Core Insights - The main users of Infra software are shifting from human developers to AI Agents, indicating a fundamental change in infrastructure requirements for AI applications [1] - The rise of "agent-native" infrastructure is predicted by 2026, necessitating platforms that can handle a massive influx of tool executions and adapt to new operational paradigms [1][2] - Current infrastructure is still designed for human-centric operations, lacking the necessary compatibility and optimization for AI Agents [1] Group 1: Infrastructure Requirements - The architecture of existing systems is based on a 1:1 response model, which is inadequate for the recursive task management required by AI Agents [1] - Future systems must address issues like cold start times, latency fluctuations, and concurrency limits to support the operational demands of AI Agents [1] - The transition from traditional software engineering to agent-based systems introduces a new level of complexity, where failures are often due to misinterpretations of developer intent rather than code bugs [4][6] Group 2: Agent Infrastructure Challenges - The definition and boundaries of Agent Infrastructure are not yet fully established, with varying complexities depending on the application scenario [11] - Common challenges include security, execution environment, and memory management, which are critical for the safe operation of autonomous Agents [12][13] - The need for a sandbox environment to limit the operational scope of Agents is emphasized, ensuring they operate within predefined boundaries to mitigate risks [12] Group 3: Application Scenarios - Current popular applications of AI Agents include customer service, research, and data analysis, with specific functionalities like coding and data processing being heavily utilized [17][18] - The cloud-based execution of code in a sandbox environment enhances security and scalability, allowing for safe and efficient operations [18] - The demand for seamless API compatibility is crucial for developers, as inconsistent APIs can hinder user experience and integration [20] Group 4: Future Opportunities - The democratization of computing through AI Agents opens new business models that were previously unfeasible due to high costs [26] - Key future focuses for Agent Infrastructure include enhancing debuggability, memory management, and low-latency performance to support more natural interactions [27][29] - The evolution of Agent Infrastructure is expected to transition from merely supporting Agent deployment to enabling intelligent evolution based on real-world data and performance feedback [31][32]

Financial Data and Key Metrics Changes - Total revenue for Q3 2025 was $317 million, representing a 26% increase year-over-year [9] - Non-GAAP operating income reached a record $47.5 million, up from $32.2 million in Q3 2024, with an operating margin of 15% [10] - Net income was a record $61.9 million, compared to $45 million in Q3 2024, with diluted net income per share at $1.16 [10] - Gross margin for Q3 was 90%, with expectations for medium to long-term gross margin in the high 80s range [9][10] - Adjusted free cash flow for Q3 was $92.3 million, with an adjusted free cash flow margin of 29% [11] Business Line Data and Key Metrics Changes - New products accounted for over 10% of total ARR, surpassing the 2025 goal ahead of schedule [6] - The new AI-powered Monday Campaigns product saw rapid adoption since its launch in September [7] - Monday Vibe has led to the creation of over 60,000 apps, indicating strong customer engagement [7] Market Data and Key Metrics Changes - The company reported robust net additions of over 100,000 paying customers, totaling over 500,000 [4] - The overall net dollar retention (NDR) was 111% in Q3, with expectations to remain stable for fiscal year 2025 [9] Company Strategy and Development Direction - The company is focused on transitioning to a multi-product and AI-powered platform, aiming for a revenue target of $1.8 billion by FY2027 [4][5] - Investments are being rebalanced towards mid-funnel channels to target larger opportunities, despite longer sales cycles [6] - The introduction of product bundles aims to provide a unified experience and accelerate cross-sell momentum [6][39] Management's Comments on Operating Environment and Future Outlook - Management noted healthy demand across all customer segments, particularly for AI features and products [18] - The company is optimistic about the future, citing strong customer engagement and a healthy pipeline heading into 2026 [5][20] - There is confidence in achieving the $1.8 billion revenue target for FY2027, supported by trends in customer expansion and product adoption [75] Other Important Information - The company ended Q3 with $1.53 billion in cash and cash equivalents, down from $1.59 billion at the end of Q2 [11] - Employee headcount increased to 3,018, with expectations for a 30% growth in fiscal year 2025 [10] Q&A Session Summary Question: Customer spending priorities for 2026 - Management observed a transition in customer demand across all segments, with increased interest in AI features and products [17] Question: Impact of go-to-market transition on results - The transition towards larger deals is yielding higher quality pipelines, although it comes with longer sales cycles [19] Question: Dynamics of deferred revenue - Management clarified that deferred revenue is not a perfect measurement due to cash basis accounting, and RPO is a better metric for future growth visibility [26] Question: Guidance for 2026 - Initial expectations for fiscal year 2026 will be provided in the next quarter, with confidence in achieving the $1.8 billion target by FY2027 [27][75] Question: Investment focus for 2026 - The company plans to moderate headcount growth and focus investments on sales, product, and R&D [34] Question: Adoption of AI products - Early traction has been noted for AI offerings, with significant customer engagement and use cases emerging [56][59] Question: Performance marketing channel dynamics - Management reported stabilization in new sign-ups and top-of-funnel activity, with a shift towards higher ROI channels [65] Question: RPO metric adjustments - Adjustments to the RPO metric were made for consistency and accuracy following auditor reviews [86]

Core Insights - VERSES AI Inc. has signed Kalosys as an enterprise customer, aiming to enhance IT workforce scheduling and productivity through the Genius platform [1][2] - Kalosys plans to expand its Agent Factory solution to provide adaptive workforce solutions and co-intelligence capabilities, utilizing over 30 advanced AI agents [2][3] - The collaboration aims to address the complexities of large-scale workforce scheduling, improving resource utilization and reducing costs [3] Company Overview - VERSES is a cognitive computing company focused on developing intelligent software systems inspired by natural principles, with its flagship product being the Genius platform [4] - Kalosys, with over 20 years of experience, specializes in IT consulting and aims to empower organizations through AI-driven solutions [5] Strategic Goals - The partnership between VERSES and Kalosys is designed to transition organizations from generic AI to domain-specific intelligence that adapts to business needs [3][5] - The Genius platform is expected to enable real-time scheduling that matches the right talent to changing project requirements, enhancing productivity and growth [2][3]