C3.ai
Large enterprises in asset-intensive industries such as manufacturing, oil and gas, utilities, defense, and healthcare that need AI-driven operational optimization and predictive maintenance.
Overview
C3 AI is an enterprise AI software company founded in 2009 and headquartered in Redwood City, California. The company provides the C3 Agentic AI Platform, a suite of prebuilt applications, and tools like C3 AI Studio and C3 Generative AI, designed to help large organizations turn operational data into real-time decision-making and autonomous execution. C3 AI serves industries including defense, maritime, manufacturing, federal government, oil and gas, utilities, and healthcare. The company is led by founder and CEO Thomas M. Siebel and has raised a total of $454M in funding over 11 rounds, with investors including BloombergNEF and BlackRock.
What it does
C3 AI offers an enterprise AI platform that unifies enterprise data, intelligent agents, and domain-specific AI models. The platform includes prebuilt applications such as C3 AI Reliability (predictive maintenance), C3 AI Production Schedule Optimization, C3 AI Demand Planning, C3 AI Process Optimization, C3 AI Inventory Optimization, and C3 AI Sourcing Optimization. C3 AI Studio is a development environment for building and deploying custom AI applications, while C3 Generative AI provides enterprise-grade generative AI grounded in proprietary data. C3 Code enables natural language to production-ready application development via autonomous agents. The platform is designed to support predictive maintenance, supply chain optimization, and other operational use cases across industries.
Key features
- Prebuilt AI applications for reliability, demand planning, production scheduling, process optimization, inventory optimization, and sourcing
- C3 Agentic AI Platform for building, deploying, and governing enterprise AI at scale
- C3 AI Studio development environment for designing and deploying custom AI applications
- C3 Generative AI with cited answers grounded in proprietary data
- C3 Code for natural language to production-ready application development
- Predictive failure detection using time series foundation models and machine learning
- Automated root cause diagnostics with failure mode identification
- AI-powered search and chat for asset context and insights
Use cases
- Predictive maintenance to reduce downtime and improve equipment effectiveness
- Production schedule optimization to increase throughput and yield
- Demand planning and inventory optimization for supply chain efficiency
- Process optimization to reduce energy consumption and emissions
- Sourcing optimization to achieve cost savings
- Generative AI for document processing, legal review, and sales insights
Pricing
Pricing is not publicly listed. Third-party sources indicate pilots typically range from $250K-$500K, and initial production deployments can cost $500K for a six-month term, with on-demand usage at $0.55 per vCPU/vGPU-hour. Cloud costs are separate.
Pricing is gathered from the company's public pages and may change. Check the vendor's site before buying.
Pros and cons
Strengths
- Proven deployments at scale, with customers like Dow, Shell, and Holcim reporting significant benefits
- Industry-specific applications grounded in domain expertise
- Strong partner ecosystem including hyperscalers and systems integrators
- C3 AI named #1 Leader in Verdantix 2025 Industrial AI Analytics Software report
- Flexible platform supporting both prebuilt and custom applications
Limitations
- Pricing is not publicly disclosed; typical pilots cost $250K-$500K and production deployments can be $500K or more
- Enterprise-focused with no self-serve or free tier
- Requires significant integration effort and investment
- Deployment and scaling may take several months
What sets it apart
- Ontology-powered agentic AI platform for enterprise-scale deployment
- Prebuilt applications encoding decades of domain expertise across industries
- Strategic Integrator Program allowing partners to license the platform and build their own applications with full IP rights
- Proven results in demanding environments, such as monitoring 10,000+ assets at Shell and 3,100+ AI models in production at Holcim
Ecosystem
Notable customers
Frequently asked questions
What industries does C3 AI serve?
C3 AI serves defense and intelligence, maritime, manufacturing, federal government, oil and gas, utilities, and healthcare and life sciences.
What are the main products offered by C3 AI?
C3 AI offers the C3 Agentic AI Platform, C3 AI Studio, C3 Generative AI, C3 Code, and a portfolio of prebuilt applications including C3 AI Reliability, C3 AI Production Schedule Optimization, C3 AI Demand Planning, C3 AI Process Optimization, C3 AI Inventory Optimization, and C3 AI Sourcing Optimization.
How does C3 AI pricing work?
C3 AI does not publicly list pricing. According to third-party sources, pilots typically cost between $250K and $500K, and initial production deployments can be $500K for a six-month term, with on-demand usage at $0.55 per vCPU/vGPU-hour. Cloud costs are separate.
Who are some notable customers of C3 AI?
Notable customers include Dow, Shell, Holcim, the U.S. Air Force, Baker Hughes, and Flint Hills Resources.
What is the C3 AI Strategic Integrator Program?
The Strategic Integrator Program allows integrators to license the C3 AI platform to build and resell their own Enterprise AI applications with full IP rights.
Sources
This profile was compiled from the company's own pages and public web research.
- https://c3.ai/
- https://c3.ai/products/applications/c3-ai-reliability
- https://c3.ai/customers
- https://c3.ai/company
Last researched August 11, 2026.
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