Summary of VERSES AI Webinar (February 18, 2026) Company Overview - **Company**: VERSES AI (NasdaqCM: VRSS.D) - **Industry**: Artificial Intelligence, specifically focusing on financial services Key Points and Arguments Leadership Changes - Recent leadership changes were announced, with Gabriel René, Dan Mapes, and Kevin Wilson no longer with the company. Dave Scott has stepped in as Interim CEO while a search for a permanent CEO is conducted [4][5][6] Focus on Financial Services - The company is shifting its focus towards financial services, particularly in portfolio management, as it represents a significant market opportunity within the multi-trillion dollar global asset management sector [21][22] - Financial services have shown strong interest in AI for automating processes, but existing systems struggle with reliability and accuracy [20][23] Technology and Product Development - VERSES has developed an AI platform called Axium, based on the principles of human brain function, which has shown promising results in various tests, including outperforming Google's DeepMind in video game benchmarks [15][16] - The company is now applying its technology in real-world scenarios, particularly in financial services, with a focus on enhancing decision-making processes for portfolio managers [19][24] Market Opportunity - The financial services market is viewed as a compelling near-term opportunity, with a focus on improving risk-adjusted returns for portfolio management [21][22] - A 1% improvement on a $100 million portfolio can justify significant investments in better decision support systems [21] Commercialization Strategy - The company plans to pursue a "land and expand" strategy with existing financial services customers, targeting institutions with over $100 million in assets under management [24][25] - A hybrid business model is anticipated, starting with service and implementation components, transitioning towards recurring software licenses as the platform becomes embedded [25][26] Operational Focus - The Interim CEO emphasized the need for operational rigor, financial discipline, and a clear communication strategy moving forward [12][13] - The company aims to maintain disciplined execution with current enterprise customers and expand thoughtfully within financial services [26] Investor Communication - The company is committed to improving communication with investors, with an earnings call scheduled for February 24, 2026, to discuss financial results [5][39] Additional Important Information - The company acknowledges the foundational work of Professor Karl Friston, whose research underpins the technology being developed at VERSES [10][11] - Ongoing legal matters were mentioned, but specific details could not be disclosed [33] - The company maintains a fully remote workforce, allowing for a diverse talent pool [34] This summary encapsulates the key points discussed during the VERSES AI webinar, highlighting the company's strategic direction, technological advancements, and market opportunities in the financial services sector.

Core Insights - VERSES AI Inc. has been issued a patent for a novel method and system that enables software agents to generate predictions and perform domain-specific tasks using natural language [2][3] Company Overview - VERSES is a cognitive computing company focused on developing next-generation agentic software systems inspired by natural principles [4] - The flagship product, Genius™, is designed to provide reliable domain-specific predictions and decisions under uncertainty [4] Patent Details - The patent titled "A Method and System for Specifying an Active Inference based agent using Natural Language" represents a significant advancement in the design of domain models [2] - The technology aims to make intelligent agents more powerful and accessible for enterprises [3]

Core Insights - VERSES AI Inc. is sponsoring the 6th annual International Workshop on Active Inference (IWAI), which focuses on advancing research in Active Inference and related fields [1][2] - The workshop will take place from October 15-17 at McGill University in Montreal, providing a platform for global researchers to connect and share insights [3] - VERSES researchers are actively contributing to the workshop with seven full papers and six poster presentations covering various topics including robotics and machine vision [3] Company Overview - VERSES is a cognitive computing company that develops next-generation agentic software systems inspired by natural principles [4] - The flagship product, Genius™, is designed to generate reliable domain-specific predictions and decisions under uncertainty [4] Industry Context - Active Inference is emerging as a key component of next-generation AI, with significant contributions from leading organizations such as Waymo and Mila [2] - The workshop aims to explore three core streams of Active Inference and Bayesian Brain research, highlighting the interdisciplinary nature of the field [3]

Core Viewpoint - VERSES AI Inc. is focused on developing next-generation cognitive computing systems, emphasizing the unique approach of their technology compared to mainstream AI solutions, particularly in enterprise applications [2][3][4]. Company Overview - VERSES AI Inc. is a cognitive computing company that aims to create intelligent software systems inspired by nature, with their flagship product being Genius™, designed for reliable predictions and decisions under uncertainty [15]. Technology and Innovation - The company has introduced AXIOM, described as the world's first digital brain, which integrates modules for vision, memory, prediction, and reasoning, demonstrating higher reliability and efficiency compared to existing models [8]. - The approach of VERSES is based on the concept of active inference, which mimics human cognitive processes, allowing for real-world testing and adaptation of models [5][6][7]. Market Position and Adoption - Despite the rapid adoption of some AI technologies, enterprise AI adoption remains slow, attributed to the limitations of Large Language Models (LLMs) in performing reliable business tasks [3]. - The company has begun selling its product Genius™ to enterprise customers, with notable use cases in financial market modeling and fleet management optimization, indicating practical applications of their technology [11][12]. Recognition and Future Directions - VERSES has gained recognition in the media, with endorsements from industry experts highlighting the originality and potential impact of their approach on achieving Artificial General Intelligence (AGI) [13]. - The company is exploring robotics as an emerging frontier, showcasing early progress in enabling robots to perform complex tasks without prior training [14].

Core Insights - VERSES AI Inc. has been recognized by Gartner as a Sample Vendor in the Hype Cycle for Artificial Intelligence, 2025, highlighting its innovative approach in the cognitive computing sector [1][2] - The company has also been acknowledged in separate reports for Spatial Computing and Active Inference, indicating a broad recognition of its technology [2] - CEO Gabriel René emphasized the demand from enterprises for reliable, domain-specific AI models, which aligns with the capabilities of their flagship product, Genius™ [3] Company Overview - VERSES is a cognitive computing company focused on developing next-generation intelligent software systems inspired by natural principles [4] - The flagship product, Genius™, is designed to provide reliable domain-specific predictions and decisions under uncertainty, aiming to enhance human potential through technology [4] Industry Context - Gartner's Hype Cycle provides a framework for understanding the maturity and adoption of technologies, which is crucial for businesses looking to leverage AI solutions [2] - The recognition by Gartner reflects the growing importance of reliable AI systems in addressing real business challenges and opportunities [2][3]

Core Insights - VERSES AI Inc. has received significant recognition for its AXIOM digital-brain architecture, being featured in WIRED and Popular Mechanics, and acknowledged by ARC-AGI benchmark creator François Chollet [1][2][3] Group 1: AXIOM's Recognition and Features - WIRED describes AXIOM as a "new machine-learning approach" inspired by human brain functions, offering an alternative to traditional artificial neural networks and demonstrating "impressive efficiency" in various video-game environments [2] - François Chollet commended the originality of VERSES' approach, emphasizing its alignment with critical problems in the pursuit of AGI and highlighting the importance of active inference in AI development [3] - Popular Mechanics characterized AXIOM as a potential game-changer in intelligence, noting that the Genius product suite operates on significantly less power compared to existing AI systems, thus enhancing its adaptability and efficiency [7] Group 2: Performance Metrics - AXIOM's Active-Inference engine has shown superior capabilities, outperforming Google DeepMind's DreamerV3 by up to 60%, utilizing 99% less compute power, and learning 39 times faster, as validated by Soothsayer Analytics [6] - The upcoming ARC-AGI 3 benchmark will introduce over 100 novel game worlds to assess AI systems, reflecting a shift towards interactive environments that challenge agents to explore and generalize [5] Group 3: Company Vision and Goals - The CEO of VERSES stated that AXIOM is designed for interactive intelligence, enabling real-time exploration, planning, and learning, which positions the company as a potential market leader in the pursuit of human-level AI [7][9]

Core Insights - VERSES AI Inc. has introduced a new digital brain architecture named AXIOM, which reportedly outperforms Google DeepMind's DreamerV3 in various benchmarks, showcasing significant advancements in artificial intelligence [1][2][3] Performance Metrics - AXIOM achieved a normalized performance score of 77, which is 60% better than DreamerV3's score of 48 [8] - The model is 7.6 times more sample-efficient, learning in 3,175 steps compared to DreamerV3's 24,207 steps [8] - AXIOM runs 39 times faster in GPU runtime, taking approximately 10 minutes versus DreamerV3's 370 minutes [8] - The estimated GPU cost for running AXIOM is $0.66, making it 12 times cheaper than DreamerV3, which costs about $25.54 [8] - AXIOM's model size is 400 times smaller, with 0.95 million parameters compared to DreamerV3's 420 million parameters [8] Development and Validation - AXIOM is developed by Professor Karl Friston, a leading neuroscientist, aiming to mimic the modular structure and dynamic processes of the human brain [4] - The model integrates Variational Bayesian Inference with Active Inference, allowing for more human-like learning with fewer interactions and faster convergence [6] - Third-party validation of AXIOM's performance was conducted by Soothsayer Analytics, confirming its significant gains over leading deep reinforcement learning models [5][6] Implications for AI - The introduction of AXIOM represents a shift towards AI that learns in real-time rather than relying on past data, which aligns with the company's mission to create more effective and trustworthy AI solutions [10] - The model's ability to generalize from fewer examples mirrors human cognition, making it suitable for complex, real-world environments [9]