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C3 IoT

Full-Stack Development Platform for the Internet of Things
United States
2009
Private
$100m-1b
201 - 1,000
Open website
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
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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.
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Enel, ENGIE, Cisco, Exelon, Endesa, Eversource, Pella, PG&E, U.S. Department of State
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C3 IoT is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, and analytics and modeling technologies, and also active in the aerospace, finance and insurance, healthcare and hospitals, oil and gas, retail, telecommunications, transportation, and utilities industries.
Technologies
Analytics & Modeling
Big Data Analytics
Machine Learning
Predictive Analytics
Platform as a Service (PaaS)
Device Management Platforms
Application Infrastructure & Middleware
Data Exchange & Integration
Use Cases
Energy Management System
Predictive Maintenance
Industries
Aerospace
Finance & Insurance
Healthcare & Hospitals
Oil & Gas
Retail
Telecommunications
Transportation
Utilities
C3 IoT’s Technology Stack maps C3 IoT’s participation in the platform as a service (paas), application infrastructure and middleware, and analytics and modeling IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting
    Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies10
Vehicle Fleet Analytics
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.
Large Oil Producer Leverages Advanced Analytics Platform
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.
Driving Network Efficiency and Fraud Detection Efforts
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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Number of Partners2
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