Key Takeaways SOUN's restaurant voice AI remained a key contributor in Q3, adding roughly 1,000 locations.SoundHound is expanding restaurant AI beyond order taking into employee assist, insights and workflow tools.Restaurant demand stays resilient as efficiency, labor costs, and accuracy drive adoption and recurring usage.Restaurant-focused voice AI has long been a foundational pillar of SoundHound AI, Inc.’s (SOUN) business, providing early scale, real-world validation, and recurring deployments across nat ...

20VC x SaaStr is Back! SpaceX’s $1.5 Trillion IPO, Lightspeed’s $9 Billion Mega-Raise, and Why All These Late-Stage Giants Staying Private is “The Greatest Gift to Venture in Our Lifetimes” The latest from the 20VC x SaaStr collaboration with Harry Stebbings, Jason Lemkin, and Rory O’DriscollThe TL;DRWe’re living through the greatest wealth transfer in venture capital history—and it’s happening because the best companies refuse to go public. Lightspeed just raised $9 billion. SpaceX is eyeing a $1.5 trilli ...

We're joined now by CEO [music] Julie to discuss the quarter and and we were just wondering about the stock reaction. Julie, the market doesn't appear to be believing that the AI narrative around Accenture even though it's clearly accelerating your business. What's happening.You know, Sarah, we delivered an incredible Q1, our biggest ever in new business, and it's because our clients know they have to deliver results today, and they've got to reinvent. So, we demonstrated that again, $20.9% billion in new b ...

LAUSANNE, Switzerland, Dec. 18, 2025 /PRNewswire/ -- Neural Concept, a global AI platform and leader in Engineering Intelligence powering next-generation product development, today announced it raised a $100 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives, with existing investors Forestay Capital, Alven, HTGF, D.E. Shaw Ventures and Aster Capital. Neural Concept's Series C marks the company's latest funding milestone following its $27 million Series B in 2024. Neural Concep ...

Financial Data and Key Metrics Changes - The company reported a revenue growth of 6.9% year over year, reaching $608 million, with organic growth of 6% excluding foreign exchange and M&A impacts [22][27] - Adjusted operating margin was 36.2%, and adjusted diluted EPS increased by 3% year on year to $4.51 [4][22] - Organic ASV growth accelerated to 5.9%, an increase of $6.6 million, driven by strong demand in trading, workstations, and market data [18][22] Business Line Data and Key Metrics Changes - In the Americas, organic ASV grew 6%, primarily driven by asset managers and wealth [18] - EMEA saw a 4% organic ASV growth, with improved retention and expansion in performance solutions [18] - Asia-Pacific experienced an 8% organic ASV growth, up from 7% last quarter, driven by middle office solutions and AI-ready data [19] - Wealth management delivered a 10% organic ASV growth, with significant wins in workstations and analytics [20] Market Data and Key Metrics Changes - Client count grew to over 9,000, a 9% increase year over year, with retention rates at 91% for clients and above 95% for ASV [22] - The user base approached 240,000, with wealth and asset managers leading user growth, up 10% versus the prior year [22] Company Strategy and Development Direction - The company is increasing its share repurchase authorization from $400 million to $1 billion, reflecting confidence in its balance sheet and long-term growth potential [5][26] - Three strategic priorities include driving commercial excellence, improving productivity, and solidifying long-term strategy for sustainable growth [12][17] - The company is focused on enhancing its data offerings and integrating AI capabilities to maintain competitive differentiation [10][12] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the strength of the pipeline and client demand, indicating a positive sentiment in the market [46][48] - The company is maintaining a prudent approach to guidance, reaffirming previously issued FY26 guidance across all metrics [27][56] - There is an expectation of continued growth in AI product adoption, with a reported sequential growth of over 45% in AI products launched earlier this year [12][51] Other Important Information - Operating expenses increased by 9% year over year, driven by higher people-related expenses and technology costs [23][24] - The company is allocating roughly two-thirds of its investments to growth initiatives and one-third to internal infrastructure [24][25] Q&A Session Summary Question: Competitive positioning versus AI startups and Big Four data incumbents - Management emphasized confidence in proprietary assets and the ability to partner with the AI ecosystem, viewing distribution through various channels as complementary [29][30] Question: Changes in sales incentives and early results - Management highlighted alignment of sales incentives with desired outcomes, leading to faster sales motions and a richer pipeline [33][34] Question: AI's impact on customer hiring and desktop business - Management noted no significant reductions in headcount, with increased hiring observed in banking and strong demand for AI products [37][39] Question: Margin impact from investments - Management discussed the balance between structural investments for operating leverage and growth investments aligned with client demand [52][54] Question: Organic ASV growth expectations - Management expressed confidence in the pipeline but maintained a conservative approach to guidance, acknowledging the need for prudent execution [55][56] Question: Proprietary versus non-proprietary products - Management provided insights into the classification of proprietary data and the importance of proprietary methodologies in delivering high-quality outputs [57][59]

"This investment underscores Snowflake's commitment to enabling enterprises with a unified, governed foundation for data, analytics, and AI," said Harsha Kapre, Head of Snowflake Ventures. "As organizations continue to centralize data in Snowflake, partnering with AtScale helps our joint customers maintain consistent business logic and semantic definitions throughout their analytics and AI workflows, delivering performance and enhanced accuracy at scale." AtScale will continue to support the industry's wide ...

Accenture (NYSE:ACN) Q1 2026 Earnings Call December 18, 2025 08:00 AM ET Company ParticipantsJulie Sweet - Chair and CEOAlexia Quadrani - Executive Director and Head of Investor RelationsAngie Park - CFOConference Call ParticipantsDavid Koning - Senior Equity Research AnalystDarrin Peller - Senior Equity Research AnalystJason Kupferberg - Equity Research AnalystJames Faucette - Equity Research AnalystBryan Keane - Managing Director and Senior Equity Research AnalystTien-tsin Huang - Senior Equity Research A ...

Accenture (NYSE:ACN) Q1 2026 Earnings Call December 18, 2025 08:00 AM ET Company ParticipantsAlexia Quadrani - Head of Investor RelationsAngie Park - CFOJulie Sweet - CEOConference Call ParticipantsDavid Koning - Senior Equity Research AnalystJames Faucette - Equity Research AnalystDarrin Peller - Senior Equity Research AnalystBryan Bergin - Equity Research AnalystKevin McVeigh - Senior Equity Research AnalystTien-tsin Huang - Senior Equity Research AnalystJason Kupferberg - Equity Research AnalystBryan Kea ...

Financial Data and Key Metrics Changes - Revenue for the first quarter reached $18.7 billion, growing 5% in local currency, with adjusted EPS growth of 10% compared to the same quarter last year [6][17][20] - Adjusted operating margin expanded by 30 basis points year over year, reaching 17% [7][17] - Free cash flow for the quarter was $1.5 billion, with a cash balance of $9.6 billion at the end of the quarter [21][22] Business Line Data and Key Metrics Changes - New bookings totaled $20.9 billion, representing 12% growth in U.S. dollars and 10% growth in local currency [16][17] - Consulting revenues were $9.4 billion, growing 4% in U.S. dollars and 3% in local currency, while managed services revenues were $9.3 billion, growing 8% in U.S. dollars and 7% in local currency [18] - Advanced AI bookings reached $2.2 billion, nearly doubling from the previous year, with revenue of approximately $1.1 billion [9][10] Market Data and Key Metrics Changes - Revenue growth in the Americas was 4% in local currency, with a 6% growth excluding federal business impacts [18][19] - EMEA saw 4% growth in local currency, driven by banking and capital markets, while Asia-Pacific experienced 9% growth, led by Japan and Australia [19] - The demand for reinvention remains strong, with 60% of revenue in Q1 coming from work with top 10 ecosystem partners [11][12] Company Strategy and Development Direction - The company aims to be the most client-focused, AI-enabled workplace, emphasizing the importance of partnerships and strategic acquisitions to enhance capabilities [5][14] - Recent acquisitions include a 65% stake in DLB Associates, expanding capabilities in the AI data center engineering market [14] - The focus is on embedding advanced AI across various solutions, moving beyond standalone projects to integrated end-to-end solutions [10][34] Management's Comments on Operating Environment and Future Outlook - Management noted that clients are prioritizing large-scale transformational programs, with no significant changes in discretionary spending observed [24][66] - The company expects revenue growth for fiscal 2026 to be in the range of 2-5% in local currency, with an inorganic contribution of about 1.5% from acquisitions [37][39] - The outlook for adjusted diluted earnings per share for fiscal 2026 is projected to be between $13.52 and $13.90, reflecting 5-8% growth over the previous fiscal year [38][39] Other Important Information - The company recorded $308 million in business optimization costs related to employee severance, impacting operating margin and EPS [20] - The company continues to invest significantly in talent and technology, with nearly 80,000 AI and data professionals targeted [7][8] Q&A Session Summary Question: Shift in consulting industry's role in AI - Management acknowledged a shift in perception, emphasizing that enterprise AI adoption requires foundational work around data and processes [42][44] Question: Revenue impact of AI partnerships - Management indicated that partnerships are crucial for enterprise adoption and will contribute to revenue as the market evolves [50][51] Question: Sustainability of revenue per head growth - Management confirmed a 7% growth in revenue per person, driven by talent rotation, but expects moderation as new hires are integrated [52][54] Question: Discretionary spending outlook - Management stated that they are not waiting for discretionary spending to return, focusing instead on delivering results despite current market conditions [65][66] Question: Fixed-price work growth potential - Management expressed confidence in the competitive advantage of fixed-price contracts, which have increased significantly, and noted ongoing evolution in commercial models [67][68]

Summary of Silicon Laboratories FY Conference Call Company Overview - **Company**: Silicon Laboratories (NasdaqGS: SLAB) - **Date**: December 11, 2025 Industry Insights - **AI Investment Cycle**: The company views itself as being in the early stages of the AI investment cycle, particularly in edge computing, which is expected to grow significantly alongside data center investments [2][4] - **Edge AI Development**: There is a belief that edge AI will evolve from data centers to enterprises and eventually to physical devices, with billions of devices expected to be deployed globally [3][4] Key Product Developments - **Connected MCU**: The company emphasizes the importance of its connected microcontroller units (MCUs) integrated with radios, which are essential for networking devices [10] - **Series 3 MCU**: The upcoming Series 3 MCU is designed to support up to 100 times the processing capability of Series 2, with enhanced security features and processing power [11][12] - **Market Readiness**: The first Series 3 devices are already shipping in high volume, with expectations for continued revenue growth from both Series 2 and Series 3 products [18][19] Business Segmentation - **Home and Life vs. Industrial Commercial**: The company segments its business into two main areas, with industrial commercial being the larger segment (approximately 55-60% of revenue) [21] - **Continuous Glucose Monitoring (CGM)**: The CGM market is highlighted as a fast-growing area, with expectations to contribute about 10% of revenue soon, up from nearly zero in 2024 [22][23][24] Market Trends - **Electronic Shelf Labels (ESL)**: The ESL market is transitioning from trial phases to broader adoption, with significant potential for growth as retailers deploy connected price labels [31][32] - **Smart Metering**: The smart metering market is expanding globally, with India being a key growth area, and the company is positioned as a market leader in communication links for these meters [37][38] Financial Performance - **Gross Margins**: The company maintains a long-term gross margin target of 56-58%, with recent performance trending towards the high 50s to low 60s [41][42] - **Revenue Growth**: Silicon Laboratories has a history of consistent growth, with a compounded annual growth rate of 15-18% over the past 10-15 years, and aims to sustain a 20% growth rate moving forward [46][47] Strategic Focus - **Capital Allocation**: The company is focused on maintaining its core competencies in wireless and MCU technologies, with a preference for stock buybacks over M&A activities [48] Conclusion - **Future Outlook**: Silicon Laboratories is optimistic about its growth trajectory, driven by increasing connectivity demands and advancements in AI and edge computing technologies [47]