C3.ai Inc (NYSE: AI) is an enterprise AI application software company that builds and sells software applications enabling organizations to develop, deploy, and operate large-scale AI applications. Revenue comes from software subscriptions and services tied to three product families: the C3 Agentic AI Platform, C3 AI Applications, and C3 Generative AI, deployed on public cloud, private cloud, hybrid, or on-premises infrastructure. The company competes against larger technology vendors that can outspend it on development and distribution, and faces pricing pressure from competitors with different go-to-market models. C3.ai was founded in the early 21st century context of model-driven architecture development and operates on a fiscal year ending April 30. As of FY2025 (fiscal year ended April 30, 2025), the company has not declared or paid dividends and retains earnings for operations and expansion. Customers have developed and deployed almost two-thirds of the applications running on the C3 Agentic AI Platform as of the FY2025 10-K filing dated June 23, 2025.

Revenue model

Software subscription and services revenue from enterprise customers using the C3 Agentic AI Platform, C3 AI Applications, and C3 Generative AI offerings, deployable on major public clouds, private cloud, hybrid environments, or on-premises servers.

Products and services

C3 Agentic AI Platform (core model-driven application development and runtime environment), C3 AI Applications (prebuilt enterprise AI applications built on the platform), and C3 Generative AI. All three are collectively referred to as C3 AI Software per the FY2025 10-K.

Customers and end markets

Enterprise customers across industries deploying large-scale AI and IoT applications. Customers are active co-developers on the platform, having built and deployed nearly two-thirds of production applications running on the C3 Agentic AI Platform as of the FY2025 10-K.

Value-chain role

Software platform and application vendor sitting between cloud infrastructure providers and enterprise end users, abstracting data integration, AI model deployment, and application development complexity through a model-driven architecture.

Source: SEC 10-K, filed 2025-06-23

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