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C3 IoT
Full-Stack Development Platform for the Internet of Things
Overview
HQ Location
United States
Year Founded
2009
Company Type
Private
Revenue
$100m-1b
Employees
201 - 1,000
Website
Twitter Handle
Company Description
C3 IoT provides a full-stack IoT development platform (PaaS) that enables the rapid design, development, and deployment of even the largest-scale big data / IoT applications that leverage telemetry, elastic Cloud Computing, analytics, and Machine Learning to apply the power of predictive analytics to any business value chain.
C3 IoT also provides a family of turn-key SaaS IoT applications including Predictive Maintenance, fraud detection, sensor network health, supply chain optimization, investment planning, and customer engagement. Customers can use pre-built C3 IoT applications, adapt those applications using the platform’s toolset, or build custom applications using C3 IoT’s Platform as a Service.
Year founded: 2009
C3 IoT also provides a family of turn-key SaaS IoT applications including Predictive Maintenance, fraud detection, sensor network health, supply chain optimization, investment planning, and customer engagement. Customers can use pre-built C3 IoT applications, adapt those applications using the platform’s toolset, or build custom applications using C3 IoT’s Platform as a Service.
Year founded: 2009
IoT Solutions
The Internet of Things (IoT) and advanced Data Science are rewriting the rules of competition. The advantage goes to organizations that can convert petabytes of freshly arrived and historical data to predictions – more quickly and more accurately than their competitors. Payoffs include better product and service design, promotion, and pricing; optimized supply chains that avoid delays and increase output; reduced churn; higher average revenue per customer; and Predictive Maintenance that avoids downtime for vehicle fleets and manufacturing systems while lowering service costs.
To make sense of and act on the unprecedented volume, velocity, and variety of data in real time, companies are applying the sciences of big data, advanced analytics, Machine Learning, and Cloud Computing. Products themselves are being redesigned to accommodate connectivity and low-cost sensors, creating a market opportunity for adaptive systems, a new generation of smart applications, and a renaissance of business process reengineering. The new IT paradigm will reshape the value chain by transforming product design, marketing, manufacturing, and after-sale services.
C3 IoT offers a new generation of smart, real-time applications, overcoming the development challenges that have blocked companies from realizing the potential of the Internet of Things. Proven in more than 20 enterprise-scale production environments, the C3 IoT Platform is PaaS for the design, development, deployment, and operation of next-generation IoT applications and business processes.
To make sense of and act on the unprecedented volume, velocity, and variety of data in real time, companies are applying the sciences of big data, advanced analytics, Machine Learning, and Cloud Computing. Products themselves are being redesigned to accommodate connectivity and low-cost sensors, creating a market opportunity for adaptive systems, a new generation of smart applications, and a renaissance of business process reengineering. The new IT paradigm will reshape the value chain by transforming product design, marketing, manufacturing, and after-sale services.
C3 IoT offers a new generation of smart, real-time applications, overcoming the development challenges that have blocked companies from realizing the potential of the Internet of Things. Proven in more than 20 enterprise-scale production environments, the C3 IoT Platform is PaaS for the design, development, deployment, and operation of next-generation IoT applications and business processes.
Key Customers
Enel, ENGIE, Cisco, Exelon, Endesa, Eversource, Pella, PG&E, U.S. Department of State
IoT Snapshot
C3 IoT is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, analytics and modeling, functional applications, sensors, and infrastructure as a service (iaas) technologies, and also active in the aerospace, electrical grids, equipment and machinery, finance and insurance, healthcare and hospitals, oil and gas, retail, telecommunications, transportation, and utilities industries.
Technologies
Use Cases
Functional Areas
Industries
Services
Technology Stack
C3 IoT’s Technology Stack maps C3 IoT’s participation in the platform as a service (paas), application infrastructure and middleware, analytics and modeling, functional applications, sensors, and infrastructure as a service (iaas) IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
Case Studies.
Case Study
Vehicle Fleet Analytics
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.
Case Study
Large Oil Producer Leverages Advanced Analytics Platform
Approximately 17,000 wells in the customer's portfolio have beam pump artificial lift technology. While beam pump technology is relatively inexpensive compared to other artificial lift technology, beam pumps fail frequently, at rates ranging from 66% to 95% per year. Unexpected failures result in weeks of lost production, emergency maintenance expenses, and costly equipment replacements.
Case Study
Driving Network Efficiency and Fraud Detection Efforts
Baltimore Gas and Electric Company (BGE) wanted to optimize the deployment and ongoing health of its advanced metering infrastructure (AMI) network and identify and reduce unbilled energy usage. BGE wanted a solution to deliver an annual economic benefit of $20 million.
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Partners.
Supplier
Amazon Web Services
Amazon Web Services has developed the managed cloud platform AWS IoT to let connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS Endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.On top of this platform, AWS also offers a variety of analytics solutions by AWS or third-party suppliers that can help meet all kinds of needs related to data analysis.