C3.ai, Inc. (NYSE:AI) Q3 2023 Results Conference Call March 2, 2023 5:00 PM ET Company Participants Reuben Gallegos - VP IR Tom Siebel - Chairman and Chief Executive Officer Ed Abbo - Chief Technology Officer Juho Parkkinen - Chief Financial Officer Conference Call Participants Mike Cikos - Needham & Company Gil Luria - D.A. Davidson Michael Turits - KeyBanc Sanjit Singh - Morgan Stanley Arvind Ramnani - Paper Stanley Kingsley Crane - Cannaccord Pat Walravens - JMP Securities Arsenije Matovic - Wolfe Resear ...

Table of Contents UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 FORM 10-Q (Mark One) ☒ QUARTERLY REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the quarterly period ended January 31, 2023 OR ☐ TRANSITION REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the transition period from __________ to __________ Commission File Number: 001-39744 C3.ai, Inc. (Exact name of registrant as specified in its charter) (State or ot ...

C3.ai, Inc. (NYSE:AI) Q2 2023 Earnings Conference Call December 7, 2022 5:00 PM ET Company Participants Reuben Gallegos - VP IR Tom Siebel - Chairman and Chief Executive Officer Juho Parkkinen - Chief Financial Officer Conference Call Participants Brad Zelnick - Deutsche Bank Mike Cikos - Needham & Company Pinjalim Bora - JPMorgan Patrick Walravens - JMP Securities Kingsley Crane - Canaccord Genuity Adam Bergere - Bank of America Arvind Ramnani - Piper Sandler Michael Vidovic - KeyBanc Capital Markets O ...

Summary of C3.ai, Inc. Conference Call Company Overview - **Company**: C3.ai, Inc. (NYSE:AI) - **Industry**: Enterprise AI software - **Key Participants**: Tom Siebel (Chairman and CEO), Juho Parkkinen (CFO), Andre Childress (Robert W. Baird) Core Points and Arguments - **Market Position**: C3.ai is positioned in the enterprise AI market, which is projected to be a $600 billion market. The company claims to be the largest in this space, growing at a compound annual growth rate of approximately 40% [12][13]. - **Investment in Technology**: The company has invested about $1 billion over a decade to build a comprehensive software stack that integrates various capabilities, differentiating itself from competitors [6][12]. - **Predictive Capabilities**: C3.ai focuses on transforming traditional enterprise applications into predictive tools, allowing clients to foresee customer behavior and operational needs rather than relying on historical data [9][12]. - **Client Success Stories**: - Shell reported $2 billion in economic benefits from C3.ai solutions, up from $1 billion the previous year [16]. - Enel, a major utility company, claims to achieve EUR 5 billion annually in recurring economic benefits through C3.ai's smart grid analytics [17]. - The U.S. Air Force utilizes C3.ai for predictive maintenance, potentially saving billions by increasing aircraft availability [18]. Financial Metrics - **Current Financial Position**: C3.ai has approximately $1 billion in cash and an enterprise value of about $2 billion. The company reported a negative free cash flow of $15 million last quarter [13][32]. - **Growth Strategy**: The average initial contract value is around $2.9 million, with significant growth potential as clients expand their use of C3.ai solutions [21][22]. The company aims for a non-GAAP operating income of 20% within 8 to 12 quarters [34][36]. Market Dynamics and Challenges - **Economic Environment**: The company acknowledges potential challenges due to economic downturns, inflation, and supply chain issues. However, it believes that its cost-saving solutions will remain in demand even during recessions [31][41]. - **Competitive Landscape**: C3.ai differentiates itself from numerous competitors by emphasizing its unique predictive capabilities and the substantial economic benefits reported by its clients [19][30]. Strategic Partnerships - **Partner Ecosystem**: C3.ai has established strategic partnerships with companies like Baker Hughes, Google Cloud, and Microsoft Azure, which are crucial for expanding its market reach and driving sales [26][30]. Additional Insights - **Customer Penetration**: The company estimates that it has penetrated only 5% to 10% of its average customer base, indicating significant room for growth [22]. - **Future Outlook**: C3.ai is focused on maintaining its market leadership in enterprise AI and is prepared for potential market volatility, emphasizing its commitment to long-term growth and customer satisfaction [29][32][44]. Conclusion C3.ai is strategically positioned in the enterprise AI market with a strong focus on predictive analytics, significant client success stories, and a robust financial foundation. The company is navigating economic challenges while aiming for substantial growth through existing client relationships and strategic partnerships.

Summary of C3.ai, Inc. Conference Call Company Overview - **Company**: C3.ai, Inc. (NYSE:AI) - **Industry**: Enterprise AI and Predictive Analytics - **Conference Date**: March 10, 2022 Key Points Company Foundation and Market Position - C3.ai was founded in 2009 after the sale of Siebel Systems to Oracle, focusing on elastic cloud computing, big data, IoT, and predictive analytics [5][6] - The enterprise AI market is projected to reach a $600 billion addressable market by 2025 [7] - C3.ai aims to establish a global market leadership position in enterprise AI, similar to previous successes at Oracle and Siebel Systems [7] Customer Strategy - The company initially focused on large global enterprises, forming strategic "lighthouse accounts" to establish relationships and secure funding [10] - C3.ai's revenue is heavily derived from large customers, with 95% of revenue coming from companies that previously attempted to build their own solutions [12] Platform Characteristics - C3.ai utilizes a model-driven architecture that simplifies the complexity of building AI applications, making it more efficient than traditional methods [13] - The platform allows customers to develop and operate large-scale applications quickly, reducing the time and cost associated with building from scratch [12][13] Customer Journey and Revenue Growth - The typical customer onboarding process starts with small trials, leading to larger enterprise agreements, exemplified by a customer that progressed from a €600,000 trial to a €350 million commitment over several years [18][25] - C3.ai reported a significant increase in revenue from Baker Hughes, with a 700% year-over-year growth [29] Partnerships and Collaborations - C3.ai has established partnerships with major companies like Baker Hughes, Microsoft, and Google, with Google Cloud being highlighted as a promising collaboration [31][32] - The company signed a $500 million contract with the Department of Defense, facilitating easier access to C3 applications for federal agencies [33] Sales Organization and Growth Strategy - Changes in the sales organization led to a 42% year-over-year growth, with a strategic selling model that focuses on engaging teams to solve customer problems [42][40] - C3.ai aims to balance large enterprise deals with a broader customer base, targeting both high-end and low-end markets [44] Future Outlook - The company plans to expand its application offerings significantly, with expectations of increasing the number of turnkey applications from 42 to potentially 150 in the coming years [49] - C3.ai's CRM application is designed to enhance existing systems rather than compete directly with major players like Salesforce, providing predictive capabilities on top of existing investments [50] Financial Metrics - The remaining performance obligation (RPO) for C3.ai is $470 million, up 90% year-over-year, indicating strong future revenue commitments [27] - The company is trading at an enterprise value of 4 times revenue, suggesting potential undervaluation given its growth rate [42] Additional Insights - The company has invested heavily in technology development, with hundreds of millions spent to create its software stack [7] - C3.ai's focus on professional services currently accounts for 15% to 20% of revenue, with plans to enhance customer independence through improved documentation and support [23]

C3.ai, Inc. (NYSE:AI) 5th Annual Wells Fargo TMT Summit Conference December 2, 2021 1:20 PM ET Company Participants Tom Siebel - Chairman and CEO Conference Call Participants Michael Turrin - Wells Fargo Operator Good afternoon, everyone. Before we get started, if you are a member of the press or media, please disconnect at this time. This is a restricted line. Any unauthorized party in this meeting or any unauthorized use of the information communicated in this meeting is subject to prosecution to the full ...

Company and Industry Overview - **Company**: C3.ai, Inc. (NYSE:AI) - **Industry**: Enterprise AI software - **Market Size**: $300 billion in a few years - **Business Model**: Building a software platform for organizations to design, develop, provision, and operate enterprise AI applications - **Unique Selling Points**: - Comprehensive platform encompassing various AI capabilities - Model-driven architecture for easy deployment across different cloud platforms - Open architecture allowing integration with other technologies Core Points and Arguments - **C3.ai's History and Vision**: - Founded by Tom Siebel, who has extensive experience in the enterprise application software business - Focus on leveraging elastic cloud computing, big data, IoT, and predictive analytics to drive market growth - Aim to establish a market leadership position globally in enterprise AI software - **C3.ai's Unique Approach**: - Differentiates from point solutions by providing a comprehensive platform with all necessary AI capabilities - Offers a model-driven architecture for easy deployment and compatibility with other technologies - Supports various cloud platforms, including Microsoft Azure, AWS, Google Cloud, and IBM Cloud - **C3.ai's Product Portfolio**: - C3 AI Suite: Comprehensive platform for building enterprise AI applications - C3 AI Applications: Pre-built applications for specific industries, such as manufacturing, aerospace, telco, and financial services - Ex Machina: No-code platform for citizen data scientists and business analysts - Data Vision: Graphical representation of data and relationships, enhancing human-computer interaction Other Important Points - **Partnerships**: - Strategic partnerships with industry leaders like Baker Hughes, FIS, Raytheon, and Microsoft - Collaborations with cloud providers like AWS, Google Cloud, and NVIDIA - **Market Strategy**: - Geographically, vertically, and partner-driven go-to-market strategy - Focus on key verticals such as oil and gas, utilities, telecommunications, and financial services - **Digital Transformation**: - Accelerating digital transformation in various industries, including energy, manufacturing, and defense - Enabling organizations to aggregate and analyze large amounts of data for improved decision-making - **Investor Perspective**: - Differentiating AI as a replacement market for enterprise applications - Potential for high growth and profitability in the enterprise AI software market

Summary of C3.ai Conference Call Company Overview - **Company**: C3.ai, Inc. (NYSE: AI) - **Industry**: Artificial Intelligence and Enterprise Software Key Points and Arguments Technology Landscape and Impact - The technology landscape has evolved significantly over the past 30 years, with advancements in the Internet, mobile devices, and AI being pivotal [2][3] - The elastic cloud computing has revolutionized the industry by providing virtually infinite computing capacity and storage, enabling the resolution of previously unsolvable problems [3][6] C3.ai's Vision and Development - C3.ai was founded to leverage emerging technologies such as elastic cloud computing, big data, IoT, and predictive analytics, aiming to create a suite of software services [6] - The company has invested nearly $1 billion in developing its technology stack, which includes 40 turnkey applications across various industries [6][27] Market Opportunity - The AI applications market is projected to be a significant segment of the $1 trillion software market, with C3.ai aiming to establish a leadership position [6] - The CRM market is valued at approximately $120 billion annually, presenting a substantial opportunity for C3.ai's AI-enabled CRM solutions [13] Strategic Partnerships - C3.ai has formed strategic partnerships with major companies like Google Cloud, Microsoft, and Baker Hughes to enhance market reach and leverage their sales forces [8][9] - These partnerships allow C3.ai to distribute its applications globally, significantly increasing its market leverage [9] Model-Driven Architecture - C3.ai's model-driven architecture allows for interoperability across various platforms (AWS, Azure, Google Cloud), enabling faster deployment and reduced complexity for clients [16][20] - This architecture is designed to minimize the need for extensive custom development, allowing clients to focus on application deployment rather than data integration [16][24] Customer Success Stories - C3.ai has implemented large-scale AI applications, such as smart grid analytics for predictive maintenance, which has significant social and economic benefits [28][29] - Shell is utilizing C3.ai for various applications, including predictive maintenance and production optimization, showcasing the versatility and effectiveness of the platform [29] Challenges and Market Adaptation - C3.ai has faced challenges with clients attempting to build their own solutions, leading to eventual returns to C3.ai for its established technology [31] - The company is shifting focus to small and medium-sized enterprises to reduce transaction size and increase predictability in bookings [32] Future Outlook - C3.ai is focused on enhancing human-computer interaction through visualization and voice, addressing ethical concerns related to AI, and capitalizing on the growth of cloud computing and edge computing [37][38] Additional Important Insights - The company emphasizes the importance of a robust sales ecosystem, leveraging partnerships to enhance distribution capabilities [9] - C3.ai's approach to CRM aims to integrate extensive data sources to improve revenue forecasting and customer insights [13][14] - The company is actively working to reduce the lumpiness in its booking streams by diversifying its client base and transaction sizes [32] This summary encapsulates the key insights and strategic directions discussed during the C3.ai conference call, highlighting the company's innovative approach and market positioning in the AI and enterprise software landscape.

Business Update FY22-Q1 September 1, 2021 . . . . . . . . . . . . . . . . Disclaimer This presentation contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. All statements contained in this presentation other than statements of historical facts, including the business strategy, plans, and objectives for future operations of C3.ai, Inc. and its subsidiaries ("we," "us," or "our"), and our financial outlook, are forward-looking statements. The words "a ...

Summary of C3.ai, Inc. Conference Call Company Overview - **Company**: C3.ai, Inc. (NYSE:AI) - **CEO**: Tom Siebel - **Event**: JPMorgan 49th Annual Global Technology, Media and Communications Conference - **Date**: May 24, 2021 Industry Insights - The global information technology industry has grown from a couple of hundred billion dollars in the 1980s to approximately $3.5 trillion to $4 trillion today [6][5] - The emergence of technologies such as elastic cloud computing, IoT, big data, and predictive analytics is driving a digital transformation in the industry [6][7] - C3.ai initially focused on the energy sector, particularly clean energy, and has since expanded into utilities, manufacturing, telecommunications, aerospace, and precision health [7] Core Company Insights - C3.ai aims to provide a software platform that enables large organizations to leverage advanced technologies for enterprise AI and predictive analytics applications [7] - The company has a unique model-driven architecture that simplifies the development of complex enterprise AI applications, reducing the complexity from [10^13] to [10^3] [19][26] - C3.ai's suite includes various services for data aggregation, visualization, and AI democratization, allowing users to build AI solutions without deep technical expertise [20][23] Market Position and Strategy - C3.ai has focused on organic growth rather than acquisitions, believing that maintaining focus on their core business will lead to success [29][30] - The company has established partnerships with major firms like Microsoft, AWS, and Adobe to enhance market reach and customer success [37][38] - C3.ai's average contract values have decreased from approximately $15 million to around $5 million, indicating a shift towards a more diversified customer base [45] Economic Impact and Customer Value - C3.ai's applications have demonstrated significant economic benefits for clients, with examples including a projected €5.1 billion annual benefit for a major utility and $10 billion for Bank of America [40] - The company believes that in the future, it will be inconceivable for businesses to operate without enterprise AI, similar to the current reliance on ERP and CRM systems [32][33] Demand Environment - The oil and gas sector has shown signs of recovery, with improved business conditions leading to a robust pipeline for C3.ai [47][48] - The company is optimistic about growth opportunities across various sectors, including CRM, telecommunications, retail, and government, projecting a significant role in the enterprise AI market [51] Conclusion - C3.ai is positioned as a leader in the enterprise AI space, with a strong focus on organic growth, strategic partnerships, and delivering substantial economic value to its customers [52]