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Avidan reported total ARR grew 11% year over year to $251 million, accelerating from 8% growth in the prior quarter, with cloud ARR cited as the “primary catalyst” behind the mix shift. Subscription revenue grew 21% year over year, which Zisapel described as a sharp acceleration from 12% growth in 2024, driven by both cloud momentum and product subscription demand.Management emphasized cloud security as a key driver of performance. Zisapel said cloud ARR rose 23% year over year and 7% sequentially to $95 mi ...

Financial Data and Key Metrics Changes - RADCOM achieved a record revenue of $71.5 million for 2025, representing a 17.2% year-over-year growth, exceeding the guidance of 15%-18% [5][22] - GAAP earnings per share increased by over 65% year-over-year, reaching $1.09 per diluted share [5][22] - The company reported a cash and short-term deposit balance of $109.9 million, with no debt, marking the highest in its history [5][24] - Gross margin for the fourth quarter was 77.6%, the highest since 2018, while the full year gross margin was 76.8%, up from 75.2% in 2024 [20][22] Business Line Data and Key Metrics Changes - In Q4 2025, RADCOM's revenue was $18.9 million, up 16% year-over-year [20] - Operating income for Q4 reached $4.3 million, with an operating margin of 23%, the highest in eight years [20] - R&D expenses for Q4 were $4.9 million, reflecting a 16.2% year-over-year increase, indicating a focus on innovation [21] Market Data and Key Metrics Changes - A GSMA survey indicated that 71% of operators plan to implement Agentic AI in 2026, highlighting a significant market opportunity [8] - The demand for AI-driven solutions is reshaping network priorities, with operators increasingly integrating AI across network layers [9] Company Strategy and Development Direction - RADCOM aims to expand its tier-one customer base and is actively engaged with new prospects, expecting revenue growth of 8%-12% in 2026 [6][17] - The company is committed to product innovation and R&D investments, particularly in 5G service assurance and Agentic AI capabilities [7][17] - Strategic partnerships with NVIDIA and ServiceNow are being deepened to enhance product offerings and market presence [13][14] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's ability to execute its growth strategy, supported by a strong balance sheet and operational efficiency [7][18] - The company anticipates another year of double-digit revenue growth in 2026, driven by a robust pipeline of opportunities [17][18] Other Important Information - RADCOM was recognized in the Fast Mode 100 for 2025 and received multiple awards for innovation, reinforcing its competitive differentiation [15] - A governance update was provided, with Rami Schwartz appointed as chairman of the board effective February 2026 [15][16] Q&A Session Summary Question: How should RADCOM think about capital allocation in 2026, especially regarding M&A? - Management indicated that M&A remains a top priority and is being accelerated [25] Question: Any changes in the guidance philosophy and assumptions for the 2026 guidance? - Management noted that they are in the second half of their sales cycle, leaving guidance at 8%-12% with expectations to close in the first half of the year [26] Question: What are the key drivers for expanding business with existing customers like AT&T? - Management highlighted that Agentic AI is driving many opportunities, with unique datasets helping customers improve operational efficiencies [27] Question: How critical is Agentic AI for breaking into new accounts? - Management stated that both analytics capabilities and Agentic AI are critical for driving opportunities and expanding within existing customers [28] Question: What architecture is being used for data collection? - Management confirmed the use of both NVIDIA-based standard servers and cloud-native solutions, asserting their product's efficiency compared to competitors [28] Question: Are there any further questions? - No further questions were raised, concluding the call [29]

Core Viewpoint - Both Micron Technology and Microsoft are positioned for potential rebounds despite recent declines in their stock prices, with Micron benefiting from strong demand for high-bandwidth memory and Microsoft facing challenges but maintaining a strong overall business outlook [1][2]. Micron Technology - Micron is experiencing a significant demand for high-bandwidth memory (HBM), with its entire 2026 HBM supply already sold out, indicating robust market conditions [5]. - The total addressable market for HBM is projected to grow at a compound annual growth rate of approximately 40%, expanding from $35 billion in 2025 to $100 billion by 2028 [5]. - Micron's shares are currently trading at a low valuation of 12 times forward earnings, which may present an opportunity for substantial growth if the company achieves strong revenue and earnings growth in the upcoming quarters [8]. - The demand for DRAM and NAND memory is also strong, leading Micron to negotiate multi-year supply agreements, which is a shift from past practices [7]. Microsoft - Microsoft is currently valued at a historically low earnings multiple, despite being a leader in the cloud sector [9]. - The company has faced challenges, including lower-than-expected revenue growth in its Azure cloud unit and increased capital expenditures, which have raised concerns among analysts [10]. - Competition is intensifying, particularly with the adoption of Microsoft 365 Copilot not meeting expectations and rival AI models gaining traction [11]. - Despite these challenges, Microsoft's business remains strong across various sectors, with CEO Satya Nadella highlighting the significant growth potential in AI diffusion and the total addressable market [13]. - Over the long term, Microsoft is expected to be a more significant winner, as historical trends show that buying Microsoft shares during significant declines has been rewarding for long-term investors [15].

Core Insights - Feeling AI's CodeBrain-1 has achieved a remarkable second place in the Terminal-Bench 2.0 ranking, just behind OpenAI's latest flagship model, indicating a significant advancement in China's capabilities in Agentic AI and autonomous coding [1][6][27] - The competition between AI giants has shifted from mere parameter optimization to practical application in real-world scenarios, emphasizing the importance of model architecture and long-term operational sustainability [4][10] Company Performance - CodeBrain-1 scored 72.9% in the Agentic Terminal Coding Task, showcasing its superior coding capabilities, while OpenAI's 5.3-Codex achieved a score of 77.3% [4][11] - Feeling AI's recent release of MemBrain 1.0 has set new SOTA records in various memory benchmarks, significantly outperforming existing systems [8][10] Technological Advancements - CodeBrain-1 focuses on two critical aspects: Useful Context Searching and Validation Feedback, which enhance task completion efficiency and error correction [14][16] - The model's ability to dynamically adjust plans and strategies allows it to operate effectively in real terminal environments, improving success rates in task execution [16][25] Market Positioning - The Terminal-Bench 2.0 serves as a rigorous benchmark for AI models, requiring them to perform complex tasks in a closed-loop environment, which distinguishes it from traditional coding tests [21][22] - Feeling AI's performance in this competitive landscape highlights the potential for Chinese teams to redefine engineering standards in AI, positioning them as key players in the global market [27][28]

Core Insights - Salesforce (CRM) has experienced a decline of approximately 25% since the last analysis, primarily due to concerns regarding Software as a Service (SaaS) in the context of the rise of agentic AI [1] Company Analysis - The company is facing challenges related to the proliferation of agentic AI, which has raised concerns within the SaaS sector [1]

Teradata (NYSE:TDC) Q4 2025 Earnings call February 10, 2026 04:30 PM ET Company ParticipantsChad Bennett - SVP of Investor Relations and Corporate DevelopmentDerrick Wood - Managing DirectorErik Woodring - Managing DirectorJohn Ederer - CFONick Jones - Managing DirectorRadu Saltan - Director of Equity ResearchSteve McMillan - President and CEOWamsi Mohan - Managing DirectorYitchuin Wong - Senior Equity Research AssociateConference Call ParticipantsChirag Ved - VP and Equity Research AnalystSheldon McMeans - ...

Financial Data and Key Metrics Changes - In Q4 2025, total revenue was $421 million, up 3% year-over-year, exceeding expectations due to higher recurring revenue [17] - Total ARR grew 3% on a reported basis, marking a stabilization milestone for the business [15][16] - Free cash flow for the year reached $285 million, exceeding the high end of the outlook [20] Business Line Data and Key Metrics Changes - Recurring revenue for Q4 was $367 million, up 5% year-over-year, driven by higher upfront revenue from term license subscriptions [17] - Consulting services revenue for Q4 was $53 million, down 4% year-over-year, indicating challenges in this segment [17] Market Data and Key Metrics Changes - Cloud ARR grew 15% as reported, now representing 46% of total ARR, reflecting a strong shift towards cloud solutions [16] - The trailing 12-month cloud net expansion rate was 108%, indicating robust customer engagement in cloud services [16] Company Strategy and Development Direction - The company is focused on harnessing AI systems to enhance enterprise decision-making and operational efficiency [6][10] - A hybrid model combining on-prem and cloud solutions is being emphasized to meet diverse customer needs [6][10] - The launch of new products, including the Enterprise Vector Store and Teradata AI Factory, aims to drive AI adoption and operationalize autonomous AI [8][9] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in continuing profitable growth into 2026, supported by strong customer engagement and product innovations [5][14] - The company anticipates a typical seasonal decline in ARR in Q1, followed by stabilization and growth in subsequent quarters [22] Other Important Information - The board announced the addition of Melissa Fisher, enhancing governance and oversight [27] - The company plans to invest more in product development to capitalize on market opportunities while maintaining profitability [26] Q&A Session Summary Question: On-premise AI materiality and customer production status - Management sees on-premise AI as a key growth driver, with increased production activity from proof of concepts [30] Question: Free cash flow growth versus EPS guidance - The difference in guidance is attributed to a one-time tax benefit in Q4, affecting EPS but not free cash flow [32] Question: Growth inflection drivers - The growth is attributed to improved demand and proactive product enhancements, particularly in AI solutions [36] Question: 2026 outlook visibility and uncertainties - Migration deals are complex and timing can be uncertain, while expansions provide more consistent growth visibility [40] Question: Impact of large deals on performance - Strong deal momentum across various industries has contributed positively to performance, with improved retention rates expected to continue [46] Question: Contribution from new AI-related solutions - New product initiatives are expected to provide upside potential, but not heavily factored into current financial outlooks [62] Question: Hardware refresh status and customer visibility - The new hardware platform is expected to be available in late Q2 or Q3, with sales teams preparing customers for its deployment [66] Question: Investments in headcount and sales hiring - The company plans to focus on forward-deployed engineering and product development to enhance AI solution delivery [72]

Financial Data and Key Metrics Changes - Total ARR grew by 3% on a reported basis and 1% in constant currency, marking a stabilization milestone for the business [15][16] - Fourth quarter total revenue was $421 million, up 3% year-over-year as reported and 1% in constant currency, exceeding expectations [16][17] - Free cash flow for the full year reached $285 million, surpassing the high end of the outlook [15][19] - Non-GAAP diluted earnings per share were $0.74, exceeding the top end of the outlook range by $0.17 [18] Business Line Data and Key Metrics Changes - Cloud ARR grew by 15% as reported and 13% in constant currency, now representing 46% of total ARR [16] - Consulting services revenue for the fourth quarter was $53 million, down 4% year-over-year as reported and down 6% in constant currency [17] Market Data and Key Metrics Changes - Customer engagement across all regions and industries shifted towards AI and Elastic Compute, indicating a growing interest in AI solutions [6][12] - The company saw a resurgence of interest in its hybrid model, with customers leveraging both on-prem and cloud deployment options [5][21] Company Strategy and Development Direction - The company is focused on harnessing Agentic AI systems to enable autonomous decision-making at enterprise scale [5] - A strong emphasis is placed on product development and innovation, with plans to invest more resources in this area to fuel future growth [15][26] - The company aims to maintain a hybrid deployment strategy to meet diverse customer needs driven by data sovereignty and regulatory environments [5][21] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in entering 2026 on solid footing, with expectations for continued growth in total ARR, operating margin, and free cash flow [15][23] - The company anticipates typical seasonality in ARR, with Q1 expected to be the largest renewal and highest erosion quarter [20][23] Other Important Information - The company announced a board refreshment initiative, with plans to add new independent directors to enhance governance [27] - A new partnership with Unstructured.io was established to automate the ingestion of unstructured content into analysis-ready data [10] Q&A Session Summary Question: On-premise AI materiality and customer investment - Management sees on-premise AI as a key growth driver, with increased POC activity leading to production deployments [30] Question: Free cash flow growth versus EPS guidance - The difference in guidance is attributed to a one-time tax benefit in Q4, affecting EPS but not free cash flow [32][33] Question: Drivers behind growth inflection - The AI marketplace is opening new opportunities, with improved retention rates and product announcements contributing to growth [36][38] Question: Visibility on migration versus expansion - Migration deals are complex and timing is hard to gauge, while expansions provide more consistent revenue growth [40][41] Question: Impact of new AI-related solutions on revenue - New product capabilities are expected to contribute to growth, but not heavily factored into current financial outlook [62] Question: Investments in headcount and sales hiring - The company plans to invest in forward-deployed engineering and product development to enhance AI solutions [68][70] Question: Seasonality and revenue growth expectations - Typical seasonality is expected, with Q1 showing erosion followed by growth in subsequent quarters [73][75] Question: Board refreshment and governance changes - The board refreshment process is ongoing, with a focus on enhancing skill mix and governance [77] Question: Characteristics of successful software companies in AI transition - The company emphasizes its role as a data layer for AI, positioning itself for growth in the autonomous AI space [81][82] Question: Operating margin expansion drivers - Expansion will be driven by gross margin improvements and efficiencies in operating expenses [84]

Core Insights - GitLab is focused on unifying the software development life cycle with modern agile principles, serving over 50 million users and more than 100,000 organizations globally [2] Group 1: Company Overview - GitLab has been in operation for over 14 years, emphasizing the integration of software development processes on a single platform [2] - The company is experiencing a transformative phase in software engineering, marking it as an exciting time for software development and software-driven businesses [2] Group 2: AI Integration - GitLab aims to leverage AI to enhance innovation velocity and provide real ROI for technology leaders investing in AI [2] - The CEO believes that AI has the potential to significantly accelerate innovation within the software development sector [3]