents and uncertainty regarding future patent grants or enforceability.
• Potential conflicts of interest involving officers and directors who also hold positions in other companies.
• High costs and complexity of continuous development, maintenance, and operation of AI products, with risks of unforeseen difficulties, defects, and potential legal/regulatory liability from unintentional bias or discrimination.
• Challenges in managing growth, including demands on operational infrastructure, scalability of 'Genius,' and maintaining corporate culture.
• Reliance on strategic partnerships with third parties (e.g., data center hosting, cloud providers) for core functionality, with risks if these relationships are not maintained.
• Exposure to cybersecurity threats, security breaches, and information system damage or interruption, which could harm business and reputation.
• Risk of software errors or defects in 'Genius' and related applications leading to customer dissatisfaction, losses, and reputational damage.
• Insufficient insurance coverage for liabilities, potentially leading to substantial damage awards.
• Dependence on maintaining and enhancing brand reputation in a highly competitive industry with larger, better-capitalized competitors.
• Adverse impact from changes in internet and mobile device accessibility or regulations affecting internet use.
• Risk that new technologies or industry standards could render existing software products less competitive or obsolete.
• Inaccurate market opportunity estimates and growth forecasts, potentially leading to a failure in demand for services.
• Reputational damage caused by negative publicity, especially with increased social media usage.
• Increased regulatory and compliance costs due to loss of foreign private issuer status and becoming a U.S. domestic issuer.
• Dependence on key management and personnel, with risks if they are lost or if additional qualified personnel cannot be hired.
• Failure to comply with evolving government regulations related to AI, data use, and high-risk applications.
• Risk of litigation, including ongoing legal proceedings, which can be costly and divert resources.
• Volatility in the market price of Class A Subordinate Voting Shares due to various factors, including sales by shareholders, financing efforts, and industry conditions.
• Risks associated with future acquisitions, including diversion of management attention, integration difficulties, and potential dilution.
• Unstable market and economic conditions, including liquidity risk from cash balances held in Canadian financial institutions exceeding insured limits.
• Future sales and issuances of securities could result in additional dilution for existing shareholders.
• No intention to pay cash dividends, limiting shareholder returns to share price appreciation.
• Reduced disclosure requirements as a smaller reporting company may make shares less attractive to investors.
• Trading on OTCQB and Cboe may have an unfavorable impact on share price and liquidity due to limited markets and potential for abuses.
• Lack of research or unfavorable reports from securities or industry analysts could negatively impact stock price and trading volume.
• Financial reporting obligations as a public company are expensive and time-consuming, requiring substantial management time.
• Failure to maintain effective internal controls could lead to inaccurate financial reporting or fraud, affecting investor confidence.

Future Outlook

The company anticipates offering multiple subscription tiers for its 'Genius' platform, with pricing informed by performance metrics gathered during the beta program. It believes civilization is transitioning to the intelligence age and aims to be a leader in this transition by building tools for the Spatial Web. The long-term vision includes hosting a marketplace for third-party developers to offer 'Genius'-powered agents and applications, and potentially developing first-party applications for additional monetization. The company may also pursue strategic and accretive M&A opportunities to expand customer relationships, accelerate AI tools, and leverage infrastructure. The company will continue to rely on investor support and additional financing to fund operations and meet growth objectives.

Management Comments

• "We believe civilization is transitioning from the information age to the intelligence age."
• "Our strategy has been different to LLM companies, and draws inspiration from human intelligence and the human brain, which has evolved to be efficient at thriving in our world."
• "We believe that our approach gives us a competitive advantage in several key areas: Product advantage, Technical advantage, Efficiency advantage."
• "We believe Genius allows our customers to accelerate time-to-value for machine learning researchers, engineers and data scientists working on enterprise-class challenges."
• "It is the intention that Genius serve various roles for different end users in many different markets."
• "Over the long-term, we believe there is an opportunity for hosting a marketplace where third party developers and software engineers can offer agents, connectors, and applications powered by Genius."
• "We may discover the need or opportunity to develop first party applications powered by Genius which may simply enhance the attractiveness of the platform or may be an opportunity for additional monetization."
• "From time to time, we may identify acquisition opportunities that are in similar verticals to us that could have a number of benefits including: expanding customer relationships, accelerating AI tools and leveraging additional AI infrastructure."
• "We have no plans to use any personally-identifiable-information or other form sensitive data to train our systems, and we intend to avoid storing and/or processing any personally-identifiable-information or other sensitive information about or from members of the public to the fullest extent possible."
• "Management plans to fund operations of the Company with its current working capital and through additional equity and/or debt financings. Management believes that this plan provides an opportunity for the Company to continue as a going concern."

Industry Context

VERSES AI operates in the rapidly evolving and competitive artificial intelligence industry, positioning itself as a cognitive computing company specializing in next-generation intelligence software systems, distinct from mainstream Generative AI approaches like OpenAI's ChatGPT or Google's Gemini. The company's 'Genius' platform, inspired by human intelligence and the brain's active inference process, aims to address challenges in the AI industry such as unreliability, technological limitations (pattern recognition vs. understanding/reasoning), narrow applicability, lack of interoperability, and high development costs of current models. By focusing on explainable, efficient, and adaptable AI grounded in real-world physics, VERSES seeks to gain a competitive edge in enterprise applications, particularly where uncertainty and hidden factors are prevalent. The company's emphasis on the IEEE P2874 Spatial Web Standard also highlights its commitment to interoperability and trust in a distributed network of intelligences, contrasting with the monolithic AI brain concept.

Comparison to Industry Standards

• VERSES AI directly or indirectly competes with leading AI companies such as Scale AI, OpenAI, Anthropic, Cohere, C3 AI, and Mistral, all of which primarily employ generative AI approaches.
• The company claims its 'Genius' platform, based on active inference, is 'more reliable and dramatically more efficient than other top models' in benchmarking AXIOM, its digital brain, though specific comparative metrics against named competitors are not provided.
• VERSES differentiates its approach by focusing on explainable AI, accurate modeling of physical and biological systems, and efficiency in power consumption and speed, contrasting with the data-intensive and less adaptable nature of traditional Deep Learning and Reinforcement Learning models.
• The company's development of 'Genius' to enable 'agentic intelligence' for enterprises aims to solve problems requiring prediction under uncertainty, a niche that may offer a competitive advantage over general-purpose generative AI models.
• The company's collaboration on the IEEE P2874 Spatial Web Standard is a strategic move to address interoperability and trust, which are recognized challenges in the broader digital transformation and IoT landscape, potentially offering quicker development and lower integration costs for customers compared to fragmented solutions.

Management Changes

Corporate Governance

Legal Proceedings

• David Thomson Lawsuit: A former independent contractor filed a claim against VTU, Cyberlab LLC, and two directors/officers on July 13, 2022, alleging breach of contract, trade secret misappropriation, and other violations, seeking up to $5,000,000 in damages. A final arbitration award on May 17, 2024, imposed liability of $6,307,258 (inclusive of interest) against VTU and Cyberlab LLC, and an additional $1,900,000 in damages, $709,973 in interest, $64,303 in costs, and $920,231 in legal fees against Cyberlab LLC, VTU, Gabriel Ren, and Dan Mapes jointly and severally. The total award was confirmed by the Los Angeles Superior Court on May 8, 2025, for approximately $9,900,000 million plus accrued interest. The company recorded the full amount as an expense in fiscal year 2024, and in fiscal year 2025, recorded $1,666,000 in insurance proceeds as income, partially offset by $817,787 in accrued interest.
• Former Employee Complaint: A former employee filed a complaint on June 21, 2024, against VERSES, Inc. (VINC) and one employee, alleging gender harassment, discrimination, retaliation, and wrongful termination, seeking up to $3,500,000 in damages. VINC disputes the allegations and is prepared to defend itself. The court denied VINC's motion to compel arbitration, citing the EFAA, and assigned a trial date of July 10, 2026. Informal mediation is scheduled, with a status conference on September 15, 2025.

Related Party Transactions

• Management fees paid to Board members increased by 257% to $146,666 in 2025, primarily due to higher fees paid to the new Chairman, Michael Blum.
• Management salaries and benefits included in personnel expenses increased to $1,719,195 in 2025 from $1,338,762 in 2024.
• Share-based payments to related parties amounted to $655,145 in 2025, down from $720,222 in 2024.
• Amounts totaling $105,799 were due to James Hendrickson (COO), Michael Blum (Chairman), and Kevin Wilson (CAO) as of March 31, 2025.
• An unsecured loan of $68,080 (March 31, 2025) to a key member of the management team, with a 5% annual interest rate, requires full repayment by May 1, 2033. No repayments were made in 2025.
• Provision for losses on related party transactions of $479,808 in 2025 (down from $1,872,334 in 2024) relates to amounts due from Cyberlab LLC and the Spatial Web Foundation (SWF), entities controlled or associated with founders Dan Mapes and Gabriel Ren. These expenses primarily cover legal defense costs and professional services paid by the company on behalf of these related parties, with significant uncertainty regarding collectability.
• The company has an obligation to pay royalties to Cyberlab LLC (controlled by Dan Mapes) from Spatial Domain Names gross revenue, ranging from 5% in years 1-10 down to 1% in years 20-25. No amounts were payable as of March 31, 2025.

Stakeholder Impact

• Shareholders: Face significant dilution risk from ongoing equity financings, as well as potential volatility in share price due to financial performance, going concern doubts, and legal proceedings. Returns are limited to share price appreciation as no dividends are planned.
• Employees: Subject to changes in management roles and compensation structures. The company's ability to attract and retain skilled personnel is crucial for its growth strategy. Severance agreements are in place for key executives in case of involuntary termination or change of control.
• Customers: The launch of 'Genius' and focus on enterprise solutions aims to provide smarter, safer, and more sustainable applications. However, software errors or defects could lead to dissatisfaction and impact business relationships. The termination of a SaaS contract indicates past customer relationship challenges.
• Suppliers/Creditors: The company's negative cash flow from operations and reliance on external financing pose liquidity risks. The working capital deficit and legal liabilities could affect the company's ability to meet financial obligations.
• Regulatory Bodies: The company's loss of foreign private issuer status and identified material weaknesses in internal controls will increase regulatory scrutiny and compliance burden. Ongoing legal proceedings also involve regulatory aspects.

Next Steps

• Continue to develop and add functionality to the 'Genius' platform.
• Market 'Genius' to developers as a Software-as-a-Service (SaaS) with multiple subscription tiers.
• Work closely with domain experts, consultants, and resellers in various verticals to demonstrate 'Genius's' versatility and applicability.
• Explore opportunities for hosting a marketplace where third-party developers can offer 'Genius'-powered agents, connectors, and applications.
• Potentially develop first-party applications powered by 'Genius' for additional monetization.
• Identify and pursue strategic and accretive M&A opportunities to expand customer relationships, accelerate AI tools, and leverage additional AI infrastructure.
• Remediate identified material weaknesses in internal controls by reviewing and updating internal policies and human resources allocations.
• Continue to seek additional financing through equity and/or debt to fund operations and meet planned growth objectives.
• Monitor and adjust the provision for estimated loss under the Analog-VERSES Framework Agreement as new information becomes available.
• Engage in informal mediation for the legal proceeding with the former employee, with a post-mediation status conference scheduled for September 15, 2025.
• Prepare for the trial date of July 10, 2026, for the former employee's complaint.

Key Dates

Recommendation

Keywords

AI, Artificial Intelligence, Genius, Spatial Web, SaaS, Software as a Service, Cognitive Computing, Agentic Intelligence, Machine Learning, Data Science, Active Inference, SEC Filing, 10-K, Financial Reporting, Corporate Governance, Risk Management, Capital Raise, Public Offering, Reverse Stock Split, Intellectual Property, Patent, Trademark, Cybersecurity, Legal Proceedings, Going Concern, Financial Performance, Revenue, Net Loss, Cash Flow, Operating Expenses, Share-based Payments, Related Party Transactions