C3.ai, Inc.

C3 AI

Overview

C3 AI is an enterprise AI software company that delivers an integrated family of AI products for large organizations. Its mission is to enable rapid development, deployment, and operation of enterprise AI applications at scale, with governance, security, and multi-cloud flexibility.

Products and architecture

Five core product areas comprise the C3 AI Software:

• C3 Agentic AI Platform: Platform-as-a-Service core with a patented model-driven architecture and agent orchestration.
• C3 AI Studio: Integrated development environment for building, testing, and deploying AI applications.
• C3 AI Applications: Portfolio of pre-built, industry- and process-specific SaaS AI applications running on the platform.
• C3 Generative AI: Generative and agentic AI capabilities embedded across the platform and applications.
• C3 Code: Agentic development environment that auto-generates production-grade applications from natural language descriptions, producing production-ready pipelines, UI, security, and data integration.

How the layers fit together:

• Platform: infrastructure layer (C3 Agentic AI Platform).
• Studio: creation layer for developers and analysts.
• Code: automation and acceleration layer for building applications.
• Applications: encode domain knowledge across industries such as assets, energy, supply chain, and defense.
• Generative AI: access and interaction layer enabling natural-language interaction and agent orchestration.

Key capabilities

• Model-driven architecture with a library of prebuilt conceptual models (e.g., Asset, Order, Contractor) and inheritance across data sources and compute resources.
• Cloud-agnostic deployment across Azure, AWS, and Google Cloud, with on-premises and hybrid options; supports multi-cloud and polyglot deployments.
• Governance features including data lineage, model governance, role-based access, audit trails, and explainability to meet enterprise requirements.
• Patent-backed agent orchestration and a Dynamic Planning Agent for multi-agent coordination and multi-step reasoning.
• Open, extensible architecture with support for multiple large language models (LLM-agnostic).

Deployment model and commercial approach

• Initial Production Deployment (IPD): typically up to six months; provides developer access to the platform, Center of Excellence (COE) support, and one or more applications.
• Post-IPD commercial options: consumption-based pricing by vCPU/vGPU hours or time-certain multi-period commitments with ongoing consumption charges.
• Hosting: customers may incur hosting fees if using C3 AI’s cloud environment.
• Market approach: lighthouse customer engagements across industries and geographies to demonstrate value and drive expansion; strong partner ecosystem and co-sell/co-delivery relationships with Microsoft, AWS, Google Cloud, McKinsey, Baker Hughes, Booz Allen Hamilton, Capgemini, PwC, Cognizant, Fractal, Cathexis, and others.

Primary revenue streams:

• Subscriptions (software licenses, SaaS offerings, COE support, initial deployments, and hosting).
• Consumption-based pricing after IPD (vCPU/vGPU hours) or multi-year commitments with consumption components.
• Professional services (engineering, implementation, consulting, and training), often delivered with partners.

Markets, applications, and interoperability

Industry-focused C3 AI Applications include:

• Asset Performance: Reliability, Process Optimization, Energy Management, Asset Connect, Field Services.
• Supply Chain: Supply Network Risk, Inventory Optimization, Demand Forecasting, Production Schedule Optimization, Sourcing Optimization, Supply Chain Orchestration.
• Defense & Intelligence: Readiness, Intelligence Analysis, Decision Advantage, Contested Logistics.
• Property Appraisal: Residential and Commercial Property Appraisal for government use.

Generative AI capabilities are integrated to ground responses in customer data, provide governance, and enable autonomous agent-driven workflows. The product suite emphasizes interoperability with ERP systems (for example, SAP) and other enterprise software, with the intent to complement and extend existing IT investments.

Customers, scale, and international footprint

• Employees: 764 full-time employees as of April 30, 2026 (582 U.S.-based; 182 international).
• International scope: operations and customers in Europe, Asia, and the United States; ten international sales locations; customer-entities in more than 15 countries.
• About 10% of revenue from customers outside North America (fiscal year ended April 30, 2026).

Financials and historical scale

• Net losses for fiscal years ended April 30:
  • 2026: approximately $470.4 million
  • 2025: approximately $288.7 million
  • 2024: approximately $279.7 million
• Accumulated deficit: approximately $1.8 billion as of April 30, 2026.
• Historical indicators: over $2.0 billion in additional contracts and approximately $1.9 billion in revenue recognized from 2019 through 2026.

Intellectual property and competition

• IP portfolio: 33 issued U.S. patents and 30 issued counterpart patents internationally; 31 U.S. patent applications pending and 74 patent applications pending internationally. Patents expire between 2031 and 2043.
• Foundational patent for generative AI agents: US 12,111,859, plus patents covering AI Orchestrator, Autonomy, Multimodal Model Integration, and related areas.
• Open-source considerations: uses Apache 2.0 components; open-source licensing and compliance are identified as risk factors.
• Competition: DIY enterprise IT groups, commercial vendors, open-source projects, cloud services, system integrators, legacy data management providers, and strategic partners. The company positions its model-driven architecture and end-to-end, multi-layer enterprise capabilities as differentiators.

Governance, ownership, and stock structure

• Dual-class capital structure: Class B common stock (voting) and Class A common stock (one vote per share).
• Ownership (as of June 10, 2026): Thomas M. Siebel and related entities own about 87.8% of Class B and 14.9% of Class A, representing approximately 49.6% of total voting power.
• Automatic or negotiated conversions of Class B to Class A occur under specified events (death or incapacity of Siebel, cessation of services, 2040 sunset, or board-approved conversions).
• Governance provisions: exclusive forum provisions designate the Delaware Court of Chancery for most disputes and a specified forum for Securities Act claims; other provisions affect change-in-control dynamics and forum selection.
• Market visibility and investor approach: strategy centered on lighthouse customers, partner ecosystems, and multi-cloud go-to-market.

Strategic and operational context

• Restructuring: the company undertook restructuring efforts in fiscal 2026 covering sales, service realignment, and product delivery changes to improve efficiency and go-to-market execution.
• Investment priorities: management continues to invest in R&D, sales, and infrastructure to support long-term growth, expand platform capabilities, add features, and broaden industry-specific applications. There is ongoing investment in marketing, sales, and partnerships to expand the customer base beyond high-value contracts.

Takeaway

C3 AI provides an integrated enterprise AI platform and industry-specific AI applications built on a patent-protected model-driven architecture. The company supports multi-cloud and hybrid deployments, emphasizes governance and rapid production deployment through its IPD model and consumption-based pricing, operates internationally, reports material net losses and an accumulated deficit while investing in scale, and maintains concentrated founder influence through a dual-class stock structure. Revenue is primarily subscription-based, supplemented by hosting, consumption charges, and professional services.