Introduction
C3 AI is one of the earliest companies to build its business specifically around enterprise artificial intelligence, predating the current wave of generative AI vendors by more than a decade. Founded in Redwood City, California, the company built its reputation supplying large industrial and government organizations with software for predictive analytics, and has since expanded that platform to include generative and agentic AI capabilities.
What the company does
C3 AI develops software that helps large organizations build, deploy, and run AI applications without assembling the underlying data engineering and machine learning infrastructure themselves. Its core offering, the C3 Agentic AI Platform, connects to a customer’s existing data sources — spanning sensors, enterprise systems, and databases — and provides tools for building predictive models, generative AI assistants, and autonomous agents on top of that data. Rather than requiring every customer to build applications from scratch, C3 AI also sells a library of prebuilt, configurable applications addressing common enterprise problems.
Who it serves
The company’s customer base is concentrated among large, asset-intensive organizations: manufacturers, energy and utility companies, and government and defense agencies that manage complex physical operations and need to apply AI across many interconnected systems at once. Disclosed customers include large industrial firms and U.S. federal and defense organizations.
Company background
Thomas M. Siebel founded C3 AI in 2009. Siebel previously founded Siebel Systems, a customer relationship management software company that merged with Oracle in 2006, giving him a long track record building enterprise software companies before turning to AI. C3 AI went public on the New York Stock Exchange under the ticker AI in December 2020. In September 2025, the company appointed Stephen Ehikian, a former U.S. federal technology official, as Chief Executive Officer, while Siebel moved into the role of Executive Chairman. That arrangement changed again in 2026: according to a Form 8-K filed with the U.S. Securities and Exchange Commission, Siebel resumed the CEO title and board chairmanship effective May 8, 2026, with Ehikian moving into a newly created President role.
Product and AI capabilities
C3 AI’s product line has three main parts. The C3 Agentic AI Platform is the underlying development and orchestration environment used to build, deploy, and operate AI applications and agents at scale. C3 AI Applications is a portfolio of prebuilt, industry-specific software addressing use cases such as predictive maintenance, supply chain optimization, energy management, anti-money laundering, and fraud detection. C3 Generative AI layers retrieval-augmented search and assistant features on top of a customer’s existing systems, letting employees query enterprise data using natural language. The company markets its platform as a way to implement AI applications in weeks rather than the months or years associated with custom-built systems.
Key developments
Recent developments illustrate how leadership at C3 AI has shifted even as its underlying platform strategy has stayed consistent. The company went public on the NYSE under the ticker AI in December 2020, then appointed Stephen Ehikian as CEO in September 2025 while founder Thomas Siebel continued as Executive Chairman. Siebel resumed the CEO role and board chairmanship effective May 8, 2026, with Ehikian moving into a President role, per an SEC Form 8-K filing. Through these leadership changes, C3 AI has continued expanding the C3 Agentic AI Platform and C3 Generative AI product lines across manufacturing, energy, and public-sector accounts.
Why it matters
C3 AI offers a long-running case study in enterprise AI adoption that predates the generative AI boom, making it a useful benchmark for evaluating how legacy platform vendors adapt as buyer expectations shift toward generative and agentic tools. Its recent leadership changes — a new CEO in 2025 followed by the founder’s return to the role in 2026 — also make it a visible example of how public AI vendors navigate governance pressure as the category matures.
Sector context
Within enterprise software, C3 AI sits closer to the infrastructure and platform layer than to the application layer occupied by newer entrants. Where a company like Dataiku focuses on governed model development and MLOps for data science teams, C3 AI leans toward packaged, industry-specific applications built on top of its own platform. Both companies illustrate a similar structural challenge: proving that a general-purpose AI platform can deliver faster time-to-value than point solutions or in-house builds. C3 AI’s emphasis on prebuilt applications also contrasts with the agent-orchestration approach taken by UiPath, which extends existing automation workflows with AI rather than starting from a data platform.
Sources and references
This profile draws on C3 AI’s official company page, its investor relations disclosures, and a Form 8-K filed with the SEC confirming the 2026 leadership change, cross-checked against independent reporting for historical context. Readers should consult C3 AI’s investor relations site for the most current financial and leadership information.