List of C3 IoT Platform Customers
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United States
Since 2010, our global team of researchers has been studying C3 IoT Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased C3 IoT Platform for IoT Platform from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using C3 IoT Platform for IoT Platform include: Enel Energia, a Italy based Utilities organisation with 61192 employees and revenues of $84.63 billion, Consolidated Edison, a United States based Utilities organisation with 15097 employees and revenues of $15.26 billion, Shell Service Stations UK, a United Kingdom based Oil, Gas and Chemicals organisation with 1812 employees and revenues of $4.00 billion and many others.
Contact us if you need a completed and verified list of companies using C3 IoT Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The C3 IoT Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Consolidated Edison | Utilities | 15097 | $15.3B | United States | C3.ai | C3 IoT Platform | IoT Platform | 2017 | n/a |
In 2017, Consolidated Edison deployed the C3 IoT Platform to ingest and operationalize meter-level AMI telemetry from millions of smart meters across the New York metro area. The implementation used the C3 IoT Platform together with the C3 AI AMI Operations application on the C3 AI Suite to centralize streaming smart meter data for utility grid-operations and customer-service use cases.
Functional capabilities implemented included voltage optimization, outage and anomaly detection, meter health monitoring, and customer-safety alerts. The IoT Platform supported high-volume streaming ingestion, time series processing, analytics and rule-based alerting to enable operational detection and field response workflows.
Integrations focused on AMI smart meter data streams and operational dispatch workflows for grid operations and customer service across Con Edison service territory. Governance and operational control were exercised through the AMI Operations application to route alerts and monitor meter health as part of grid-operations and customer-service processes. Vendor materials report estimated annual operational benefits of approximately $48.4M.
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Enel Energia | Utilities | 61192 | $84.6B | Italy | C3.ai | C3 IoT Platform | IoT Platform | 2019 | n/a |
In 2019, Enel Energia implemented the C3 IoT Platform, an IoT Platform from C3.ai, to establish a unified virtual data lake and deliver AI and IoT smart grid analytics. The initiative targeted retail, distribution, trading, renewables and conventional generation operations across Italy and Europe to improve operational decision-making and grid reliability.
The deployment leveraged the C3 AI Suite and prebuilt predictive and AMI analytics, configured to process high volume time series meter data and operational telemetry. Analytics capabilities were instrumented for forecasting, anomaly detection and predictive maintenance use cases, with model orchestration and batch and near real time scoring pipelines.
The C3 IoT Platform integrated ERP feeds, operational systems and meter data into a normalized virtual data lake, enabling a single analytics fabric for grid operations and commercial functions. This integration connected meter and SCADA telemetry to trading and retail data sets so forecasting and operational models could consume unified inputs.
Governance centered on centralized data ingestion standards, model lifecycle management and production deployment workflows, aligning data stewardship across business functions. The rollout established common data schemas and operational processes for model validation and release to field operations and control centers.
Enel Energia used the C3 IoT Platform IoT Platform to support grid operations, forecasting and operational efficiency, with explicit objectives to improve operational decision-making and grid reliability. The implementation emphasized analytics-driven operational workflows and cross-functional data governance to sustain ongoing model updates and analytics consumption by operations and trading teams.
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Shell Service Stations UK | Oil, Gas and Chemicals | 1812 | $4.0B | United Kingdom | C3.ai | C3 IoT Platform | IoT Platform | 2018 | n/a |
In 2018, Shell Service Stations UK implemented the C3 IoT Platform as part of a broader Shell deployment of C3.ai technology for industrial asset monitoring and reliability. The implementation aligns with Shell’s global-scale industrial operations program that monitors more than 10,000 pieces of equipment and ingests billions of sensor rows weekly, and the C3 IoT Platform is used for an IoT Platform class of capability supporting predictive maintenance use cases.
The deployment covers industrial operations and asset-reliability workflows across upstream, downstream and integrated gas asset classes, with functional focus on continuous telemetry ingestion, condition monitoring, and AI-driven predictive maintenance. Operational scope is described as global in vendor materials, and the implementation is positioned to support reliability teams and operational engineering functions responsible for asset health and failure prevention.
Module usage is described on the C3 AI platform stack and is inferred to include C3 AI Reliability for predictive maintenance model orchestration and asset health scoring, together with IoT data pipelines and operational analytics common to IoT Platform deployments. Configurations emphasize time-series telemetry processing, anomaly detection and model deployment pipelines that operationalize machine learning outputs for maintenance workflows.
Governance and rollout practices emphasize centralizing sensor data ingestion and model lifecycle coordination to support ongoing predictive maintenance operations across asset classes, with staged model management and operational handoff to reliability teams. The vendor-reported outcome is scaling predictive maintenance to monitor over 10,000 pieces of equipment and ingest billions of sensor rows weekly, demonstrating platform-level support for enterprise IoT and asset reliability use cases.
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Buyer Intent: Companies Evaluating C3 IoT Platform
- ENEL, a Italy based Utilities organization with 61192 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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