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C3.ai
Tom Siebel's C3.ai builds preindustrial AI applications for energy, defense, and manufacturing. Public since 2020 with over $300M revenue.
C3.ai
C3.ai emerged from Tom Siebel's conviction that the next wave of enterprise value would come from applying machine learning to massive industrial datasets. Founded in 2009 and headquartered in Redwood City, the company spent its first seven years in quiet development before launching its platform publicly in 2016. Siebel, who previously built Siebel Systems into the dominant CRM provider before its 2006 acquisition by Oracle, seeded the company personally and retained majority voting control post-IPO (per SEC filings, 2020). The firm's initial focus on energy-sector applications — fraud detection, asset integrity, and production optimization — reflected early commercial traction with utilities and oil majors. C3.ai's platform supports three primary application suites: C3 AI Reliability for predictive maintenance, C3 AI CRM for industry-specific customer management, and C3 AI Defense and Intelligence for government security workloads. Unlike general-purpose AI toolkits, these applications are prebuilt for specific industrial use cases and deployable on AWS, Azure, or private cloud. The firm derives significant revenue from its partnership with Baker Hughes, formalized in 2019, which embeds C3.ai's technology into oilfield services. Confirmed enterprise customers include the U.S. Air Force, Shell, and ENGIE. Geographically, the firm operates across North America, Europe, and the Middle East, with energy and defense contracts anchoring its international presence. As a public company (NYSE: AI) since December 2020, C3.ai reports revenue rather than assets under management. The firm closed its most recent fiscal year with approximately $310 million in revenue and employed roughly 900 people as of mid-2024 (per the firm's public filings). In May 2024, C3.ai announced the launch of C3 Generative AI for Government Programs, a domain-specific large language model deployment targeting federal intelligence and defense agencies. The firm does not operate philanthropic foundations or co-investment clubs in the traditional family-office sense; however, Siebel personally funds the Siebel Scholars program and has donated over $100 million to the University of Illinois Urbana-Champaign for a new Siebel Center for Design. C3.ai's structural distinction lies in its pure-play focus on enterprise AI applications at a time when most competitors sell horizontal infrastructure or do-it-yourself tooling. The firm has argued, through SEC filings and earnings calls, that its prebuilt, vertically integrated approach reduces the time-to-value for industrial operators who lack in-house AI teams. This posture has attracted scrutiny — short-sellers have questioned the depth of the firm's recurring revenue and the concentration of its Baker Hughes relationship — but it remains the defining architectural bet: industrial AI as a packaged product, not a consulting engagement or an infrastructure subscription.
General information
Firm type
Asset Manager
Year founded
2009
AUM
Undisclosed
Location
Region
North America
Country
United States
City
Redwood City
Corporate office
Redwood City, CA, United States
Principals
Thomas M. Siebel
Chairman and CEO
Sector focus
Frequently asked questions
Who makes investment decisions at C3.ai, and what is the governance structure?
C3.ai is a public operating company, not an investment firm, so capital allocation decisions are made by the CEO and board of directors rather than an investment committee. Thomas Siebel holds majority voting control through Class B shares, giving him decisive sway over strategic direction, acquisitions, and partnership agreements (per the firm's 10-K, 2024). The board includes former Cisco executive Jim Snabe and former U.S. Secretary of State Condoleezza Rice.
How does C3.ai generate revenue — is it a software company or something else?
C3.ai generates revenue primarily from software subscriptions and professional services tied to its enterprise AI platform. Subscription revenue makes up the majority, with customers paying for access to prebuilt AI applications and the underlying platform. Professional services revenue comes from configuration, training, and integration work. The firm's public filings show a transition toward consumption-based pricing in its most recent quarters (per C3.ai's Q4 FY2024 earnings call, May 2024).
What is C3.ai's relationship with Baker Hughes, and how material is it?
Baker Hughes is C3.ai's largest strategic partner and a significant revenue contributor. The two firms formed a joint venture in 2019 to deploy AI applications across the oil and gas industry, with Baker Hughes holding a minority equity stake and exclusivity in certain energy subsegments. C3.ai disclosed in SEC filings that Baker Hughes accounted for a material percentage of total revenue, and the relationship includes revenue-sharing provisions and mutual go-to-market commitments (per C3.ai's S-1, November 2020).
Does C3.ai compete with platforms like Palantir or Databricks, and how is it different?
C3.ai competes with Palantir in federal and industrial AI, with Databricks in the platform layer, and with niche industrial IoT vendors like Uptake and SparkCognition. Its differentiation, as stated by the firm, is the prebuilt, use-case-specific nature of its applications — customers buy a ready-made predictive maintenance module, not a toolkit they must build atop. Palantir's Foundry and Databricks' Lakehouse are more flexible but demand heavier in-house engineering effort, making C3.ai's packaging thesis an explicit tradeoff between configurability and deployment speed.
Is C3.ai profitable, and what does its financial trajectory look like?
C3.ai has not reported GAAP profitability since its IPO. The firm has invested heavily in sales expansion and product development while revenue growth has been lumpy due to large, multi-year public-sector and energy contracts. As of its fiscal year ended April 2024, the firm reported a net loss exceeding $250 million on roughly $310 million in revenue (per the firm's 10-K). Management has guided toward narrowing losses through operational efficiency, but no specific date for sustained profitability has been disclosed.
Does Tom Siebel still control C3.ai, and what is his current role?
Yes. Tom Siebel is Chairman and CEO as of 2024, and he retains majority voting power through a dual-class share structure established at the 2020 IPO. Class B shares carry 50 votes each and are almost entirely held by Siebel. This structure means activist shareholders or hostile acquirers cannot override his strategic decisions, which has drawn governance criticism from proxy advisory firms but also ensures long-term strategic continuity (per the firm's proxy statement, 2023).
What sectors does C3.ai actively avoid or deprioritize?
C3.ai does not sell into consumer-facing AI applications, social media, digital advertising, or algorithmic trading. The firm's historical focus on capital-intensive industrial sectors — energy, manufacturing, defense — reflects a deliberate avoidance of markets where buyer adoption is driven by mass consumer behavior or rapid product turnover. In public remarks, Siebel has characterized consumer internet AI as a low-margin, advertising-dependent business model that C3.ai has no intention of entering (per Siebel's 2021 book 'Digital Transformation').
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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