Overview
Supplier SloganIndustrial IoT Data Platform
HQ LocationUnited StatesUnited StatesSingaporeSri LankaUnited KingdomIndia
Year Founded201420122009201320152019
Company TypePrivatePrivatePrivatePrivatePrivatePrivate
Stock Ticker
Revenue< $10m< $10m< $10m< $10m< $10m< $10m
Employees< 1051 - 20011 - 5011 - 5011 - 50< 10
Website Open website Open website Open website Open website Open website Open website
Company Description
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.
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.

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.

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.
SenSat turns complex visual and spatial data into a real time simulated reality that helps computers solve real world problems. The cloud-based technology allows companies operating in physical domains, such as infrastructure construction, to make more informed decisions based on multiple variables at large scale and complexity. SenSat call this ??òVisual Intelligence???, a subset of Artificial Intelligence focussed on teaching computers how to understand and interact with the real world.Their simulated realities replicate real-world locations in real time, bringing clarity to complex visual and spatial data. This helps you to make smarter, faster and safer decisions based on real world information. Their cloud-based technology Mapp? allows companies operating in physical domains to make more informed decisions based on multiple variables at large scale and complexity.

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
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.

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.

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.
Efficient teams collaborate on Mapp? Large infrastructure companies automate manual workflows with Mapp? and make better, more informed decisions based on real site data Demo Mapp?

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
Highways england, mace, murphy, bam nuttall, kier, network rail, Mott Macdonald
Subsidiary
Parent Company

IoT Snapshot
TechnologiesAnalytics & ModelingApplication Infrastructure & MiddlewareAnalytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Analytics & ModelingApplication Infrastructure & MiddlewareAnalytics & ModelingApplication Infrastructure & MiddlewareAutomation & ControlFunctional ApplicationsAnalytics & ModelingApplication Infrastructure & MiddlewareFunctional ApplicationsNetworks & ConnectivitySensorsAnalytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Automation & ControlFunctional ApplicationsRobots
IndustriesAutomotiveChemicalsFood & BeverageGlassPackagingSecurity & Public Safety
Use CasesManufacturing System AutomationPredictive MaintenanceAdvanced Production Planning and SchedulingDigital TwinInfrastructure InspectionPersonnel Tracking & MonitoringTrack & Trace of Assets
FunctionsBusiness OperationProcess ManufacturingMaintenanceQuality Assurance
ServicesCloud Planning, Design & Implementation ServicesSoftware Design & Engineering ServicesCloud Planning, Design & Implementation ServicesCloud Planning, Design & Implementation ServicesSystem IntegrationData Science Services

Technology Stack
Infrastructure as a Service (IaaS)NoneNoneNoneNoneNoneNone
Platform as a Service (PaaS)NoneMinorNoneNoneNoneModerate
Application Infrastructure & MiddlewareMinorMinorMinorMinorMinorMinor
Analytics & ModelingModerateModerateModerateModerateModerateModerate
Functional ApplicationsNoneNoneNoneMinorMinorMinor
Cybersecurity & PrivacyNoneNoneNoneNoneNoneNone
Networks & ConnectivityNoneNoneNoneNoneMinorNone
Processors & Edge IntelligenceNoneNoneNoneNoneNoneNone
SensorsNoneNoneNoneNoneMinorNone
Automation & ControlNoneNoneNoneMinorNoneModerate
RobotsNoneNoneNoneNoneNoneModerate
DronesNoneNoneNoneNoneNoneNone
WearablesNoneNoneNoneNoneNoneNone
ActuatorsNoneNoneNoneNoneNoneNone
OtherNoneNoneNoneNoneNoneNone

Similar Suppliers
Similar Suppliers

Partners
PartnersAmazon Web ServicesMicrosoft AzureBosch Connected Devices and Solutions GmbHGoogleTeltonikaWAGO

Overview
Supplier SloganIndustrial IoT Data Platform
HQ LocationUnited StatesUnited StatesSingaporeSri LankaUnited KingdomIndia
Year Founded201420122009201320152019
Company TypePrivatePrivatePrivatePrivatePrivatePrivate
Stock Ticker
Revenue< $10m< $10m< $10m< $10m< $10m< $10m
Employees< 1051 - 20011 - 5011 - 5011 - 50< 10
Website Open website Open website Open website Open website Open website Open website
Company Description
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.
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.

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.

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.
SenSat turns complex visual and spatial data into a real time simulated reality that helps computers solve real world problems. The cloud-based technology allows companies operating in physical domains, such as infrastructure construction, to make more informed decisions based on multiple variables at large scale and complexity. SenSat call this ??òVisual Intelligence???, a subset of Artificial Intelligence focussed on teaching computers how to understand and interact with the real world.Their simulated realities replicate real-world locations in real time, bringing clarity to complex visual and spatial data. This helps you to make smarter, faster and safer decisions based on real world information. Their cloud-based technology Mapp? allows companies operating in physical domains to make more informed decisions based on multiple variables at large scale and complexity.

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
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.

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.

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.
Efficient teams collaborate on Mapp? Large infrastructure companies automate manual workflows with Mapp? and make better, more informed decisions based on real site data Demo Mapp?

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
Highways england, mace, murphy, bam nuttall, kier, network rail, Mott Macdonald
Subsidiary
Parent Company

IoT Snapshot
TechnologiesAnalytics & ModelingApplication Infrastructure & MiddlewareAnalytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Analytics & ModelingApplication Infrastructure & MiddlewareAnalytics & ModelingApplication Infrastructure & MiddlewareAutomation & ControlFunctional ApplicationsAnalytics & ModelingApplication Infrastructure & MiddlewareFunctional ApplicationsNetworks & ConnectivitySensorsAnalytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Automation & ControlFunctional ApplicationsRobots
IndustriesAutomotiveChemicalsFood & BeverageGlassPackagingSecurity & Public Safety
Use CasesManufacturing System AutomationPredictive MaintenanceAdvanced Production Planning and SchedulingDigital TwinInfrastructure InspectionPersonnel Tracking & MonitoringTrack & Trace of Assets
FunctionsBusiness OperationProcess ManufacturingMaintenanceQuality Assurance
ServicesCloud Planning, Design & Implementation ServicesSoftware Design & Engineering ServicesCloud Planning, Design & Implementation ServicesCloud Planning, Design & Implementation ServicesSystem IntegrationData Science Services

Technology Stack
Infrastructure as a Service (IaaS)NoneNoneNoneNoneNoneNone
Platform as a Service (PaaS)NoneMinorNoneNoneNoneModerate
Application Infrastructure & MiddlewareMinorMinorMinorMinorMinorMinor
Analytics & ModelingModerateModerateModerateModerateModerateModerate
Functional ApplicationsNoneNoneNoneMinorMinorMinor
Cybersecurity & PrivacyNoneNoneNoneNoneNoneNone
Networks & ConnectivityNoneNoneNoneNoneMinorNone
Processors & Edge IntelligenceNoneNoneNoneNoneNoneNone
SensorsNoneNoneNoneNoneMinorNone
Automation & ControlNoneNoneNoneMinorNoneModerate
RobotsNoneNoneNoneNoneNoneModerate
DronesNoneNoneNoneNoneNoneNone
WearablesNoneNoneNoneNoneNoneNone
ActuatorsNoneNoneNoneNoneNoneNone
OtherNoneNoneNoneNoneNoneNone

Similar Suppliers
Similar Suppliers

Partners
PartnersAmazon Web ServicesMicrosoft AzureBosch Connected Devices and Solutions GmbHGoogleTeltonikaWAGO
test test