Overview
Supplier SloganNo PhD requiredFull-Stack Development Platform for the Internet of ThingsAdvanced Human Emotion Sensing Products for Business.Industrial IoT Data Platform
HQ LocationUnited StatesUnited StatesUnited StatesUnited KingdomPortugalIndia
Year Founded201520092008201620122019
Company TypePrivatePrivatePublicPrivatePrivatePrivate
Stock TickerNYSE:CLDR
Revenue$10-100m$100m-1b$100m-1b< $10m< $10m< $10m
Employees< 10201 - 1,0001,001 - 10,000< 1011 - 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 platform

The 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 Connectors

The 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 Platform

The 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.

The data-ingest part consists of a high-performant MQTT broker and a highly-scalable, multi-cluster Kafka messaging queue which together can ingest and process data at a very high speed.

The data-transform-&-storage part is built on top of Kafka KSQLdb and Apache Spark with real-time data transformation and the ability to integrate real-time machine-learning predictions for Anomaly Detection and other Predictive Maintenance tasks. The platform offers out-of-the-box connectors to store data on almost any database, data warehouse, or even into S3-storage compatible Data Lakes with efficient storage formats like PARQUET and AVRO.

The data-query part consists of multiple custom-built connectors to various SQL and pseudo-SQL databases and storages along with highly-scalable PRESTO (a.k.a prestodb)

Together it forms a complete Industry 4.0 offering for data intelligence and integration. The entire offering is built with Microservices and dockerized to make it suitable for deployment on-prem, private-cloud, or Public Cloud like AWS, Azure, or Google.

Data visualization & BI

ConnectedThinks 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 solution

ConnectedThinks 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 analytics

Factories 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.

ConnectedThinks Industrial data platform enables connecting data from every PLC, sensor, equipment, MES, ERP system, and even data from human staff and bringing this to a managed data platform in real-time. The platform enables configuring real-time correlation, transformation, trend analysis, and anomaly analysis on this data to transform it into insights that answer key business questions and alert in time to reduce cost and better quality.

You could connect CNCs from Controller systems such as Siemens Sinumerik 840D SL and monitor critical signals in real time. The real-time visualizations engine is capable of displaying high-frequency data captured from these CNCs.

Vision and Sound Machine Learning

Vision 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 solutions

With 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
TechnologiesAnalytics & ModelingApplication Infrastructure & MiddlewareAnalytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Functional ApplicationsInfrastructure as a Service (IaaS)SensorsAnalytics & ModelingApplication Infrastructure & MiddlewareCybersecurity & PrivacyPlatform as a Service (PaaS)Analytics & ModelingApplication Infrastructure & MiddlewareAnalytics & ModelingApplication Infrastructure & MiddlewareFunctional ApplicationsAnalytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Automation & ControlFunctional ApplicationsRobots
IndustriesAerospaceElectrical GridsEquipment & MachineryFinance & InsuranceHealthcare & HospitalsOil & GasRetailTelecommunicationsTransportationUtilitiesOil & GasTelecommunicationsMarine & ShippingOil & GasRetailSecurity & Public SafetyTransportationElectronicsOil & GasRenewable EnergyUtilities
Use CasesAdvanced Metering Infrastructure (AMI)Building Energy ManagementEnergy Management SystemFleet ManagementFraud DetectionPredictive MaintenancePredictive Quality AnalyticsRoot Cause Analysis & DiagnosisPersonnel Tracking & MonitoringPredictive Maintenance
FunctionsBusiness OperationFacility ManagementLogistics & TransportationMaintenanceProcess ManufacturingBusiness OperationQuality Assurance
ServicesData Science ServicesData Science ServicesData Science ServicesTrainingCloud Planning, Design & Implementation ServicesSystem IntegrationData Science Services

Technology Stack
Infrastructure as a Service (IaaS)NoneMinorNoneNoneNoneNone
Platform as a Service (PaaS)NoneStrongModerateNoneNoneModerate
Application Infrastructure & MiddlewareMinorModerateMinorModerateMinorMinor
Analytics & ModelingMinorModerateModerateModerateModerateModerate
Functional ApplicationsNoneModerateNoneNoneMinorMinor
Cybersecurity & PrivacyNoneNoneMinorNoneNoneNone
Networks & ConnectivityNoneNoneNoneNoneNoneNone
Processors & Edge IntelligenceNoneNoneNoneNoneNoneNone
SensorsNoneModerateNoneNoneNoneNone
Automation & ControlNoneNoneNoneNoneNoneModerate
RobotsNoneNoneNoneNoneNoneModerate
DronesNoneNoneNoneNoneNoneNone
WearablesNoneNoneNoneNoneNoneNone
ActuatorsNoneNoneNoneNoneNoneNone
OtherNoneNoneNoneNoneNoneNone

Similar Suppliers
Similar Suppliers

Partners
PartnersIBMIBM WatsonAccentureAmazon Web ServicesAmazon Web ServicesMicrosoft AzureBosch Connected Devices and Solutions GmbHGoogleTeltonikaWAGO

Overview
Supplier SloganNo PhD requiredFull-Stack Development Platform for the Internet of ThingsAdvanced Human Emotion Sensing Products for Business.Industrial IoT Data Platform
HQ LocationUnited StatesUnited StatesUnited StatesUnited KingdomPortugalIndia
Year Founded201520092008201620122019
Company TypePrivatePrivatePublicPrivatePrivatePrivate
Stock TickerNYSE:CLDR
Revenue$10-100m$100m-1b$100m-1b< $10m< $10m< $10m
Employees< 10201 - 1,0001,001 - 10,000< 1011 - 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 platform

The 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 Connectors

The 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 Platform

The 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.

The data-ingest part consists of a high-performant MQTT broker and a highly-scalable, multi-cluster Kafka messaging queue which together can ingest and process data at a very high speed.

The data-transform-&-storage part is built on top of Kafka KSQLdb and Apache Spark with real-time data transformation and the ability to integrate real-time machine-learning predictions for Anomaly Detection and other Predictive Maintenance tasks. The platform offers out-of-the-box connectors to store data on almost any database, data warehouse, or even into S3-storage compatible Data Lakes with efficient storage formats like PARQUET and AVRO.

The data-query part consists of multiple custom-built connectors to various SQL and pseudo-SQL databases and storages along with highly-scalable PRESTO (a.k.a prestodb)

Together it forms a complete Industry 4.0 offering for data intelligence and integration. The entire offering is built with Microservices and dockerized to make it suitable for deployment on-prem, private-cloud, or Public Cloud like AWS, Azure, or Google.

Data visualization & BI

ConnectedThinks 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 solution

ConnectedThinks 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 analytics

Factories 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.

ConnectedThinks Industrial data platform enables connecting data from every PLC, sensor, equipment, MES, ERP system, and even data from human staff and bringing this to a managed data platform in real-time. The platform enables configuring real-time correlation, transformation, trend analysis, and anomaly analysis on this data to transform it into insights that answer key business questions and alert in time to reduce cost and better quality.

You could connect CNCs from Controller systems such as Siemens Sinumerik 840D SL and monitor critical signals in real time. The real-time visualizations engine is capable of displaying high-frequency data captured from these CNCs.

Vision and Sound Machine Learning

Vision 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 solutions

With 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
TechnologiesAnalytics & ModelingApplication Infrastructure & MiddlewareAnalytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Functional ApplicationsInfrastructure as a Service (IaaS)SensorsAnalytics & ModelingApplication Infrastructure & MiddlewareCybersecurity & PrivacyPlatform as a Service (PaaS)Analytics & ModelingApplication Infrastructure & MiddlewareAnalytics & ModelingApplication Infrastructure & MiddlewareFunctional ApplicationsAnalytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Automation & ControlFunctional ApplicationsRobots
IndustriesAerospaceElectrical GridsEquipment & MachineryFinance & InsuranceHealthcare & HospitalsOil & GasRetailTelecommunicationsTransportationUtilitiesOil & GasTelecommunicationsMarine & ShippingOil & GasRetailSecurity & Public SafetyTransportationElectronicsOil & GasRenewable EnergyUtilities
Use CasesAdvanced Metering Infrastructure (AMI)Building Energy ManagementEnergy Management SystemFleet ManagementFraud DetectionPredictive MaintenancePredictive Quality AnalyticsRoot Cause Analysis & DiagnosisPersonnel Tracking & MonitoringPredictive Maintenance
FunctionsBusiness OperationFacility ManagementLogistics & TransportationMaintenanceProcess ManufacturingBusiness OperationQuality Assurance
ServicesData Science ServicesData Science ServicesData Science ServicesTrainingCloud Planning, Design & Implementation ServicesSystem IntegrationData Science Services

Technology Stack
Infrastructure as a Service (IaaS)NoneMinorNoneNoneNoneNone
Platform as a Service (PaaS)NoneStrongModerateNoneNoneModerate
Application Infrastructure & MiddlewareMinorModerateMinorModerateMinorMinor
Analytics & ModelingMinorModerateModerateModerateModerateModerate
Functional ApplicationsNoneModerateNoneNoneMinorMinor
Cybersecurity & PrivacyNoneNoneMinorNoneNoneNone
Networks & ConnectivityNoneNoneNoneNoneNoneNone
Processors & Edge IntelligenceNoneNoneNoneNoneNoneNone
SensorsNoneModerateNoneNoneNoneNone
Automation & ControlNoneNoneNoneNoneNoneModerate
RobotsNoneNoneNoneNoneNoneModerate
DronesNoneNoneNoneNoneNoneNone
WearablesNoneNoneNoneNoneNoneNone
ActuatorsNoneNoneNoneNoneNoneNone
OtherNoneNoneNoneNoneNoneNone

Similar Suppliers
Similar Suppliers

Partners
PartnersIBMIBM WatsonAccentureAmazon Web ServicesAmazon Web ServicesMicrosoft AzureBosch Connected Devices and Solutions GmbHGoogleTeltonikaWAGO
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