Overview | ||||||
| Supplier Slogan | No PhD required | Full-Stack Development Platform for the Internet of Things | Advanced Human Emotion Sensing Products for Business. | Industrial IoT Data Platform | ||
| HQ Location | United States | United States | United States | United Kingdom | Portugal | India |
| Year Founded | 2015 | 2009 | 2008 | 2016 | 2012 | 2019 |
| Company Type | Private | Private | Public | Private | Private | Private |
| Stock Ticker | NYSE:CLDR | |||||
| Revenue | $10-100m | $100m-1b | $100m-1b | < $10m | < $10m | < $10m |
| Employees | < 10 | 201 - 1,000 | 1,001 - 10,000 | < 10 | 11 - 50 | < 10 |
| Website | Open website | Open website | Open website | Open website | Open website | Open website |
| Company Description | We are a team of dedicated data engineers, developers and data scientists that work together to help companies solve a plethora of issues with help from the use of artificial intelligence, quantum computing, and machine learning. | 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 | Cloudera delivers an Enterprise Data Cloud for any data, anywhere, from the Edge to AI.Cloudera was founded in 2008 by some of the brightest minds at Silicon Valley’s leading companies, including Google (Christophe Bisciglia), Yahoo! (Amr Awadallah), Oracle (Mike Olson), and Facebook (Jeff Hammerbacher). Doug Cutting, co-creator of Hadoop, joined the company in 2009 as Chief Architect and remains in that role. Today, Cloudera has more than 1,600 employees. They have offices in 24 countries around the globe, with their headquarters in Palo Alto, California. | This initiative is developing new IoT (Internet of Things) technology that will significantly enhance the reliability and effectiveness of measuring human emotional responses to their surrounding physical environment.
Sensing Feeling develops advanced IoT sensor technology powered by computer vision and deep-learning/AI to passively determine customer emotional response to the environment provided to them by our clients, helping them understand how engaged and delighted they are with the products and services provided to them, with potentially disruptive applications within health, education, in-store retail, corporate workspaces, and travel & leisure sectors. | Enging provides smart online monitoring solutions based on Predictive Maintenance for industrial electrical machines. The continuous working of Enging provides a paradigm shift in the maintenance industry, enabling the management of these assets to be done in a much more economical, efficient and simple manner. Enging was founded in 2011 and is based in Coimbra, Portugal. | Industrial data platformThe ConnectedThinks Industrial data platform is capable of connecting to multiple industrial data sources, correlating and transforming the data into useful insights, and helping improve the efficiency of your industrial business. Edge ConnectorsThe edge-connectors suite is a middleware deployable on ARM or X86-based Industrial edge IoT gateways. It enables quick connection and rapid onboarding of various assets such as machinery, sensors, asset trackers, Bluetooth beacons, and IP Video streams as well as OT assets such as PLC, SCADA, CNC, and HMI – to name a few. It offers secure device management and remote connection.
Data PlatformThe ConnectedThinks data platform is a modern technology stack, built-to-scale to ingest and process high-speed, high-density, and real-time industrial data. Its functionality could be split into 3 primary parts – the data-ingest, the data-transform-&-store, and the data-query part.
Data visualization & BIConnectedThinks platform offers a custom-built visualization engine, built from the ground up to serve the specific requirements of industrial operations which demand a combination of real-time diagnostic monitoring for high-speed data, a SCADA-like monitoring system with visual aids and historical data analytics with data ranging from a few weeks to couple years. It is built on top of front-end REACT-js libraries along with Authentication and fine-grain access Authorization to deliver a secure web portal that is accessible from any corner of the world. The platform is also pre-integrated with Apache Superset and offers embedded dashboards as well as quick drag-and-drop data exploration. The prestodb query engine ODBC connectors enable you to import and explore data from your existing BI solutions such as Tableau, Looker, PowerBI, etc, |
| IoT Solutions | SKY LABS
Sky Labs is responsible for developing aircraft predictive maintenance, unmanned flying aircraft, and autonomous flying drones. Predictive analytics and fault diagnostics of high-value engineering systems often involve processing of real-time sensor data to deduct impeding or hidden problems within the underlying system.
OCEAN LABS
Ocean labs is developing solutions for the marine and shipping industry. These solutions will provide tools for autonomous ship navigation and man-over-board detections system.
EARTH LABS
Earth labs is developing tools that will be used in agriculture and green energy. There are many areas of agriculture and green energy that AI will have the potential to revolutionize. AI-powered tools for agriculture and green energy will be able to make more intelligent decisions.
BODY LABS
Body Labs is developing solutions to augment doctors ability to detect cancer and illness with higher accuracy. | 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. | Cloudera Data Platform, the industry’s first enterprise data cloud
CDP manages and secures the data lifecycle across all major public clouds and the private cloud―seamlessly connecting on-premises environments to public clouds for a hybrid experience. IT can deliver the speed and agility the business wants thanks to CDP’s ability to:
- Control cloud costs with auto scale, suspend, and resume
- Optimize workloads based on analytics and machine learning
- View data lineage across any cloud and transient clusters
- Use a single pane of glass across hybrid and multi-clouds
- Scale to petabytes of data and thousands of diverse users | Machine Vision
Be alerted to early signs of stress and physical fatigue of workers in factory and industrial work stations | Exclusively using electrical variables and based on the latest IIoT technologies, Enging develops disruptive, non-invasive and real-time monitoring solutions, that allow for an extremely precocious and accurate online fault detection through an user-friendly web platform, ePreditMntc?. With this innovative condition monitoring platform, our customers can effectively manage the performance and anticipate failures in their assets.
Electric Motors Monitoring;
Power Transformers Monitoring;
Distribution Transformers Monitoring. | Industrial data solutionConnectedThinks offers pre-built solutions to specific industries. All these solutions are built on-top of the Industrial data-platform and can be deployed and commisioned in matter of couple weeks. Reach out to us to discuss your specific requirements. Manufacturing data analyticsFactories generate large amounts of data. A single PLC node in the factory could provide significant information about the health of the equipment and system it is driving. This information could significantly reduce the maintenance cost or avoid losses.
Vision and Sound Machine LearningVision and Sound are 2 important systems for inspection in industrial environments. ConnectedThinks offers ML-based solutions built with data from relatively cheaper IP surveillance cameras and microphones. These help to become the Eyes and Ears for your industrial setup.
AMR, AGV and warehouse solutionsWith new robotics technology opening doors for companies of all sizes, autonomous mobile robots (AMRs) and automation are becoming more popular in the manufacturing industry. Changing economic conditions, shortage in the supply of manual labor, and multiple such factors have led manufacturers to adopt an aggressive strategy to automate their workflows. The ConnectedThinks Edge Middleware is deployed on an Edge Compute Device and enables multiple edge functionalities such as Machine Learning predictions, device connectivity drivers, industrial interface protocols, network connectivity, etc. It is capable of running on Intel or ARM-based edge processors running Linux. It is also capable of running Edge analytics for data that is collected and localized to the edge. More often than not, AMRs are deployed on factory floors where they need to collaborate with other equipment in order to complete a job. For example, an AMR which needs to transfer goods across multiple floors needs to collaborate with the automated-lift system. Or the AMR needs to collaborate with the conveyor system for the loading and unloading of goods. Or in other cases, a bar-code scanner attached to the AMR would determine the destination. In all such cases, additional software logic and/or hardware Edge Gateways would be needed to connect to various machinery and equipment and help the AMR collaborate. |
| Key Customers | IBM | Enel, ENGIE, Cisco, Exelon, Endesa, Eversource, Pella, PG&E, U.S. Department of State | Telefonica | |||
| Subsidiary | ||||||
| Parent Company | ||||||
IoT Snapshot | ||||||
| Technologies | Analytics & ModelingApplication Infrastructure & Middleware | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Functional ApplicationsInfrastructure as a Service (IaaS)Sensors | Analytics & ModelingApplication Infrastructure & MiddlewareCybersecurity & PrivacyPlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & Middleware | Analytics & ModelingApplication Infrastructure & MiddlewareFunctional Applications | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Automation & ControlFunctional ApplicationsRobots |
| Industries | AerospaceElectrical GridsEquipment & MachineryFinance & InsuranceHealthcare & HospitalsOil & GasRetailTelecommunicationsTransportationUtilities | Oil & GasTelecommunications | Marine & ShippingOil & GasRetailSecurity & Public SafetyTransportation | ElectronicsOil & GasRenewable EnergyUtilities | ||
| Use Cases | Advanced Metering InfrastructureBuilding Energy ManagementEnergy Management SystemFleet ManagementFraud DetectionPredictive MaintenancePredictive Quality AnalyticsRoot Cause Analysis & Diagnosis | Personnel Tracking & Monitoring | Predictive Maintenance | |||
| Functions | Business OperationFacility ManagementLogistics & TransportationMaintenanceProcess Manufacturing | Business Operation | Quality Assurance | |||
| Services | Data Science Services | Data Science Services | Data Science Services | Training | Cloud Planning, Design & Implementation ServicesSystem IntegrationData Science Services | |
Technology Stack | ||||||
| Infrastructure as a Service (IaaS) | None | Minor | None | None | None | None |
| Platform as a Service (PaaS) | None | Strong | Moderate | None | None | Moderate |
| Application Infrastructure & Middleware | Minor | Moderate | Minor | Moderate | Minor | Minor |
| Analytics & Modeling | Minor | Moderate | Moderate | Moderate | Moderate | Moderate |
| Functional Applications | None | Moderate | None | None | Minor | Minor |
| Cybersecurity & Privacy | None | None | Minor | None | None | None |
| Networks & Connectivity | None | None | None | None | None | None |
| Processors & Edge Intelligence | None | None | None | None | None | None |
| Sensors | None | Moderate | None | None | None | None |
| Automation & Control | None | None | None | None | None | Moderate |
| Robots | None | None | None | None | None | Moderate |
| Drones | None | None | None | None | None | None |
| Wearables | None | None | None | None | None | None |
| Actuators | None | None | None | None | None | None |
| Other | None | None | None | None | None | None |
Similar Suppliers | ||||||
| Similar Suppliers | ||||||
Partners | ||||||
| Partners | IBMIBM Watson | AccentureAmazon Web Services | Amazon Web ServicesMicrosoft AzureBosch Connected Devices and Solutions GmbHGoogleTeltonikaWAGO |
Overview | ||||||
| Supplier Slogan | No PhD required | Full-Stack Development Platform for the Internet of Things | Advanced Human Emotion Sensing Products for Business. | Industrial IoT Data Platform | ||
| HQ Location | United States | United States | United States | United Kingdom | Portugal | India |
| Year Founded | 2015 | 2009 | 2008 | 2016 | 2012 | 2019 |
| Company Type | Private | Private | Public | Private | Private | Private |
| Stock Ticker | NYSE:CLDR | |||||
| Revenue | $10-100m | $100m-1b | $100m-1b | < $10m | < $10m | < $10m |
| Employees | < 10 | 201 - 1,000 | 1,001 - 10,000 | < 10 | 11 - 50 | < 10 |
| Website | Open website | Open website | Open website | Open website | Open website | Open website |
| Company Description | We are a team of dedicated data engineers, developers and data scientists that work together to help companies solve a plethora of issues with help from the use of artificial intelligence, quantum computing, and machine learning. | 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 | Cloudera delivers an Enterprise Data Cloud for any data, anywhere, from the Edge to AI.Cloudera was founded in 2008 by some of the brightest minds at Silicon Valley’s leading companies, including Google (Christophe Bisciglia), Yahoo! (Amr Awadallah), Oracle (Mike Olson), and Facebook (Jeff Hammerbacher). Doug Cutting, co-creator of Hadoop, joined the company in 2009 as Chief Architect and remains in that role. Today, Cloudera has more than 1,600 employees. They have offices in 24 countries around the globe, with their headquarters in Palo Alto, California. | This initiative is developing new IoT (Internet of Things) technology that will significantly enhance the reliability and effectiveness of measuring human emotional responses to their surrounding physical environment.
Sensing Feeling develops advanced IoT sensor technology powered by computer vision and deep-learning/AI to passively determine customer emotional response to the environment provided to them by our clients, helping them understand how engaged and delighted they are with the products and services provided to them, with potentially disruptive applications within health, education, in-store retail, corporate workspaces, and travel & leisure sectors. | Enging provides smart online monitoring solutions based on Predictive Maintenance for industrial electrical machines. The continuous working of Enging provides a paradigm shift in the maintenance industry, enabling the management of these assets to be done in a much more economical, efficient and simple manner. Enging was founded in 2011 and is based in Coimbra, Portugal. | Industrial data platformThe ConnectedThinks Industrial data platform is capable of connecting to multiple industrial data sources, correlating and transforming the data into useful insights, and helping improve the efficiency of your industrial business. Edge ConnectorsThe edge-connectors suite is a middleware deployable on ARM or X86-based Industrial edge IoT gateways. It enables quick connection and rapid onboarding of various assets such as machinery, sensors, asset trackers, Bluetooth beacons, and IP Video streams as well as OT assets such as PLC, SCADA, CNC, and HMI – to name a few. It offers secure device management and remote connection.
Data PlatformThe ConnectedThinks data platform is a modern technology stack, built-to-scale to ingest and process high-speed, high-density, and real-time industrial data. Its functionality could be split into 3 primary parts – the data-ingest, the data-transform-&-store, and the data-query part.
Data visualization & BIConnectedThinks platform offers a custom-built visualization engine, built from the ground up to serve the specific requirements of industrial operations which demand a combination of real-time diagnostic monitoring for high-speed data, a SCADA-like monitoring system with visual aids and historical data analytics with data ranging from a few weeks to couple years. It is built on top of front-end REACT-js libraries along with Authentication and fine-grain access Authorization to deliver a secure web portal that is accessible from any corner of the world. The platform is also pre-integrated with Apache Superset and offers embedded dashboards as well as quick drag-and-drop data exploration. The prestodb query engine ODBC connectors enable you to import and explore data from your existing BI solutions such as Tableau, Looker, PowerBI, etc, |
| IoT Solutions | SKY LABS
Sky Labs is responsible for developing aircraft predictive maintenance, unmanned flying aircraft, and autonomous flying drones. Predictive analytics and fault diagnostics of high-value engineering systems often involve processing of real-time sensor data to deduct impeding or hidden problems within the underlying system.
OCEAN LABS
Ocean labs is developing solutions for the marine and shipping industry. These solutions will provide tools for autonomous ship navigation and man-over-board detections system.
EARTH LABS
Earth labs is developing tools that will be used in agriculture and green energy. There are many areas of agriculture and green energy that AI will have the potential to revolutionize. AI-powered tools for agriculture and green energy will be able to make more intelligent decisions.
BODY LABS
Body Labs is developing solutions to augment doctors ability to detect cancer and illness with higher accuracy. | 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. | Cloudera Data Platform, the industry’s first enterprise data cloud
CDP manages and secures the data lifecycle across all major public clouds and the private cloud―seamlessly connecting on-premises environments to public clouds for a hybrid experience. IT can deliver the speed and agility the business wants thanks to CDP’s ability to:
- Control cloud costs with auto scale, suspend, and resume
- Optimize workloads based on analytics and machine learning
- View data lineage across any cloud and transient clusters
- Use a single pane of glass across hybrid and multi-clouds
- Scale to petabytes of data and thousands of diverse users | Machine Vision
Be alerted to early signs of stress and physical fatigue of workers in factory and industrial work stations | Exclusively using electrical variables and based on the latest IIoT technologies, Enging develops disruptive, non-invasive and real-time monitoring solutions, that allow for an extremely precocious and accurate online fault detection through an user-friendly web platform, ePreditMntc?. With this innovative condition monitoring platform, our customers can effectively manage the performance and anticipate failures in their assets.
Electric Motors Monitoring;
Power Transformers Monitoring;
Distribution Transformers Monitoring. | Industrial data solutionConnectedThinks offers pre-built solutions to specific industries. All these solutions are built on-top of the Industrial data-platform and can be deployed and commisioned in matter of couple weeks. Reach out to us to discuss your specific requirements. Manufacturing data analyticsFactories generate large amounts of data. A single PLC node in the factory could provide significant information about the health of the equipment and system it is driving. This information could significantly reduce the maintenance cost or avoid losses.
Vision and Sound Machine LearningVision and Sound are 2 important systems for inspection in industrial environments. ConnectedThinks offers ML-based solutions built with data from relatively cheaper IP surveillance cameras and microphones. These help to become the Eyes and Ears for your industrial setup.
AMR, AGV and warehouse solutionsWith new robotics technology opening doors for companies of all sizes, autonomous mobile robots (AMRs) and automation are becoming more popular in the manufacturing industry. Changing economic conditions, shortage in the supply of manual labor, and multiple such factors have led manufacturers to adopt an aggressive strategy to automate their workflows. The ConnectedThinks Edge Middleware is deployed on an Edge Compute Device and enables multiple edge functionalities such as Machine Learning predictions, device connectivity drivers, industrial interface protocols, network connectivity, etc. It is capable of running on Intel or ARM-based edge processors running Linux. It is also capable of running Edge analytics for data that is collected and localized to the edge. More often than not, AMRs are deployed on factory floors where they need to collaborate with other equipment in order to complete a job. For example, an AMR which needs to transfer goods across multiple floors needs to collaborate with the automated-lift system. Or the AMR needs to collaborate with the conveyor system for the loading and unloading of goods. Or in other cases, a bar-code scanner attached to the AMR would determine the destination. In all such cases, additional software logic and/or hardware Edge Gateways would be needed to connect to various machinery and equipment and help the AMR collaborate. |
| Key Customers | IBM | Enel, ENGIE, Cisco, Exelon, Endesa, Eversource, Pella, PG&E, U.S. Department of State | Telefonica | |||
| Subsidiary | ||||||
| Parent Company | ||||||
IoT Snapshot | ||||||
| Technologies | Analytics & ModelingApplication Infrastructure & Middleware | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Functional ApplicationsInfrastructure as a Service (IaaS)Sensors | Analytics & ModelingApplication Infrastructure & MiddlewareCybersecurity & PrivacyPlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & Middleware | Analytics & ModelingApplication Infrastructure & MiddlewareFunctional Applications | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Automation & ControlFunctional ApplicationsRobots |
| Industries | AerospaceElectrical GridsEquipment & MachineryFinance & InsuranceHealthcare & HospitalsOil & GasRetailTelecommunicationsTransportationUtilities | Oil & GasTelecommunications | Marine & ShippingOil & GasRetailSecurity & Public SafetyTransportation | ElectronicsOil & GasRenewable EnergyUtilities | ||
| Use Cases | Advanced Metering InfrastructureBuilding Energy ManagementEnergy Management SystemFleet ManagementFraud DetectionPredictive MaintenancePredictive Quality AnalyticsRoot Cause Analysis & Diagnosis | Personnel Tracking & Monitoring | Predictive Maintenance | |||
| Functions | Business OperationFacility ManagementLogistics & TransportationMaintenanceProcess Manufacturing | Business Operation | Quality Assurance | |||
| Services | Data Science Services | Data Science Services | Data Science Services | Training | Cloud Planning, Design & Implementation ServicesSystem IntegrationData Science Services | |
Technology Stack | ||||||
| Infrastructure as a Service (IaaS) | None | Minor | None | None | None | None |
| Platform as a Service (PaaS) | None | Strong | Moderate | None | None | Moderate |
| Application Infrastructure & Middleware | Minor | Moderate | Minor | Moderate | Minor | Minor |
| Analytics & Modeling | Minor | Moderate | Moderate | Moderate | Moderate | Moderate |
| Functional Applications | None | Moderate | None | None | Minor | Minor |
| Cybersecurity & Privacy | None | None | Minor | None | None | None |
| Networks & Connectivity | None | None | None | None | None | None |
| Processors & Edge Intelligence | None | None | None | None | None | None |
| Sensors | None | Moderate | None | None | None | None |
| Automation & Control | None | None | None | None | None | Moderate |
| Robots | None | None | None | None | None | Moderate |
| Drones | None | None | None | None | None | None |
| Wearables | None | None | None | None | None | None |
| Actuators | None | None | None | None | None | None |
| Other | None | None | None | None | None | None |
Similar Suppliers | ||||||
| Similar Suppliers | ||||||
Partners | ||||||
| Partners | IBMIBM Watson | AccentureAmazon Web Services | Amazon Web ServicesMicrosoft AzureBosch Connected Devices and Solutions GmbHGoogleTeltonikaWAGO |