Overview | ||||||
Supplier Slogan | AI and IIoT for manufacturing | Proactive, Resilient Industrial Operations | ||||
HQ Location | Australia | United States | China | United States | United States | United States |
Year Founded | 2016 | 2012 | 2016 | 2014 | 2003 | |
Company Type | Private | Private | Private | Private | Private | Private |
Stock Ticker | ||||||
Revenue | < $10m | < $10m | < $10m | < $10m | < $10m | < $10m |
Employees | < 10 | 51 - 200 | < 10 | 11 - 50 | < 10 | 51 - 200 |
Website | Open website | Open website | Open website | Open website | Open website | Open website |
Company Description | Ailytic is a software company delivering decision analytics to manufacturing industries. Our sensors and software enable insights using Artificial Intelligence to manage real time information, optimise production plans and deliver schedules in a full web based application. Lightweight and easily deployed, we turn operators and managers into analysts with comparative modelling of complex operational environments. Ailytic is headquartered in Adelaide, Australia with offices in Changzhou, China and clients throughout Asia Pacific and Europe. | 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. | Near-Miss Management LLC provides a uniquely effective, enterprise risk detection and advanced warning platform for the process and energy industries. Our approach is based on identifying near-misses, hidden in volumes of process data recorded in plants. Patented analytics rip through millions of data points to identify developing problems at very early stages and allow operating teams to avert unexpected failures through timely corrective actions.
Described as 'disruptive innovation’ by customers, our methods are enabling proactive management to increase both safety and profitability. Our technology has been developed through years of research in solving common challenges faced by industrial facilities – providing us a unique expertise in risk management, near-miss management and big data analytics technology. | 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. | Connect2.me(C2M) is an IoT connector middleware for organizations to build enterprise level IoT/M2M applications. C2M allows dynamic connections to disparate Devices/Sensors and Intelligent Data Feeds, enabling real time connection, management, mash-ups, analytics, control and event management.
Join the Connect2.me Directory. We believe the Directory will become the world’s most comprehensive IoT/WoT educational space. As a participant within the Connect2.me Directory you will receive free exposure to the connected device development and end user community.
The true value of C2M is to further automate an organization’s complex business processes through the new found world of IoT And connectability while remaining totally agile and friendly to change. The three layered platform allows for dynamic connectivity to any data source, comprehensive insight into big data through user-friendly dashboards and true automation of processes through event management and customizable workflows.lly agile and friendly to change. The three layered platform allows for dynamic connectivity to any data source, comprehensive insight into big data through user-friendly dashboards and true automation of processes through event management and customizable workflows. |
IoT Solutions | Increase utilization of available resource capacity (human, equipment and materials)
Integrate and synchronise production and maintenance activities
Gain insight into operational performance and how this impacts future decisions
Improve the flexibility of your scheduling to execution workflow
Reduce the complexity and cost of support for operational software | 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. | Dynamic Risk Analyzer™ (DRA) has been proven to improve safety, reliability, and on-stream efficiency in industrial plant operations. It delivers actionable, early indicators of process issues – typically days and weeks before the alarms go off. What makes it unique is our distinctive, patented approach of identifying hidden near-misses™ in the process data. This enables the operating teams to avert problems just when they are beginning to form, to plan Predictive Maintenance, and to achieve ultimate safety and bottom line.
Reduces Unexpected Shutdowns and Process Failures - DRA is designed to uncover hidden problems, so you can stay focused on finding solutions, not hunting for problems.
Increases On-Stream Efficiency and Capacity Utilization - DRA provides peripheral vision on issues developing on the sidelines, enabling you to address new risks and their drivers.
Improves Process Safety and Reliability - What makes DRA unique is its ability to rip through the entire spectrum of process data, uncovering problems, long before humans or alarms can. | ||
Key Customers | Schneider Electric,OzPak, | |||||
Subsidiary | ||||||
Parent Company | ||||||
IoT Snapshot | ||||||
Technologies | Analytics & Modeling | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS) | Analytics & ModelingInfrastructure as a Service (IaaS)Processors & Edge Intelligence | Analytics & Modeling | Analytics & ModelingApplication Infrastructure & Middleware | Analytics & ModelingPlatform as a Service (PaaS) |
Industries | Food & BeveragePackaging | AutomotiveChemicalsFood & BeverageGlassPackaging | AgricultureAutomotiveElectrical GridsHealthcare & HospitalsSecurity & Public Safety | ChemicalsElectrical GridsOil & GasRenewable Energy | AgricultureBuildingsCities & MunicipalitiesHealthcare & HospitalsOil & GasTelecommunications | |
Use Cases | Process Control & Optimization | Advanced Production Planning and SchedulingDigital Twin | Edge Computing & Edge Intelligence | Process Control & Optimization | Manufacturing System AutomationPredictive Maintenance | Building Automation & Control |
Functions | Process Manufacturing | Business OperationProcess Manufacturing | Discrete ManufacturingProcess Manufacturing | Discrete ManufacturingLogistics & TransportationProcess Manufacturing | ||
Services | Cloud Planning, Design & Implementation ServicesSoftware Design & Engineering Services | Data Science ServicesSoftware Design & Engineering 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 | None | Minor | None | None | Minor | None |
Analytics & Modeling | Moderate | Moderate | Moderate | Moderate | Moderate | Moderate |
Functional Applications | None | None | None | None | None | None |
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 | None | None |
Robots | None | None | None | None | None | None |
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 |
Overview | ||||||
Supplier Slogan | AI and IIoT for manufacturing | Proactive, Resilient Industrial Operations | ||||
HQ Location | Australia | United States | China | United States | United States | United States |
Year Founded | 2016 | 2012 | 2016 | 2014 | 2003 | |
Company Type | Private | Private | Private | Private | Private | Private |
Stock Ticker | ||||||
Revenue | < $10m | < $10m | < $10m | < $10m | < $10m | < $10m |
Employees | < 10 | 51 - 200 | < 10 | 11 - 50 | < 10 | 51 - 200 |
Website | Open website | Open website | Open website | Open website | Open website | Open website |
Company Description | Ailytic is a software company delivering decision analytics to manufacturing industries. Our sensors and software enable insights using Artificial Intelligence to manage real time information, optimise production plans and deliver schedules in a full web based application. Lightweight and easily deployed, we turn operators and managers into analysts with comparative modelling of complex operational environments. Ailytic is headquartered in Adelaide, Australia with offices in Changzhou, China and clients throughout Asia Pacific and Europe. | 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. | Near-Miss Management LLC provides a uniquely effective, enterprise risk detection and advanced warning platform for the process and energy industries. Our approach is based on identifying near-misses, hidden in volumes of process data recorded in plants. Patented analytics rip through millions of data points to identify developing problems at very early stages and allow operating teams to avert unexpected failures through timely corrective actions.
Described as 'disruptive innovation’ by customers, our methods are enabling proactive management to increase both safety and profitability. Our technology has been developed through years of research in solving common challenges faced by industrial facilities – providing us a unique expertise in risk management, near-miss management and big data analytics technology. | 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. | Connect2.me(C2M) is an IoT connector middleware for organizations to build enterprise level IoT/M2M applications. C2M allows dynamic connections to disparate Devices/Sensors and Intelligent Data Feeds, enabling real time connection, management, mash-ups, analytics, control and event management.
Join the Connect2.me Directory. We believe the Directory will become the world’s most comprehensive IoT/WoT educational space. As a participant within the Connect2.me Directory you will receive free exposure to the connected device development and end user community.
The true value of C2M is to further automate an organization’s complex business processes through the new found world of IoT And connectability while remaining totally agile and friendly to change. The three layered platform allows for dynamic connectivity to any data source, comprehensive insight into big data through user-friendly dashboards and true automation of processes through event management and customizable workflows.lly agile and friendly to change. The three layered platform allows for dynamic connectivity to any data source, comprehensive insight into big data through user-friendly dashboards and true automation of processes through event management and customizable workflows. |
IoT Solutions | Increase utilization of available resource capacity (human, equipment and materials)
Integrate and synchronise production and maintenance activities
Gain insight into operational performance and how this impacts future decisions
Improve the flexibility of your scheduling to execution workflow
Reduce the complexity and cost of support for operational software | 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. | Dynamic Risk Analyzer™ (DRA) has been proven to improve safety, reliability, and on-stream efficiency in industrial plant operations. It delivers actionable, early indicators of process issues – typically days and weeks before the alarms go off. What makes it unique is our distinctive, patented approach of identifying hidden near-misses™ in the process data. This enables the operating teams to avert problems just when they are beginning to form, to plan Predictive Maintenance, and to achieve ultimate safety and bottom line.
Reduces Unexpected Shutdowns and Process Failures - DRA is designed to uncover hidden problems, so you can stay focused on finding solutions, not hunting for problems.
Increases On-Stream Efficiency and Capacity Utilization - DRA provides peripheral vision on issues developing on the sidelines, enabling you to address new risks and their drivers.
Improves Process Safety and Reliability - What makes DRA unique is its ability to rip through the entire spectrum of process data, uncovering problems, long before humans or alarms can. | ||
Key Customers | Schneider Electric,OzPak, | |||||
Subsidiary | ||||||
Parent Company | ||||||
IoT Snapshot | ||||||
Technologies | Analytics & Modeling | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS) | Analytics & ModelingInfrastructure as a Service (IaaS)Processors & Edge Intelligence | Analytics & Modeling | Analytics & ModelingApplication Infrastructure & Middleware | Analytics & ModelingPlatform as a Service (PaaS) |
Industries | Food & BeveragePackaging | AutomotiveChemicalsFood & BeverageGlassPackaging | AgricultureAutomotiveElectrical GridsHealthcare & HospitalsSecurity & Public Safety | ChemicalsElectrical GridsOil & GasRenewable Energy | AgricultureBuildingsCities & MunicipalitiesHealthcare & HospitalsOil & GasTelecommunications | |
Use Cases | Process Control & Optimization | Advanced Production Planning and SchedulingDigital Twin | Edge Computing & Edge Intelligence | Process Control & Optimization | Manufacturing System AutomationPredictive Maintenance | Building Automation & Control |
Functions | Process Manufacturing | Business OperationProcess Manufacturing | Discrete ManufacturingProcess Manufacturing | Discrete ManufacturingLogistics & TransportationProcess Manufacturing | ||
Services | Cloud Planning, Design & Implementation ServicesSoftware Design & Engineering Services | Data Science ServicesSoftware Design & Engineering 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 | None | Minor | None | None | Minor | None |
Analytics & Modeling | Moderate | Moderate | Moderate | Moderate | Moderate | Moderate |
Functional Applications | None | None | None | None | None | None |
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 | None | None |
Robots | None | None | None | None | None | None |
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 |