C3 AI
Overview
C3 AI is an enterprise AI company founded by Thomas Siebel. Its platform today is the C3 Agentic AI Platform, an ontology-powered system for building, deploying, and governing AI agents, with pre-built applications for defense and intelligence, federal, maritime, manufacturing, oil and gas, utilities, and healthcare. Founder Thomas Siebel resumed the CEO role on May 8, 2026 (former CEO Stephen Ehikian became President), and the company is in a turnaround centered on federal, defense, and aerospace.
Current Results and Turnaround
For fiscal 2026 (ended April 30, 2026), total revenue was $250.3 million, GAAP operating loss was $498.5 million, and the company closed the year with $575.4 million in cash, cash equivalents, and investments.
- Q4 revenue was $51.6 million
- Headcount was cut from roughly 1,075 to about 700, and the roughly $135 million annualized cost-savings plan is substantially complete.
- Federal, defense, and aerospace bookings grew 134% year over year and now account for 55% of total bookings.
- Management targets positive free cash flow, non-GAAP profitability, and a return to growth
Key Features
C3 Agentic AI Platform
C3 AI now positions itself as "the agentic operating system for Enterprise AI," foregrounding real-time decision making and autonomous execution at scale.
- Data integration
- Model training & inference
- Deployment & operations
- Monitoring
- Governance
- C3 AI Studio (application development environment) and C3 Code (AI-driven app generation) have been added to the lineup.
Industry-Specific Applications
Pre-built applications:
- C3 AI Reliability
- C3 AI Inventory Optimization
- C3 AI Supply Network Risk
- C3 AI Energy Management
- C3 AI Anti-Money Laundering
- C3 AI ESG
Generative and Agentic AI
C3 Generative AI is model-agnostic and grounds answers in enterprise data via RAG. Through a Strategic Integrator Program with partners such as Cathexis and stc Kuwait, C3 AI is expanding agentic AI delivery through third parties.
Major Deployments
The company now features US Army, US Air Force, NATO, the Royal Navy, the Royal Air Force, and the Defense Logistics Agency among its headline customers.
- US Army and US Air Force
- NATO, Royal Navy, Royal Air Force
- Shell
- Baker Hughes
- Koch Industries
Pricing
Enterprise-only, no public pricing:
- Custom contracts
- Hundreds of thousands to millions annually
- Typically starts from a POC
Common Use Cases
- Manufacturing equipment reliability prediction
- Energy demand forecasting
- Financial services anti-money laundering
- Supply chain risk management
- Defense and aerospace predictive maintenance and logistics
Strengths
- ✅ Rich pre-built industry apps
- ✅ Growing federal, defense, and aerospace bookings
- ✅ Public company financial transparency
- ✅ C3 Agentic AI Platform takes you from data to governed agent execution
- ✅ Large cash reserves buy time for the turnaround
Weaknesses
- ❌ Revenue has contracted with a large GAAP operating loss
- ❌ Mid-restructuring, so the organization is in flux
- ❌ Very expensive, slow customization
- ❌ Low flexibility (dependent on pre-built apps)
- ❌ Intense competition from Palantir AIP
Official Resources
- Website: https://c3.ai
- NYSE: AI