Overview
Supplier SloganIndustrial IoT Data Platform
HQ LocationUnited StatesUnited StatesUnited StatesUnited StatesIndia
Year Founded20162012200420122019
Company TypePrivatePrivatePrivatePrivatePrivate
Stock Ticker
Revenue< $10m$10-100m$10-100m$10-100m< $10m
Employees< 1011 - 5011 - 50201 - 1,000< 10
Website Open website Open website Open website Open website Open website
Company Description
Fero Labs' core mission is to generate value for its industrial customers by empowering them with the modern process improvement tool driven by actionable, white-box Machine Learning. Fero Labs prides itself in increasing factories' profits by combining their existing data with the latest advances in the field of Data Science. By utilizing Fero, the automated Machine Learning software, Fero Labs' customers understand the root-causes of the problems leading to process and quality issues. Armed with new insights into their production, factories resolve the underlying issues leading to continuous process improvement. Once deployed, Fero constantly adapts to changing factory conditions, delivering insights to a broad set of industries (e.g. automotive, steel, oil & gas, chemicals, utilities) across many scenarios (e.g. planning, decision making, process optimization). The software is intuitive and promotes collaboration across departments.It's being leveraged by a wide range of users including continuous improvement managers, quality engineers, operators, data scientist and plant managers.

Temboo enables any type of engineer (mechanical, civil, chemical, factory, computer science, and more) to build and run internet-enabled automated systems. Customers use Temboo to connect any type of hardware to any cloud service - this Interoperability simplifies retrofitting existing equipment and systems. Temboo auto-generates editable software code for engineers that enables these interconnections. Generated code is production-ready and optimized for your hardware. Temboo handles the “last mile” for linking sensor data to the cloud, enabling just-in-time data delivery from machine-automated systems for storage, visualization, and analysis.

Glassbeam is the Machine Data company. Bringing structure and meaning to data from any connected device, Glassbeam provides actionable intelligence to the Internet of Things. Glassbeam’s next generation cloud-based analytics platform is designed to organize and analyze multi-structured data, delivering powerful product and customer intelligence across the entire enterprise. Glassbeam’s platform and cloud applications are adding value to some of the biggest Fortune 500 companies across verticals such as storage, wireless, networking and medical devices. IBM, Hitachi, EMC, Aruba Networks, Meru networks, Polycom and Fusion IO use Glassbeam for analyzing machine log data. Glassbeam enables business users at these companies derive immense ROI by reducing support costs, increasing sales & service revenues, and getting critical product intelligence to build better products for the future.
DataRobot offers a Machine Learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, H2O and other open-source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations, and tuning parameters to deliver the best models for your dataset and prediction target. The DataRobot platform evaluates hundreds of cutting-edge Machine Learning algorithms to discover, deploy, and customize the best Machine Learning models for every situation. It also delivers the most accurate insights at scale, providing the fastest path to Data Science success for organizations of all sizes. DataRobot was founded in June 2012 and is headquartered in Boston, Massachusetts, USA.

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
Quality Continuously predict the quality of your production, Automatically identify production inputs and settings that affect critical quality metrics, and Foresee which products are likely to have flaws for planning. Maintenance Predict complex machine failures before they even happen, Automatically detect anomalous patterns of many machines, and Anticipate group failures of machines that are about to impede production. Energy Predict sensor values and visualize consumption trends, and Understand how decision made today will affect energy consumption tomorrow.

Code Generation; IoT Apps; Platform; Digital Transformation; Manufacturing

Automated Machine Learning Automate the creation of advanced Machine Learning models that incorporate our world-class Data Science expertise. Automated Time Series Automate the development of sophisticated time series models that predict the future values of a data series based on its history and trend. Organizations of all sizes will improve forecasts for sales volume, product demand by SKU, staffing, inventory, and a host of financial applications. MLOps Delivering the capabilities that Data Science and IT Ops teams need to work together to deploy, monitor, and manage Machine Learning models in production.

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
Covestro, Henkel, Ford, ABB, Uniper, Microsoft, Intel, AkzoNobel

Disney, Accenture, SkySmart, Global Garden Products, Monginis, Yuan Ze University, and Visual Control 

Accenture, Aegon, Deloitte, Havard Business School, Panasonic, Lenovo, United Airlines
Subsidiary
Parent Company

IoT Snapshot
TechnologiesAnalytics & ModelingPlatform as a Service (PaaS)Analytics & ModelingPlatform as a Service (PaaS)Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Analytics & ModelingInfrastructure as a Service (IaaS)Platform as a Service (PaaS)Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Automation & ControlFunctional ApplicationsRobots
IndustriesAgricultureHealthcare & HospitalsFinance & InsuranceHealthcare & HospitalsOil & GasRetailSecurity & Public Safety
Use CasesPredictive MaintenanceClinical Image AnalysisDemand Planning & ForecastingPredictive Maintenance
FunctionsDiscrete ManufacturingProcess ManufacturingDiscrete ManufacturingProduct Research & Development
ServicesData Science ServicesData Science ServicesCloud Planning, Design & Implementation ServicesSystem IntegrationData Science Services

Technology Stack
Infrastructure as a Service (IaaS)NoneNoneNoneModerateNone
Platform as a Service (PaaS)MinorModerateMinorMinorModerate
Application Infrastructure & MiddlewareNoneNoneMinorNoneMinor
Analytics & ModelingMinorMinorModerateModerateModerate
Functional ApplicationsNoneNoneNoneNoneMinor
Cybersecurity & PrivacyNoneNoneNoneNoneNone
Networks & ConnectivityNoneNoneNoneNoneNone
Processors & Edge IntelligenceNoneNoneNoneNoneNone
SensorsNoneNoneNoneNoneNone
Automation & ControlNoneNoneNoneNoneModerate
RobotsNoneNoneNoneNoneModerate
DronesNoneNoneNoneNoneNone
WearablesNoneNoneNoneNoneNone
ActuatorsNoneNoneNoneNoneNone
OtherNoneNoneNoneNoneNone

Similar Suppliers
Similar Suppliers

Partners
PartnersAmazon Web ServicesMicrosoft AzureBosch Connected Devices and Solutions GmbHGoogleTeltonikaWAGO

Overview
Supplier SloganIndustrial IoT Data Platform
HQ LocationUnited StatesUnited StatesUnited StatesUnited StatesIndia
Year Founded20162012200420122019
Company TypePrivatePrivatePrivatePrivatePrivate
Stock Ticker
Revenue< $10m$10-100m$10-100m$10-100m< $10m
Employees< 1011 - 5011 - 50201 - 1,000< 10
Website Open website Open website Open website Open website Open website
Company Description
Fero Labs' core mission is to generate value for its industrial customers by empowering them with the modern process improvement tool driven by actionable, white-box Machine Learning. Fero Labs prides itself in increasing factories' profits by combining their existing data with the latest advances in the field of Data Science. By utilizing Fero, the automated Machine Learning software, Fero Labs' customers understand the root-causes of the problems leading to process and quality issues. Armed with new insights into their production, factories resolve the underlying issues leading to continuous process improvement. Once deployed, Fero constantly adapts to changing factory conditions, delivering insights to a broad set of industries (e.g. automotive, steel, oil & gas, chemicals, utilities) across many scenarios (e.g. planning, decision making, process optimization). The software is intuitive and promotes collaboration across departments.It's being leveraged by a wide range of users including continuous improvement managers, quality engineers, operators, data scientist and plant managers.

Temboo enables any type of engineer (mechanical, civil, chemical, factory, computer science, and more) to build and run internet-enabled automated systems. Customers use Temboo to connect any type of hardware to any cloud service - this Interoperability simplifies retrofitting existing equipment and systems. Temboo auto-generates editable software code for engineers that enables these interconnections. Generated code is production-ready and optimized for your hardware. Temboo handles the “last mile” for linking sensor data to the cloud, enabling just-in-time data delivery from machine-automated systems for storage, visualization, and analysis.

Glassbeam is the Machine Data company. Bringing structure and meaning to data from any connected device, Glassbeam provides actionable intelligence to the Internet of Things. Glassbeam’s next generation cloud-based analytics platform is designed to organize and analyze multi-structured data, delivering powerful product and customer intelligence across the entire enterprise. Glassbeam’s platform and cloud applications are adding value to some of the biggest Fortune 500 companies across verticals such as storage, wireless, networking and medical devices. IBM, Hitachi, EMC, Aruba Networks, Meru networks, Polycom and Fusion IO use Glassbeam for analyzing machine log data. Glassbeam enables business users at these companies derive immense ROI by reducing support costs, increasing sales & service revenues, and getting critical product intelligence to build better products for the future.
DataRobot offers a Machine Learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, H2O and other open-source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations, and tuning parameters to deliver the best models for your dataset and prediction target. The DataRobot platform evaluates hundreds of cutting-edge Machine Learning algorithms to discover, deploy, and customize the best Machine Learning models for every situation. It also delivers the most accurate insights at scale, providing the fastest path to Data Science success for organizations of all sizes. DataRobot was founded in June 2012 and is headquartered in Boston, Massachusetts, USA.

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
Quality Continuously predict the quality of your production, Automatically identify production inputs and settings that affect critical quality metrics, and Foresee which products are likely to have flaws for planning. Maintenance Predict complex machine failures before they even happen, Automatically detect anomalous patterns of many machines, and Anticipate group failures of machines that are about to impede production. Energy Predict sensor values and visualize consumption trends, and Understand how decision made today will affect energy consumption tomorrow.

Code Generation; IoT Apps; Platform; Digital Transformation; Manufacturing

Automated Machine Learning Automate the creation of advanced Machine Learning models that incorporate our world-class Data Science expertise. Automated Time Series Automate the development of sophisticated time series models that predict the future values of a data series based on its history and trend. Organizations of all sizes will improve forecasts for sales volume, product demand by SKU, staffing, inventory, and a host of financial applications. MLOps Delivering the capabilities that Data Science and IT Ops teams need to work together to deploy, monitor, and manage Machine Learning models in production.

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
Covestro, Henkel, Ford, ABB, Uniper, Microsoft, Intel, AkzoNobel

Disney, Accenture, SkySmart, Global Garden Products, Monginis, Yuan Ze University, and Visual Control 

Accenture, Aegon, Deloitte, Havard Business School, Panasonic, Lenovo, United Airlines
Subsidiary
Parent Company

IoT Snapshot
TechnologiesAnalytics & ModelingPlatform as a Service (PaaS)Analytics & ModelingPlatform as a Service (PaaS)Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Analytics & ModelingInfrastructure as a Service (IaaS)Platform as a Service (PaaS)Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Automation & ControlFunctional ApplicationsRobots
IndustriesAgricultureHealthcare & HospitalsFinance & InsuranceHealthcare & HospitalsOil & GasRetailSecurity & Public Safety
Use CasesPredictive MaintenanceClinical Image AnalysisDemand Planning & ForecastingPredictive Maintenance
FunctionsDiscrete ManufacturingProcess ManufacturingDiscrete ManufacturingProduct Research & Development
ServicesData Science ServicesData Science ServicesCloud Planning, Design & Implementation ServicesSystem IntegrationData Science Services

Technology Stack
Infrastructure as a Service (IaaS)NoneNoneNoneModerateNone
Platform as a Service (PaaS)MinorModerateMinorMinorModerate
Application Infrastructure & MiddlewareNoneNoneMinorNoneMinor
Analytics & ModelingMinorMinorModerateModerateModerate
Functional ApplicationsNoneNoneNoneNoneMinor
Cybersecurity & PrivacyNoneNoneNoneNoneNone
Networks & ConnectivityNoneNoneNoneNoneNone
Processors & Edge IntelligenceNoneNoneNoneNoneNone
SensorsNoneNoneNoneNoneNone
Automation & ControlNoneNoneNoneNoneModerate
RobotsNoneNoneNoneNoneModerate
DronesNoneNoneNoneNoneNone
WearablesNoneNoneNoneNoneNone
ActuatorsNoneNoneNoneNoneNone
OtherNoneNoneNoneNoneNone

Similar Suppliers
Similar Suppliers

Partners
PartnersAmazon Web ServicesMicrosoft AzureBosch Connected Devices and Solutions GmbHGoogleTeltonikaWAGO
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