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C3 AI is a publicly-traded software company that specializes in large-scale enterprise artificial intelligence (AI). Headquartered in Redwood City, California, it was founded by Thomas Siebel, Ed Abbo, and Patricia House in 2009. Originally founded to help large companies reduce their carbon footprint and manage energy resources, it has expanded to provide AI-based technology and services to the defense & intelligence, energy, manufacturing, retail, financial services, and utilities industries.

Major customers include Shell, the US Air Force, the Missile Defense Agency, and Raytheon. C3 AI technology has far reach, including a statewide mandate by New York's governor for use of the company's energy management platform. The company's boards of directors and advisors includes former Secretary of State Condoleeza Rice, retired Vice Admiral Dennis V. McGinn and retired Lieutenant General H.R. McMaster.

2009–2016: founding and early years
Originally named C3, C3 AI was founded in 2009 to create and sell enterprise software for energy management. The “C” stood for carbon and the 3 was shorthand for three “M” words: measure, mitigate, and monetize.

Founder Thomas Siebel’s original vision was to create products to help large companies reduce their carbon footprints and comply with carbon taxes, which were relatively new at the time. The company’s first software product was called C3 Energy Management. In 2012, after a restructuring, the company’s name was changed to C3 Energy as it changed its focus to help energy grid operators aggregate and analyze data from various sensor devices and enterprise software systems.

2016–2018: expansion
Between 2016 and 2018, Siebel began to expand the company’s reach beyond the energy industry. He renamed the business to C3 IoT (a reference to the interconnectedness of smart devices known as “the internet of things” ). It was at this point that the newly-named company expanded into larger technology applications including cloud computing, data analytics, artificial intelligence, and machine learning. The company’s market expanded to more industries, from aerospace and defense to manufacturing and retail.

2018–present: enterprise AI
In early 2019, to reflect the expansion into and focus on enterprise AI technology, the company’s name was changed to C3.ai. In December 2020, C3.ai became a public company.

The company currently provides an enterprise AI software platform and applications for multiple commercial uses, including energy management, predictive maintenance, fraud detection, anti-money laundering, inventory optimization, and predictive CRM.

C3 AI Energy Management was the first software application created under the C3 AI banner. Customers include the New York Power Authority, which uses a customized version of the application to manage the state’s energy system. In September 2022, the New York State Governor’s Office mandated that all State agencies use the application as part of an initiative to reduce emissions.

Products
Enterprise AI software uses artificial intelligence technologies, such as machine learning and neural networks, to solve complex analytical problems in commerce, industry, and government. C3 AI provides an enterprise AI software platform and applications for multiple commercial uses, including supply chain management, energy management, predictive maintenance, fraud detection, anti-money laundering, inventory optimization, and predictive CRM.

Organizations use enterprise AI software to improve their operations, reduce costs, and improve their operations. The US Air Force, for example, uses AI software to predict engine failure in aircraft before a failure occurs, as well as to efficiently manage maintenance schedules, costs, and aircraft readiness.

Market
The company’s major customers include Baker Hughes, Shell, the US Air Force, New York Power Authority, LyondellBasell , Cargill, Con Edison , SWIFT , Duke Energy, FIS , the Missile Defense Agency, Koch Industries , and Raytheon Technologies.

The Open AI Energy Initiative
The Open AI Energy Initiative (OAI) is an open ecosystem of AI solutions to help transform the energy industry. It was created as a collaborative effort between C3 AI, Shell, Baker Hughes, and Microsoft.

People
C3 AI’s leadership team includes CEO Thomas Siebel, Chief Technology Officer Ed Abbo, Chief Product Officer Houman Behzadi, and CFO Juho Parkkinen.

Siebel, well-known as a leader within the tech industry, has been recognized for his leadership of C3 AI, receiving awards such as 2018 Glassdoor Top CEO, 2018 Goldman Sachs one of the 100 Most Intriguing Entrepreneurs, 2018 EY Entrepreneur of the Year.

The company’s board of directors is led by Siebel and Patricia House, another founder. Former Secretary of State Condoleeza Rice sits on the board. Leading the C3 AI board of directors is Chairman Thomas Siebel and Vice Chairman and Founder Patricia House. Other notable members include Richard Levin, Michael McCaffrey, S. Shankar Sastry, Bruce Sewell, Lisa Davis, Jim Hagemann Snabe, and Stephen Ward, Jr.

The C3 AI advisory board includes retired distinguished U.S. service officers including Vice Admiral Dennis V. McGinn, Lieutenant General H.R. McMaster, Lieutenant General Edward Cardon, and former vice chairman of the Joint Chiefs of Staff General John Hyten. Other members include former Deputy Director of the National Security Agency (NSA) Rick Ledgett and Jacques Attali.

Patents
C3 AI holds the following patents:


 * EP3198529A1, 11449315, Systems and methods for utilizing machine learning to identify non-technical loss
 * 8989910, Systems and methods for data mining of energy consumption data, issued by the United States
 * 10884039, Systems and methods for processing data relating to energy usage, issued by the United States
 * 11320469, Systems and methods for processing different data types
 * 10296843, Systems and methods for utilizing machine learning to identify non-technical loss
 * 11301771, Systems and methods for determining disaggregated energy consumption based on limited energy billing data
 * 10824634, Systems, methods, and devices for an enterprise ai and internet-of-things platform
 * 11126635, Systems and methods for data processing and enterprise ai applications
 * 10817530, Systems, methods, and devices for an enterprise ai application development platform
 * 10346933, Systems and methods for regression-based determination of expected energy consumption and efficient energy consumption
 * 11010847, Systems and methods for regression-based determination of expected energy consumption and efficient energy consumption
 * 9923915, Systems and methods for providing cybersecurity analysis based on operational technologies and information technologies
 * 10872386, Predictive segmentation of customers
 * 11263703, Systems and methods for anti-money laundering analysis
 * 8989910, Systems and methods for data mining of energy consumption data, issued by the United States