Overview | ||||||
Supplier Slogan | Manufacture with Confidence | Product Engineering & Digital Solutions Partner | ||||
HQ Location | United Kingdom | United States | United States | United Kingdom | Other | India |
Year Founded | 2014 | 2009 | 2012 | 2014 | 2014 | 2019 |
Company Type | Private | Private | Private | Private | Private | Private |
Stock Ticker | ||||||
Revenue | < $10m | < $10m | < $10m | < $10m | < $10m | < $10m |
Employees | 51 - 200 | 11 - 50 | 51 - 200 | 51 - 200 | 51 - 200 | 11 - 50 |
Website | Open website | Open website | Open website | Open website | Open website | Open website |
Company Description | Senseye is the leading cloud-based software for Predictive Maintenance. It helps manufacturers avoid downtime and save money by automatically forecasting machine failure without the need for expert manual analysis. Its intelligent machine-learning algorithms allow it to be used on any machine from any manufacturer, taking information from existing Industrial IoT sensors and platforms to automatically diagnose failures and provide the remaining useful life of machinery. | MachineMetrics is the authority on real-time manufacturing analytics. When we started MachineMetrics, we identified undeniable gaps in current manufacturing processes: a lack of real-time production visibility and a lack of communication between machine operators and their managers. Roughly 50% of US companies admitting to not having a systematic roadmap toward Digital Manufacturing solutions nor automation and over 90% of companies have yet to attempt to integrate solutions to date. Many companies have attempted to develop solutions for this problem but it had yet to be truly solved. We spoke with 100+ manufacturers to gather their feedback on why these solutions did not fit their needs and how it could be designed better. MachineMetrics was thus created; an IIoT manufacturing analytics and machine monitoring platform to help companies visualize where they stand now and overcome the challenges along the Digital Transformation journey to advance forward from reactivity, to proactivity, and to predictivity. Our fully automated machine monitoring solution provides visualizations of real-time manufacturing production data, instant notifications, as well as historical analytics, allowing factory workers to make faster, smarter, more confident decisions based on real-time data. We've simplified IoT for the shop floor and are empowering manufacturers to develop their roadmap toward manufacturing excellence with the easiest to use and simplest to integrate software on the market. MachineMetrics is driving manufacturing efficiency by more than 20% on average for our customers and we are proud to be developing the future of manufacturing alongside them. | 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. | Peak offers a Decision Intelligence platform that doesn’t just deliver models, it delivers results. It is a single platform that can help you rapidly deploy multiple AI-powered solutions on a single platform. It takes you all the way from siloed data and systems, to putting AI in the hands of commercial decision makers. It is built to empower you to make superhuman decisions, all the time. | InData Labs’ mission is to help clients rocket their competitiveness and get brilliant results of their work unseen before. As a Data Science firm with AI-powered solutions provider with its own R&D center, InData Labs helps businesses of all sizes all over the world to get valuable insights into data, automate repetitive tasks, enhance performance, add AI-driven features, and prevent cost overruns. | Infysion Technologies is a technology consulting firm that offers a wide range of software development and technology services. According to their website, they specialize in enterprise software development, web and mobile application development, Cloud Computing, DevOps, and Digital Transformation. They work with a variety of industries, including healthcare, finance, education, and retail, and offer services such as IT strategy consulting, software development, data analytics, and project management. Their goal is to help businesses leverage technology to increase efficiency, improve customer experience, and achieve their business objectives. |
IoT Solutions | Senseye PdM is an industrial operations software tool, designed to be used on the shop-floor by the maintenance and operations people who need to keep things running smoothly and ensure that unplanned downtime stays down.
Like all good Industry 4.0 / Industrial IoT software, Senseye PdM is designed to integrate seamlessly and provide maximum value by leveraging your existing investments. It focuses on automatically delivering advanced Predictive Maintenance insights in an easily understandable manner. | We collect data from machine controls and machine operators for the entire production floor and use this data to monitor machine conditions (faults, status, tool utilization), production (OEE & Machine Utilization), work-order status, quality Tracking and downtime reasons that can be auto classified or indicated by the operator with touch screen tablet interfaces mounted at the machine tool. Real-Time Dashboards are also mounted on the production floor to provide an at-a-glance indication if jobs are performing at or below expectations (against Parts Goal or OEE metrics). MachineMetrics provides robust and superior reporting features including OEE reports, job reports, downtime and quality pareto reports that can be compared by shift, machine, and when viewing individual job/part reports. Utilization, TEEP and OOE are also measured and visible in historical reports. The real time and historical data collected allows managers to not only track efficiency and quickly identify production bottlenecks that are related to specific machining operations but also helps measure the effect of process improvements. MachineMetrics' mobile friendly, secure cloud application allows you to access this data from anywhere and requires no servers, automatic updates, and minimal IT expenses. All that's required is that machines are networked and accessible from our gateway device. Our highly adaptable system can be customized to fit any manufacturer's specific production needs. | 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. | AI is powering modern manufacturing
Forward-thinking manufacturers are leveraging data with AI to drive success.
What can it do for manufacturers?
Peak’s pioneering approach to AI for manufacturing is focused on delivering tangible outcomes for your business.
- Predict demand
Improve your forecasting to predict demand with a higher degree of accuracy
- Optimize inventories
Reduce the amount of stock and raw materials you hold to save cash, whilst still fulfilling demand
- Reduce wastage
Increase efficiency by reducing unnecessary wastage and positively impacting your carbon footprint
- Connect business systems
Gain a unified, end-to-end view of your entire business, leveraging data from across the value chain
- Enhance existing infrastructure
Peak’s AI System is a “layer of intelligence” sitting over your existing systems, so there’s no need to rip and replace | Infysion is a provider of Industrial IoT Platform as a Service application infrastructure and middleware, analytics and modeling, functional applications, networks and connectivity, and sensors technologies, and also active in the automotive, buildings, equipment and machinery, food and beverage, healthcare and hospitals, renewable energy, and utilities industries. | |
Key Customers | Fastenal, Carolina Precision Manufacturing, Carlson Products, Praxair, Benchmade | |||||
Subsidiary | ||||||
Parent Company | ||||||
IoT Snapshot | ||||||
Technologies | Analytics & ModelingApplication Infrastructure & MiddlewareFunctional ApplicationsInfrastructure as a Service (IaaS)Sensors | Analytics & ModelingApplication Infrastructure & MiddlewareFunctional ApplicationsPlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS) | Analytics & Modeling | Analytics & ModelingPlatform as a Service (PaaS) |
Industries | AutomotiveConstruction & InfrastructureElectronicsOil & GasRetail | AerospaceAutomotiveBuildingsConstruction & InfrastructureEquipment & MachineryHealthcare & HospitalsMining | AutomotiveChemicalsFood & BeverageGlassPackaging | Construction & InfrastructureConsumer GoodsRetail | AgricultureEquipment & MachineryOil & GasUtilities | |
Use Cases | Predictive MaintenanceImmersive Analytics | Advanced Production Planning and SchedulingFactory Operations Visibility & IntelligenceMachine Condition MonitoringPredictive Maintenance | Advanced Production Planning and SchedulingDigital Twin | Process Control & Optimization | Predictive MaintenanceVehicle TelematicsVisual Quality Detection | Advanced Metering InfrastructureAsset Health Management (AHM)Asset Lifecycle ManagementFleet ManagementMachine Condition MonitoringSmart CampusSmart IrrigationWater Utility Management |
Functions | Business OperationDiscrete ManufacturingMaintenance | Discrete Manufacturing | Business OperationProcess Manufacturing | Business OperationDiscrete ManufacturingLogistics & TransportationWarehouse & Inventory Management | Discrete ManufacturingLogistics & TransportationMaintenanceSales & MarketingWarehouse & Inventory Management | Discrete ManufacturingFacility ManagementField ServicesLogistics & TransportationMaintenanceProcess Manufacturing |
Services | Cloud Planning, Design & Implementation ServicesSoftware Design & Engineering Services | Cloud Planning, Design & Implementation ServicesSoftware Design & Engineering Services | Cloud Planning, Design & Implementation Services | Data Science Services | Cloud Planning, Design & Implementation ServicesSoftware Design & Engineering ServicesSystem Integration | |
Technology Stack | ||||||
Infrastructure as a Service (IaaS) | Minor | None | None | None | None | None |
Platform as a Service (PaaS) | None | Strong | Minor | Minor | None | Moderate |
Application Infrastructure & Middleware | Minor | Moderate | Minor | Minor | None | None |
Analytics & Modeling | Moderate | Moderate | Moderate | Moderate | Moderate | Minor |
Functional Applications | Moderate | Minor | 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 | None | None | None | None |
Sensors | Moderate | 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 | SECO |
Overview | ||||||
Supplier Slogan | Manufacture with Confidence | Product Engineering & Digital Solutions Partner | ||||
HQ Location | United Kingdom | United States | United States | United Kingdom | Other | India |
Year Founded | 2014 | 2009 | 2012 | 2014 | 2014 | 2019 |
Company Type | Private | Private | Private | Private | Private | Private |
Stock Ticker | ||||||
Revenue | < $10m | < $10m | < $10m | < $10m | < $10m | < $10m |
Employees | 51 - 200 | 11 - 50 | 51 - 200 | 51 - 200 | 51 - 200 | 11 - 50 |
Website | Open website | Open website | Open website | Open website | Open website | Open website |
Company Description | Senseye is the leading cloud-based software for Predictive Maintenance. It helps manufacturers avoid downtime and save money by automatically forecasting machine failure without the need for expert manual analysis. Its intelligent machine-learning algorithms allow it to be used on any machine from any manufacturer, taking information from existing Industrial IoT sensors and platforms to automatically diagnose failures and provide the remaining useful life of machinery. | MachineMetrics is the authority on real-time manufacturing analytics. When we started MachineMetrics, we identified undeniable gaps in current manufacturing processes: a lack of real-time production visibility and a lack of communication between machine operators and their managers. Roughly 50% of US companies admitting to not having a systematic roadmap toward Digital Manufacturing solutions nor automation and over 90% of companies have yet to attempt to integrate solutions to date. Many companies have attempted to develop solutions for this problem but it had yet to be truly solved. We spoke with 100+ manufacturers to gather their feedback on why these solutions did not fit their needs and how it could be designed better. MachineMetrics was thus created; an IIoT manufacturing analytics and machine monitoring platform to help companies visualize where they stand now and overcome the challenges along the Digital Transformation journey to advance forward from reactivity, to proactivity, and to predictivity. Our fully automated machine monitoring solution provides visualizations of real-time manufacturing production data, instant notifications, as well as historical analytics, allowing factory workers to make faster, smarter, more confident decisions based on real-time data. We've simplified IoT for the shop floor and are empowering manufacturers to develop their roadmap toward manufacturing excellence with the easiest to use and simplest to integrate software on the market. MachineMetrics is driving manufacturing efficiency by more than 20% on average for our customers and we are proud to be developing the future of manufacturing alongside them. | 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. | Peak offers a Decision Intelligence platform that doesn’t just deliver models, it delivers results. It is a single platform that can help you rapidly deploy multiple AI-powered solutions on a single platform. It takes you all the way from siloed data and systems, to putting AI in the hands of commercial decision makers. It is built to empower you to make superhuman decisions, all the time. | InData Labs’ mission is to help clients rocket their competitiveness and get brilliant results of their work unseen before. As a Data Science firm with AI-powered solutions provider with its own R&D center, InData Labs helps businesses of all sizes all over the world to get valuable insights into data, automate repetitive tasks, enhance performance, add AI-driven features, and prevent cost overruns. | Infysion Technologies is a technology consulting firm that offers a wide range of software development and technology services. According to their website, they specialize in enterprise software development, web and mobile application development, Cloud Computing, DevOps, and Digital Transformation. They work with a variety of industries, including healthcare, finance, education, and retail, and offer services such as IT strategy consulting, software development, data analytics, and project management. Their goal is to help businesses leverage technology to increase efficiency, improve customer experience, and achieve their business objectives. |
IoT Solutions | Senseye PdM is an industrial operations software tool, designed to be used on the shop-floor by the maintenance and operations people who need to keep things running smoothly and ensure that unplanned downtime stays down.
Like all good Industry 4.0 / Industrial IoT software, Senseye PdM is designed to integrate seamlessly and provide maximum value by leveraging your existing investments. It focuses on automatically delivering advanced Predictive Maintenance insights in an easily understandable manner. | We collect data from machine controls and machine operators for the entire production floor and use this data to monitor machine conditions (faults, status, tool utilization), production (OEE & Machine Utilization), work-order status, quality Tracking and downtime reasons that can be auto classified or indicated by the operator with touch screen tablet interfaces mounted at the machine tool. Real-Time Dashboards are also mounted on the production floor to provide an at-a-glance indication if jobs are performing at or below expectations (against Parts Goal or OEE metrics). MachineMetrics provides robust and superior reporting features including OEE reports, job reports, downtime and quality pareto reports that can be compared by shift, machine, and when viewing individual job/part reports. Utilization, TEEP and OOE are also measured and visible in historical reports. The real time and historical data collected allows managers to not only track efficiency and quickly identify production bottlenecks that are related to specific machining operations but also helps measure the effect of process improvements. MachineMetrics' mobile friendly, secure cloud application allows you to access this data from anywhere and requires no servers, automatic updates, and minimal IT expenses. All that's required is that machines are networked and accessible from our gateway device. Our highly adaptable system can be customized to fit any manufacturer's specific production needs. | 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. | AI is powering modern manufacturing
Forward-thinking manufacturers are leveraging data with AI to drive success.
What can it do for manufacturers?
Peak’s pioneering approach to AI for manufacturing is focused on delivering tangible outcomes for your business.
- Predict demand
Improve your forecasting to predict demand with a higher degree of accuracy
- Optimize inventories
Reduce the amount of stock and raw materials you hold to save cash, whilst still fulfilling demand
- Reduce wastage
Increase efficiency by reducing unnecessary wastage and positively impacting your carbon footprint
- Connect business systems
Gain a unified, end-to-end view of your entire business, leveraging data from across the value chain
- Enhance existing infrastructure
Peak’s AI System is a “layer of intelligence” sitting over your existing systems, so there’s no need to rip and replace | Infysion is a provider of Industrial IoT Platform as a Service application infrastructure and middleware, analytics and modeling, functional applications, networks and connectivity, and sensors technologies, and also active in the automotive, buildings, equipment and machinery, food and beverage, healthcare and hospitals, renewable energy, and utilities industries. | |
Key Customers | Fastenal, Carolina Precision Manufacturing, Carlson Products, Praxair, Benchmade | |||||
Subsidiary | ||||||
Parent Company | ||||||
IoT Snapshot | ||||||
Technologies | Analytics & ModelingApplication Infrastructure & MiddlewareFunctional ApplicationsInfrastructure as a Service (IaaS)Sensors | Analytics & ModelingApplication Infrastructure & MiddlewareFunctional ApplicationsPlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS) | Analytics & Modeling | Analytics & ModelingPlatform as a Service (PaaS) |
Industries | AutomotiveConstruction & InfrastructureElectronicsOil & GasRetail | AerospaceAutomotiveBuildingsConstruction & InfrastructureEquipment & MachineryHealthcare & HospitalsMining | AutomotiveChemicalsFood & BeverageGlassPackaging | Construction & InfrastructureConsumer GoodsRetail | AgricultureEquipment & MachineryOil & GasUtilities | |
Use Cases | Predictive MaintenanceImmersive Analytics | Advanced Production Planning and SchedulingFactory Operations Visibility & IntelligenceMachine Condition MonitoringPredictive Maintenance | Advanced Production Planning and SchedulingDigital Twin | Process Control & Optimization | Predictive MaintenanceVehicle TelematicsVisual Quality Detection | Advanced Metering InfrastructureAsset Health Management (AHM)Asset Lifecycle ManagementFleet ManagementMachine Condition MonitoringSmart CampusSmart IrrigationWater Utility Management |
Functions | Business OperationDiscrete ManufacturingMaintenance | Discrete Manufacturing | Business OperationProcess Manufacturing | Business OperationDiscrete ManufacturingLogistics & TransportationWarehouse & Inventory Management | Discrete ManufacturingLogistics & TransportationMaintenanceSales & MarketingWarehouse & Inventory Management | Discrete ManufacturingFacility ManagementField ServicesLogistics & TransportationMaintenanceProcess Manufacturing |
Services | Cloud Planning, Design & Implementation ServicesSoftware Design & Engineering Services | Cloud Planning, Design & Implementation ServicesSoftware Design & Engineering Services | Cloud Planning, Design & Implementation Services | Data Science Services | Cloud Planning, Design & Implementation ServicesSoftware Design & Engineering ServicesSystem Integration | |
Technology Stack | ||||||
Infrastructure as a Service (IaaS) | Minor | None | None | None | None | None |
Platform as a Service (PaaS) | None | Strong | Minor | Minor | None | Moderate |
Application Infrastructure & Middleware | Minor | Moderate | Minor | Minor | None | None |
Analytics & Modeling | Moderate | Moderate | Moderate | Moderate | Moderate | Minor |
Functional Applications | Moderate | Minor | 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 | None | None | None | None |
Sensors | Moderate | 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 | SECO |