Overview | ||||||
Supplier Slogan | Industrial IoT Data Platform | |||||
HQ Location | Singapore | United States | China | United States | Sri Lanka | India |
Year Founded | 2009 | 2012 | 2014 | 2013 | 2019 | |
Company Type | Private | Private | Private | Private | Private | Private |
Stock Ticker | ||||||
Revenue | < $10m | < $10m | < $10m | < $10m | < $10m | < $10m |
Employees | 11 - 50 | 51 - 200 | < 10 | < 10 | 11 - 50 | < 10 |
Website | Open website | Open website | Open website | Open website | Open website | Open website |
Company Description | A team of responsive and collaborative individuals with strong background in Data Science. Clients engage Everlytics to architect and develop solutions that have Big Data and/or Machine Learning as differentiating components. Everlytics has the required competency to manage challenges in collating data from disparate sources and build a scalable analytics platform. | Sight Machine specializes in manufacturing analytics and used by Global 500 companies to make better, faster decisions about their operations. Sight Machine's analytics platform, purpose-built for discrete and process manufacturing, uses Artificial Intelligence, Machine Learning, and advanced analytics to help address critical challenges in quality and productivity throughout the enterprise. The platform is powered by the industry's only Plant Digital Twin, which enables real-time visibility and actionable insights for every machine, line, and plant throughout an enterprise. Founded in Michigan in 2011 and expanded to the Bay Area in 2012, Sight Machine fuses the spirit of Silicon Valley technology innovation with rock-solid Detroit manufacturing. Our team includes the founders of Slashdot along with leadership from early Yahoo, Palantir, Tesla, Cisco, IBM, McKinsey, and Apple. | Scinan IoT is fully dedicated to research, develop new hardwares, softwares and solutions for Internet of Things. | NarrativeWave takes real-time operational data & auto-generates business insights to impact business decisions. NarrativeWave is the "last mile of analytics".
NarrativeWave provides F1000 Industrial Manufacturers and their customers (Utilities, Airlines, Power Generation Plants, Railroads, Heavy Equipment owners) with real-time operator intelligence to increase profitability of service contracts, decrease labor costs, reduce unplanned downtime, improve workforce optimization, and enhance customer service. | nCinga offer an all encompassing solution for the apparel, manufacturing and telecommunication industries, with an integrated digital ecosystem built on "nCinga Spark" the platform that enables fast data insights. | 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 | Predictive Analytics for Everyone Everlytics simplifies statistical modelling and predictive sciences by handling the intricacies and providing their clients complete directional control over the solution. Through years of collective experience, Everlytics can translate business problems into analytics-enabled solutions by arriving at the optimal design and approach to the problem, choosing the right modelling techniques and keeping the end solution highly relevant and actionable. Machine Learning on Big Data Building a Big Data ecosystem is not only creating a system where terabytes of data can be stored and queried in seconds. It also involves using that processing power to build innovative Machine Learning solutions to predict future outcomes. All big data tools offer libraries to do Machine Learning tasks. Everlytics is an expert in using such tools, as well as improvising them and building new algorithms, Big Data Backends Companies adopt Big Data not because they want to but they have to as traditional systems cannot handle the processing speeds and volumes that Big Data tools can. Our clients rely on us for architecting and implementing their Big Data platforms. A typical engagement starts with consulting on the appropriate tech stack. For example, • Which MPP backend is suitable for storing and querying millisecond level financial ticker data? • The right storage and query engine (OLTP & OLAP) for big data graphs? • Index and search terabytes of textual data in subseconds. Etc. | The Sight Machine Platform
Sight Machine enables companies to gain real-time visibility and actionable insights for every part, machine, line, and plant throughout a manufacturing enterprise. Our analytics platform enables manufacturers to use all of their data―no matter where or in what format it’s created. We do this with an automated and systematic data intake process that acquires, refines, and contextualizes data, creating a digital twin of each part and process.
Manufacturing Analytics Applications
Unlocks the next level of Digital Manufacturing by delivering advanced analytics for improved productivity, quality, and supply chain optimization.
Manufacturing Visibility Applications
Real-time visibility of factory and machine performance from across your company delivered on an intelligent, secure, and scalable platform.
FactoryTX Edge and FactoryTX Cloud
FactoryTX Edge and FactoryTX Cloud help manufacturers rapidly deploy and extend Digital Manufacturing capabilities throughout their enterprise. | Scinan IoT has established a Cloud Computing platform can be seemlessly integrated with major IoT cloud platform in Chinese market. Scinan IoT also provide IoT solutions to enterprises and manufacuring companies to help them better integrating IoT solutions. | Tracer
To be operating as a Smart Factory all information and data from the manufacturing process needs to be available and analysed in real time for immediate decision making. With Tracer we bring the capability of real-time operational insights to your fingertips. The visibility gained through Tracer will empower data-driven decisions and real-time access to your production data.
TopSpin
Topspin allows clients to focus on the high-value work by eliminating epetitive tedious work using smart automation technologies. The product not only make employees concentrate on their core business functions, it also increases efficiency and productivity by reducing operational time and eliminating errors. | 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 | ||||||
Subsidiary | ||||||
Parent Company | ||||||
IoT Snapshot | ||||||
Technologies | Analytics & ModelingApplication Infrastructure & Middleware | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS) | Analytics & ModelingInfrastructure as a Service (IaaS)Processors & Edge Intelligence | Analytics & ModelingApplication Infrastructure & Middleware | Analytics & ModelingApplication Infrastructure & MiddlewareAutomation & ControlFunctional Applications | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Automation & ControlFunctional ApplicationsRobots |
Industries | AutomotiveChemicalsFood & BeverageGlassPackaging | AgricultureAutomotiveElectrical GridsHealthcare & HospitalsSecurity & Public Safety | ||||
Use Cases | Advanced Production Planning and SchedulingDigital Twin | Edge Computing & Edge Intelligence | Manufacturing System AutomationPredictive Maintenance | |||
Functions | Business OperationProcess Manufacturing | MaintenanceQuality Assurance | ||||
Services | Cloud Planning, Design & Implementation ServicesSoftware Design & Engineering Services | Data Science ServicesSoftware Design & Engineering Services | Cloud Planning, Design & Implementation ServicesSystem IntegrationData Science Services | |||
Technology Stack | ||||||
Infrastructure as a Service (IaaS) | None | None | Moderate | None | None | None |
Platform as a Service (PaaS) | None | Minor | None | None | None | Moderate |
Application Infrastructure & Middleware | Minor | Minor | None | Minor | Minor | Minor |
Analytics & Modeling | Moderate | Moderate | Moderate | Moderate | Moderate | Moderate |
Functional Applications | None | None | None | None | Minor | Minor |
Cybersecurity & Privacy | None | None | None | None | None | None |
Networks & Connectivity | None | None | None | None | None | None |
Processors & Edge Intelligence | None | None | Minor | None | None | None |
Sensors | None | None | None | None | None | None |
Automation & Control | None | None | None | None | Minor | 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 | HuaweiZTE | Amazon Web ServicesMicrosoft AzureBosch Connected Devices and Solutions GmbHGoogleTeltonikaWAGO |
Overview | ||||||
Supplier Slogan | Industrial IoT Data Platform | |||||
HQ Location | Singapore | United States | China | United States | Sri Lanka | India |
Year Founded | 2009 | 2012 | 2014 | 2013 | 2019 | |
Company Type | Private | Private | Private | Private | Private | Private |
Stock Ticker | ||||||
Revenue | < $10m | < $10m | < $10m | < $10m | < $10m | < $10m |
Employees | 11 - 50 | 51 - 200 | < 10 | < 10 | 11 - 50 | < 10 |
Website | Open website | Open website | Open website | Open website | Open website | Open website |
Company Description | A team of responsive and collaborative individuals with strong background in Data Science. Clients engage Everlytics to architect and develop solutions that have Big Data and/or Machine Learning as differentiating components. Everlytics has the required competency to manage challenges in collating data from disparate sources and build a scalable analytics platform. | Sight Machine specializes in manufacturing analytics and used by Global 500 companies to make better, faster decisions about their operations. Sight Machine's analytics platform, purpose-built for discrete and process manufacturing, uses Artificial Intelligence, Machine Learning, and advanced analytics to help address critical challenges in quality and productivity throughout the enterprise. The platform is powered by the industry's only Plant Digital Twin, which enables real-time visibility and actionable insights for every machine, line, and plant throughout an enterprise. Founded in Michigan in 2011 and expanded to the Bay Area in 2012, Sight Machine fuses the spirit of Silicon Valley technology innovation with rock-solid Detroit manufacturing. Our team includes the founders of Slashdot along with leadership from early Yahoo, Palantir, Tesla, Cisco, IBM, McKinsey, and Apple. | Scinan IoT is fully dedicated to research, develop new hardwares, softwares and solutions for Internet of Things. | NarrativeWave takes real-time operational data & auto-generates business insights to impact business decisions. NarrativeWave is the "last mile of analytics".
NarrativeWave provides F1000 Industrial Manufacturers and their customers (Utilities, Airlines, Power Generation Plants, Railroads, Heavy Equipment owners) with real-time operator intelligence to increase profitability of service contracts, decrease labor costs, reduce unplanned downtime, improve workforce optimization, and enhance customer service. | nCinga offer an all encompassing solution for the apparel, manufacturing and telecommunication industries, with an integrated digital ecosystem built on "nCinga Spark" the platform that enables fast data insights. | 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 | Predictive Analytics for Everyone Everlytics simplifies statistical modelling and predictive sciences by handling the intricacies and providing their clients complete directional control over the solution. Through years of collective experience, Everlytics can translate business problems into analytics-enabled solutions by arriving at the optimal design and approach to the problem, choosing the right modelling techniques and keeping the end solution highly relevant and actionable. Machine Learning on Big Data Building a Big Data ecosystem is not only creating a system where terabytes of data can be stored and queried in seconds. It also involves using that processing power to build innovative Machine Learning solutions to predict future outcomes. All big data tools offer libraries to do Machine Learning tasks. Everlytics is an expert in using such tools, as well as improvising them and building new algorithms, Big Data Backends Companies adopt Big Data not because they want to but they have to as traditional systems cannot handle the processing speeds and volumes that Big Data tools can. Our clients rely on us for architecting and implementing their Big Data platforms. A typical engagement starts with consulting on the appropriate tech stack. For example, • Which MPP backend is suitable for storing and querying millisecond level financial ticker data? • The right storage and query engine (OLTP & OLAP) for big data graphs? • Index and search terabytes of textual data in subseconds. Etc. | The Sight Machine Platform
Sight Machine enables companies to gain real-time visibility and actionable insights for every part, machine, line, and plant throughout a manufacturing enterprise. Our analytics platform enables manufacturers to use all of their data―no matter where or in what format it’s created. We do this with an automated and systematic data intake process that acquires, refines, and contextualizes data, creating a digital twin of each part and process.
Manufacturing Analytics Applications
Unlocks the next level of Digital Manufacturing by delivering advanced analytics for improved productivity, quality, and supply chain optimization.
Manufacturing Visibility Applications
Real-time visibility of factory and machine performance from across your company delivered on an intelligent, secure, and scalable platform.
FactoryTX Edge and FactoryTX Cloud
FactoryTX Edge and FactoryTX Cloud help manufacturers rapidly deploy and extend Digital Manufacturing capabilities throughout their enterprise. | Scinan IoT has established a Cloud Computing platform can be seemlessly integrated with major IoT cloud platform in Chinese market. Scinan IoT also provide IoT solutions to enterprises and manufacuring companies to help them better integrating IoT solutions. | Tracer
To be operating as a Smart Factory all information and data from the manufacturing process needs to be available and analysed in real time for immediate decision making. With Tracer we bring the capability of real-time operational insights to your fingertips. The visibility gained through Tracer will empower data-driven decisions and real-time access to your production data.
TopSpin
Topspin allows clients to focus on the high-value work by eliminating epetitive tedious work using smart automation technologies. The product not only make employees concentrate on their core business functions, it also increases efficiency and productivity by reducing operational time and eliminating errors. | 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 | ||||||
Subsidiary | ||||||
Parent Company | ||||||
IoT Snapshot | ||||||
Technologies | Analytics & ModelingApplication Infrastructure & Middleware | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS) | Analytics & ModelingInfrastructure as a Service (IaaS)Processors & Edge Intelligence | Analytics & ModelingApplication Infrastructure & Middleware | Analytics & ModelingApplication Infrastructure & MiddlewareAutomation & ControlFunctional Applications | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Automation & ControlFunctional ApplicationsRobots |
Industries | AutomotiveChemicalsFood & BeverageGlassPackaging | AgricultureAutomotiveElectrical GridsHealthcare & HospitalsSecurity & Public Safety | ||||
Use Cases | Advanced Production Planning and SchedulingDigital Twin | Edge Computing & Edge Intelligence | Manufacturing System AutomationPredictive Maintenance | |||
Functions | Business OperationProcess Manufacturing | MaintenanceQuality Assurance | ||||
Services | Cloud Planning, Design & Implementation ServicesSoftware Design & Engineering Services | Data Science ServicesSoftware Design & Engineering Services | Cloud Planning, Design & Implementation ServicesSystem IntegrationData Science Services | |||
Technology Stack | ||||||
Infrastructure as a Service (IaaS) | None | None | Moderate | None | None | None |
Platform as a Service (PaaS) | None | Minor | None | None | None | Moderate |
Application Infrastructure & Middleware | Minor | Minor | None | Minor | Minor | Minor |
Analytics & Modeling | Moderate | Moderate | Moderate | Moderate | Moderate | Moderate |
Functional Applications | None | None | None | None | Minor | Minor |
Cybersecurity & Privacy | None | None | None | None | None | None |
Networks & Connectivity | None | None | None | None | None | None |
Processors & Edge Intelligence | None | None | Minor | None | None | None |
Sensors | None | None | None | None | None | None |
Automation & Control | None | None | None | None | Minor | 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 | HuaweiZTE | Amazon Web ServicesMicrosoft AzureBosch Connected Devices and Solutions GmbHGoogleTeltonikaWAGO |