- Verified by BizGlocal
Broad Enterprise AI Suite For Predicting Equipment Failures, Optimizing Processes And Keeping Fleets Mission Ready
- 764 Employees
- Founded In 2009
- Redwood City, CA
- Serves 7+ Industries
About C3 AI
Industry leader in connected fleet operations
Market Position
A public company founded and led by Thomas M. Siebel, with a logo strip on its site that includes Shell, Dow, Holcim, Nucor, Koch, Baker Hughes, Con Edison, Duke Energy, GSK, the US Air Force, the US Army, NATO and the Royal Navy.
Innovation Focus
Time-series foundation models and machine learning for failure prediction, generative AI search and chat embedded in each application, and C3 Code, which the company says turns natural language into enterprise AI apps.
Core Strengths
An ontology-based data model that unifies sensors, documents and records, cloud, on-premise and air-gapped deployment, FedRAMP Moderate authorization and Impact Level 5 and 6 authority to operate on its Readiness page.
Use Cases
Predicting failures on rotating and process equipment, monitoring thousands of assets across plants, keeping military fleets available, tuning process setpoints and managing energy use.
Core Products & Solutions
C3 AI Reliability
Predictive failure detection using charting, time-series foundation models and machine learning, with automated root cause diagnostics, failure mode recommendations, ranked critical risk alerts, KPI dashboards and direct work order creation. The data sheet covers discrete, continuous, batch and semi-batch processes.
C3 AI Readiness
Predictive maintenance for fleet operators that estimates when and how components will fail from sensor data, maintenance records and parts inventory. It can be deployed to cloud, on-premise or air-gapped environments, and its page cites 3,110 US Air Force aircraft monitored across 16 platforms.
C3 AI Process Optimization
Recommends control setpoints at a chosen frequency using first-principles, physics, statistical and AI models, pulling from process historians, asset management systems and operating manuals.
C3 Agentic AI Platform And C3 AI Studio
The ontology-powered platform and development environment that every application runs on, used to design, build, deploy and govern enterprise AI.
C3 Code And C3 Generative AI
C3 Code builds enterprise AI applications from natural language, and C3 Generative AI answers questions grounded in company data with cited sources.
Energy Management, Field Services And Supply Chain Applications
The 10-K also lists Energy Management, Asset Connect, Field Services, Inventory Optimization, Demand Forecasting, Production Schedule Optimization and Supply Chain Orchestration, which extend beyond maintenance.
Pricing Overview
Initial Production Deployment
Operators proving value on a first set of assets or one site
Custom
Pricing
Custom quote, with an initial phase of up to six months
- The 10-K describes an initial production deployment phase of up to six months
- Reliability and Process Optimization pages cite about 6 months to deploy and scale across sites
- Starts with an application such as Reliability, Readiness or Process Optimization
- Runs on the C3 Agentic AI Platform
- No public price list is published
Subscription Plus Consumption
Teams moving from pilot into steady production use
Custom
Pricing
Custom quote, monthly fee plus consumption charges
- The 10-K says customers pay a monthly fee plus consumption charges
- Consumption is measured in vCPU and vGPU hours
- Revenue includes software licenses, SaaS, Center of Excellence support, and runtime and hosting fees
- Cost varies with data volume and model compute
- Confirm how consumption is metered before signing
Multi-Period Commitment
Enterprises and agencies that want fixed terms across several years
Custom
Pricing
Custom quote, time-certain commitment
- The 10-K describes time-certain multi-period commitments that may include consumption charges
- Suited to multi-site and government programs
- Cloud, on-premise and government cloud options are listed
- Professional services are largely delegated to partners
- A third-party Capterra listing, last updated August 2025, shows a starting price of $500,000 per feature, one time
Who Is C3 AI Best For?
Small Businesses
1-25 EmployeesRarely a fit. The pricing model, six-month deployment phase and platform scope suit large operators, and a Capterra listing describes the product as built for large enterprises. Smaller plants usually need a lighter sensor-based tool.
Mid-Market Companies
26-100 EmployeesA narrow fit. A company with a large, high-value asset base, such as a process plant or fleet, might justify it, but expect enterprise-style contracts and implementation work.
Enterprise Companies
100+ EmployeesThe core audience. Shell, Dow, Holcim, Flint Hills Resources and the US Air Force appear on its Reliability and Readiness pages, with multi-site scale, FedRAMP Moderate authorization and air-gapped options.
Industrial And Government Operators In Energy, Cement, Chemicals And Defense
Any SizeIts site highlights oil and gas, utilities, manufacturing, defense, federal and healthcare, and the Reliability page names Holcim, Shell, Dow and Flint Hills Resources.
Measurable Impact & Benefits
Up To 50%
Less Downtime
Reduction claimed on the C3 AI Reliability page, with no baseline or method given
$45M
Annual Benefit At Dow
Annual economic benefit stated on the Reliability page for Dow
10,000+
Assets At Shell
Assets monitored globally, per the Reliability page
3,110
Air Force Aircraft Monitored
Aircraft across 16 platforms, per the Readiness page, which says PANDA is the Air Force’s predictive maintenance system of record
Up To 99%
Less Alert Noise
Reduction in alert noise claimed on the Reliability page
Up To 93%
Of Failures Predicted
Share of centrifuge failures a Fortune 500 biopharma predicted in advance, per C3 AI’s customers page
60%
Lower Maintenance Costs
Reduction reported for an unnamed drug manufacturer on the customers page
1,100+
Critical Assets At Holcim
Assets monitored with predictive maintenance, alongside 85+ cement plants with AI deployed, per the home page
C3 AI Real reviews
Our Rating:
4.5/5
- Verified Users
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C3 AI’s Pros & Cons
Balanced evaluation to help you make an informed decision
Strengths
- Predictive failure detection with time-series foundation models and machine learning
- Automated root cause diagnostics, failure mode recommendations and work order creation
- Covers discrete, continuous, batch and semi-batch processes
- Related applications for readiness, process optimization, energy and field services
- Cloud, on-premise and air-gapped deployment, with FedRAMP Moderate and IL5 and IL6 authority to operate reported
- Large named deployments at Shell, Dow, Holcim and the US Air Force
- Named a Leader in the Verdantix 2025 Industrial AI Analytics Green Quadrant and in The Forrester Wave: AI Platforms, Q3 2026, per C3 AI
Limitations
- Revenue fell about 36% in fiscal 2026 and the GAAP net loss was $470.4 million
- Leadership changed twice in a year, which may raise vendor continuity questions
- Pricing is quote-only and consumption-based, which is hard to forecast
- Deployment and scale-out take about six months
- Its pages name no specific third-party CMMS or ERP integrations
- Public reviews are scarce, and the 10-K flags dependence on a limited number of customers
Our Verdict
C3 AI earns its place in BizGlocal’s Best in Features list for AI Predictive Maintenance because its public pages show the broadest application set in this batch. Reliability covers failure prediction, root cause diagnostics, ranked alerts, AI search and chat and work orders. Readiness, Process Optimization, Energy Management and Field Services sit on the same platform, with cloud, on-premise and air-gapped options and FedRAMP Moderate authorization. The rank rests on feature breadth, not on price, support or independent review scores. The caveats are significant. Fiscal 2026 revenue fell about 36% to $250.3 million, with a $470.4 million GAAP net loss. Tom Siebel stepped down as CEO in 2025 for health reasons, Stephen Ehikian took over on September 1, 2025, and Siebel resumed the CEO role on May 8, 2026 with Ehikian staying as president. Company results for the quarter ended July 31, 2026 show $52.4 million in revenue, positive free cash flow of $2.1 million and $651.1 million in cash. Pilot on your own assets, ask for references and price consumption in writing, and compare Uptake and Augury.
Resources
Resources & Documentation
Detailed materials for deeper evaluation
C3 AI Reliability
Predictive failure detection, root cause diagnostics and asset health views
C3 AI Readiness
Fleet predictive maintenance, PANDA and air-gapped deployment
C3 AI Process Optimization
Setpoint recommendations, yield and off-spec reduction claims
C3 AI Customers
Published customer stories and quantified results by industry
C3 AI Company
Company overview, mission and leadership
Fiscal 2026 Results
Revenue, net loss, cash and fiscal 2027 guidance
Fiscal Q1 2027 Results
Revenue, bookings, free cash flow and updated guidance
Annual Report (Form 10-K)
Employees, pricing model, applications, customer concentration and risk factors
What to Know
What to Know Before Buying
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Decide which critical assets and failure modes to model first -
Confirm sensor, maintenance record and parts data quality before kickoff
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Assign operations, reliability and IT owners, since professional services are largely delegated to partners
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Its pages describe sensor data, maintenance records, parts inventory, documents and process diagrams as inputs, and Process Optimization draws on process historians and asset management systems. They name no third-party CMMS or ERP, so ask for a named integration list.
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Holcim reports 3,100+ models and 85+ plants, and Shell reports 10,000+ assets monitored. Compute is billed by consumption, so scale affects cost.
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Ask about vCPU and vGPU consumption, hosting and runtime fees, Center of Excellence support, partner services, and what happens to price at renewal.
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Moving from another system means remapping data to the C3 ontology and retraining models. Ask how models and data are exported if you leave.
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Expect a monthly fee with consumption or a time-certain multi-period commitment. Given the company’s recent results, ask about continuity, support commitments and termination rights in writing.
Alternatives
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Uptake’s site lists Fleet, Defense, Tires and Custom Software with features such as Sensor Insights, Risk Explorer and Remote Diagnostics, and quote-based pricing apart from a $25 per vehicle per month AWS Marketplace listing, and it announced a planned Bosch acquisition on March 19, 2026, while C3 AI covers industrial plants and fleets on one platform.
Augury’s site lists Machine Health, Process Health and an Industrial AI Workforce of role-based agents, cites a Forrester TEI study with 310% ROI, and uses quote-based pricing, while C3 AI adds a wider enterprise application and platform portfolio.
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FAQ’s
Frequently Asked Questions
Common questions about C3 AI
C3 AI publishes no prices. Its 10-K describes a monthly fee plus consumption charges measured in vCPU and vGPU hours, or a time-certain multi-period commitment. A third-party Capterra listing shows $500,000 per feature, one time, but it was last updated in August 2025.
It is built for large enterprises and government agencies, and its pricing and deployment model reflect that. Smaller plants will likely find a lighter tool more practical.
Its Readiness page reports FedRAMP Moderate authorization and authority to operate at IL5, IL6, JWICS and SAP environments. Confirm scope, SOC 2 reports and data handling in writing.
It is a public company with $651.1 million in cash at July 31, 2026, but fiscal 2026 revenue fell about 36% and the GAAP net loss was $470.4 million. Its guidance for fiscal 2027 is $210 million to $240 million in revenue.
Thomas M. Siebel resumed the CEO role on May 8, 2026 and remains Chairman. Stephen Ehikian, who became CEO on September 1, 2025, continues as President.
Reliability targets industrial assets such as plant equipment, while Readiness targets fleet operators and cites 3,110 US Air Force aircraft. Both run on the C3 Agentic AI Platform.
Its pages describe unifying sensor data, maintenance records, parts inventory and documents, and Process Optimization uses process historians and asset management systems. They name no third-party CMMS or ERP, so request a named integration list.
Common alternatives include Uptake, Augury, Siemens, IBM and SAP, which differ in focus, deployment effort, pricing model and industry depth.