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C3.ai(AI) - 2022 Q4 - Earnings Call Transcript
2022-06-02 01:34
C3.ai, Inc. (NYSE:AI) Q4 2022 Earnings Conference Call June 1, 2022 5:00 PM ET Company Participants Paul Phillips - Vice President, Investor Relations Tom Siebel - Chairman and Chief Executive Officer Juho Parkkinen - Chief Financial Officer Conference Call Participants Arvind Ramnani - Piper Sandler Patrick Walravens - JMP Securities Eric Heath - KeyBanc Bob Huang - Morgan Stanley Pinjalim Bora - JPMorgan Operator Good afternoon and thank you for attending today’s C3.ai Earnings Call for the Fourth Quarter ...
C3.ai's (AI) CEO Tom Siebel on Morgan Stanley Technology, Media & Telecom Conference
2022-03-11 01:11
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(AI) - 2022 Q3 - Earnings Call Transcript
2022-03-03 02:30
C3.ai, Inc. (NYSE:AI) Q3 2022 Earnings Conference Call March 2, 2022 5:00 PM ET Company Participants Paul Phillips - VP, IR Thomas Siebel - Founder, CEO & Chairman Juho Parkkinen - VP, Corporate Controller & Principal Accounting Officer Conference Call Participants Patrick Walravens - JMP Securities Jamie Shelton - Deutsche Bank Sanjit Singh - Morgan Stanley Mark Murphy - JPMorgan Chase & Co. Michael Cikos - Needham & Company Operator Good afternoon, and thank you for attending today's C3 AI Third Quarter F ...
C3.ai, Inc. (AI) CEO Tom Siebel Presents at 5th Annual Wells Fargo TMT Summit Conference (Transcript)
2021-12-02 20:42
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 ...
C3.ai(AI) - 2022 Q2 - Earnings Call Transcript
2021-12-02 02:19
C3.ai, Inc. (NYSE:AI) Q2 2022 Results Conference Call December 1, 2021 5:00 PM ET Company Participants Paul Phillips - VP, IR Tom Siebel - Chairman and CEO David Barter - CFO Adeel Manzoor - SVP and Chief Administrative Officer Conference Call Participants Sanjit Singh - Morgan Stanley Luke Morison - Canaccord Jack Andrews - Needham Brad Sills - Bank of America Mark Murphy - JPM Operator Good evening. Thank you for attending today’s C3 AI Second Quarter Fiscal Year 2022 Earnings Call. My name is Tania, and ...
C3.ai, Inc. (AI) CEO Tom Siebel Presents at KeyBanc Summit @ AWS Re:Invent Conference (Transcript)
2021-11-30 02:14
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