Overview | ||||||
Supplier Slogan | Machines Talk, We Listen | Full-Stack Development Platform for the Internet of Things | Industrial IoT Platform for Digital Transformation | Edge Intelligence for Industrial and Commercial IoT | ||
HQ Location | United States | United States | United States | United States | United States | United States |
Year Founded | 2011 | 2009 | 2013 | 2013 | 2014 | 2013 |
Company Type | Private | Private | Private | Private | Private | Private |
Stock Ticker | ||||||
Revenue | $10-100m | $100m-1b | < $10m | < $10m | $10-100m | < $10m |
Employees | 201 - 1,000 | 201 - 1,000 | 51 - 200 | 51 - 200 | 51 - 200 | 51 - 200 |
Website | Open website | Open website | Open website | Open website | Open website | Open website |
Company Description |
Augury is on a mission to give our customers superior insights into the health and performance of the machines they use to make products, deliver services and improve lives. We are all surrounded by machines and rely on them in everything we do – from the buildings in which we live and work, the goods that we consume, to the power and running water that we use. There is significant cost and effort that goes into designing, manufacturing, installing and maintaining the machines that enable and support our daily lives. We combine Artificial Intelligence and the Internet of Things to make machines more reliable, reduce their environmental impact, and enhance human productivity. | C3 IoT provides a full-stack IoT development platform (PaaS) that enables the rapid design, development, and deployment of even the largest-scale big data / IoT applications that leverage telemetry, elastic Cloud Computing, analytics, and Machine Learning to apply the power of predictive analytics to any business value chain.
C3 IoT also provides a family of turn-key SaaS IoT applications including Predictive Maintenance, fraud detection, sensor network health, supply chain optimization, investment planning, and customer engagement. Customers can use pre-built C3 IoT applications, adapt those applications using the platform’s toolset, or build custom applications using C3 IoT’s Platform as a Service.
Year founded: 2009 | Altizon empowers Industrial Digital Revolutions globally by helping enterprises use Machine Data to drive business decisions. With a global footprint of over 100 enterprise users, Altizon is a leading Industrial IoT platform provider as recognized by Gartner, Forrester, BCG, Frost & Sullivan, and others. | Litmus transforms the way companies enable Industrial IoT, Industry 4.0 and Digital Transformation with one goal in mind - unmatched time-to-value. Our modern edge platform for industry provides instant data connectivity, ready-to-use analytics, and the ability to orchestrate applications at scale. Litmus liberates the data locked in any industrial system to transform critical edge data into actionable intelligence that can power Predictive Maintenance, Machine Learning, and AI. Customers include 10+ Fortune 500 manufacturing companies, while partners like Siemens, HPE, Intel and SNC Lavalin expand the Company’s path to market. For more information visit www.litmus.io. | FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT applications. FogHorn’s software platform brings the power of Machine Learning and advanced analytics to the On-Premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, asset performance optimization, operational intelligence and Predictive Maintenance use cases. | Falkonry is the leading provider of predictive operations technology for companies looking to achieve significant improvements in the uptime, performance, quality and safety of their operations. Falkonry's "pre-packaged" Machine Learning system, Falkonry LRS, enables operations teams to discover, explain and predict behaviors that matter, without requiring data scientists. Falkonry LRS complements a users domain expertise with predictive analytics to more deeply understand their operations, and can scale across assets, processes and operations. Our ready-to-use Machine Learning system, called Falkonry LRS, can be deployed and used directly by practitioners such as manufacturing engineers or process engineers, and does not require data scientists. In fact it is like a "data scientist-in-a-box" and can be deployed both On-Premises or in the cloud. |
IoT Solutions | Real-Time Diagnostics for Entire Facilities Augury monitors and protects production line assets as well as utility and balance of plant equipment. We arm engineering, maintenance, and reliability professionals with continuous insights to improve asset performance across their facilities. Reliability Meets Artificial Intelligence Augury’s technology places the power of Artificial Intelligence into the hands of engineers, reliability experts, and maintenance professionals. Our platform listens to machines, analyzes data in real time, and provides accurate and actionable machine health insights. | The Internet of Things (IoT) and advanced Data Science are rewriting the rules of competition. The advantage goes to organizations that can convert petabytes of freshly arrived and historical data to predictions – more quickly and more accurately than their competitors. Payoffs include better product and service design, promotion, and pricing; optimized supply chains that avoid delays and increase output; reduced churn; higher average revenue per customer; and Predictive Maintenance that avoids downtime for vehicle fleets and manufacturing systems while lowering service costs.
To make sense of and act on the unprecedented volume, velocity, and variety of data in real time, companies are applying the sciences of big data, advanced analytics, Machine Learning, and Cloud Computing. Products themselves are being redesigned to accommodate connectivity and low-cost sensors, creating a market opportunity for adaptive systems, a new generation of smart applications, and a renaissance of business process reengineering. The new IT paradigm will reshape the value chain by transforming product design, marketing, manufacturing, and after-sale services.
C3 IoT offers a new generation of smart, real-time applications, overcoming the development challenges that have blocked companies from realizing the potential of the Internet of Things. Proven in more than 20 enterprise-scale production environments, the C3 IoT Platform is PaaS for the design, development, deployment, and operation of next-generation IoT applications and business processes. | The Datonis platform can be used by manufacturers to build connected equipment which will constantly feed operational data to the cloud-based platform for aggregation and analysis. Many OEMs are using solutions from Altizon to improve operational efficiencies, remote monitoring as well as Predictive Maintenance. IoT Platform, Manufacturing intelligence, Edge, Digital Transformation | Litmus Edge is a modern edge platform that collects data from any industrial asset, offers pre-built applications, KPIs and analytics, provides the ability to build and run custom applications, and integrates data with any cloud or enterprise system. Litmus Edge is an all-in-one platform that is easy-to-use and deploy, offering the data intelligence needed to improve industrial operations at scale and power industrial use cases ranging from Predictive Maintenance to Machine Learning. For more information visit https://litmus.io/litmus-edge/. Litmus Edge Manager provides a single point of control to manage and aggregate data from any number of edge devices, providing users with a complete picture of edge devices, applications and deployments. Litmus Edge Manager allows users to create, orchestrate, manage and update any containerized application from the cloud or data center level to Litmus Edge. Manage the device lifecycle with flexible application options leading to enterprise-level visibility for intelligence from the edge. For more information visit https://litmus.io/litmus-edge-manager/. | Falkonry LRS 2.0 : Machine Learning for predictive operations
Pre-packaged Machine Learning empowers your teams with pattern discovery, predictive analytics and explanation to improve uptime, performance, quality and safety
Short time to value: Discover patterns fast, apply many times
Built for operations: Complement your domain expertise with prediction
Scalable: Work across assets, processes and operations | |
Key Customers | Enel, ENGIE, Cisco, Exelon, Endesa, Eversource, Pella, PG&E, U.S. Department of State | Spectra Symbol Corp., Varroc Group | Saint Gobain Sekurit, Niagara Bottling | |||
Subsidiary | ||||||
Parent Company | ||||||
IoT Snapshot | ||||||
Technologies | Analytics & ModelingSensors | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Functional ApplicationsInfrastructure as a Service (IaaS)Sensors | Analytics & ModelingPlatform as a Service (PaaS)Application Infrastructure & MiddlewareAutomation & ControlFunctional ApplicationsInfrastructure as a Service (IaaS)Networks & ConnectivitySensors | Analytics & ModelingPlatform as a Service (PaaS)Processors & Edge Intelligence | Analytics & ModelingInfrastructure as a Service (IaaS) | Analytics & Modeling |
Industries | Consumer GoodsFood & BeverageMetalsPharmaceuticalsUtilities | AerospaceElectrical GridsEquipment & MachineryFinance & InsuranceHealthcare & HospitalsOil & GasRetailTelecommunicationsTransportationUtilities | AutomotiveChemicalsConsumer GoodsElectrical GridsOil & GasPackagingUtilities | Equipment & MachineryFood & Beverage | AutomotiveBuildingsCities & MunicipalitiesHealthcare & HospitalsMiningOil & GasRenewable EnergyRetailTransportationUtilities | AutomotiveChemicalsElectronicsMetalsMiningNational Security & DefenseOil & Gas |
Use Cases | Predictive MaintenanceMachine Condition MonitoringWater Utility Management | Advanced Metering InfrastructureBuilding Energy ManagementEnergy Management SystemFleet ManagementFraud DetectionPredictive MaintenancePredictive Quality AnalyticsRoot Cause Analysis & Diagnosis | Advanced Metering InfrastructureBuilding Energy ManagementEnergy Management SystemFactory Operations Visibility & IntelligenceMachine Condition MonitoringPredictive Quality AnalyticsRemote Asset ManagementRoot Cause Analysis & Diagnosis | Edge Computing & Edge IntelligenceMachine Condition MonitoringPredictive Maintenance | Edge Computing & Edge IntelligenceMachine Condition Monitoring | Machine Condition MonitoringRoot Cause Analysis & Diagnosis |
Functions | Field ServicesMaintenance | Business OperationFacility ManagementLogistics & TransportationMaintenanceProcess Manufacturing | Business OperationDiscrete ManufacturingQuality Assurance | Discrete ManufacturingMaintenanceProcess ManufacturingQuality Assurance | Discrete ManufacturingProcess Manufacturing | |
Services | Data Science Services | System Integration | Data Science Services | |||
Technology Stack | ||||||
Infrastructure as a Service (IaaS) | None | Minor | Moderate | None | Minor | None |
Platform as a Service (PaaS) | None | Strong | Strong | Strong | None | None |
Application Infrastructure & Middleware | None | Moderate | Moderate | None | None | None |
Analytics & Modeling | Moderate | Moderate | Moderate | Moderate | Moderate | Moderate |
Functional Applications | None | Moderate | Minor | None | None | None |
Cybersecurity & Privacy | None | None | None | None | None | None |
Networks & Connectivity | None | None | Moderate | None | None | None |
Processors & Edge Intelligence | None | None | None | Minor | None | None |
Sensors | Moderate | Moderate | Moderate | None | None | None |
Automation & Control | None | None | Strong | 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 | AccentureAmazon Web Services | MicrosoftWiproDeloitte LLP | IntelHewlett Packard Enterprise (HPE)Amazon Web ServicesGoogleMicrosoft AzureOden TechnologiesHitachi VantaraSiemens |
Overview | ||||||
Supplier Slogan | Machines Talk, We Listen | Full-Stack Development Platform for the Internet of Things | Industrial IoT Platform for Digital Transformation | Edge Intelligence for Industrial and Commercial IoT | ||
HQ Location | United States | United States | United States | United States | United States | United States |
Year Founded | 2011 | 2009 | 2013 | 2013 | 2014 | 2013 |
Company Type | Private | Private | Private | Private | Private | Private |
Stock Ticker | ||||||
Revenue | $10-100m | $100m-1b | < $10m | < $10m | $10-100m | < $10m |
Employees | 201 - 1,000 | 201 - 1,000 | 51 - 200 | 51 - 200 | 51 - 200 | 51 - 200 |
Website | Open website | Open website | Open website | Open website | Open website | Open website |
Company Description |
Augury is on a mission to give our customers superior insights into the health and performance of the machines they use to make products, deliver services and improve lives. We are all surrounded by machines and rely on them in everything we do – from the buildings in which we live and work, the goods that we consume, to the power and running water that we use. There is significant cost and effort that goes into designing, manufacturing, installing and maintaining the machines that enable and support our daily lives. We combine Artificial Intelligence and the Internet of Things to make machines more reliable, reduce their environmental impact, and enhance human productivity. | C3 IoT provides a full-stack IoT development platform (PaaS) that enables the rapid design, development, and deployment of even the largest-scale big data / IoT applications that leverage telemetry, elastic Cloud Computing, analytics, and Machine Learning to apply the power of predictive analytics to any business value chain.
C3 IoT also provides a family of turn-key SaaS IoT applications including Predictive Maintenance, fraud detection, sensor network health, supply chain optimization, investment planning, and customer engagement. Customers can use pre-built C3 IoT applications, adapt those applications using the platform’s toolset, or build custom applications using C3 IoT’s Platform as a Service.
Year founded: 2009 | Altizon empowers Industrial Digital Revolutions globally by helping enterprises use Machine Data to drive business decisions. With a global footprint of over 100 enterprise users, Altizon is a leading Industrial IoT platform provider as recognized by Gartner, Forrester, BCG, Frost & Sullivan, and others. | Litmus transforms the way companies enable Industrial IoT, Industry 4.0 and Digital Transformation with one goal in mind - unmatched time-to-value. Our modern edge platform for industry provides instant data connectivity, ready-to-use analytics, and the ability to orchestrate applications at scale. Litmus liberates the data locked in any industrial system to transform critical edge data into actionable intelligence that can power Predictive Maintenance, Machine Learning, and AI. Customers include 10+ Fortune 500 manufacturing companies, while partners like Siemens, HPE, Intel and SNC Lavalin expand the Company’s path to market. For more information visit www.litmus.io. | FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT applications. FogHorn’s software platform brings the power of Machine Learning and advanced analytics to the On-Premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, asset performance optimization, operational intelligence and Predictive Maintenance use cases. | Falkonry is the leading provider of predictive operations technology for companies looking to achieve significant improvements in the uptime, performance, quality and safety of their operations. Falkonry's "pre-packaged" Machine Learning system, Falkonry LRS, enables operations teams to discover, explain and predict behaviors that matter, without requiring data scientists. Falkonry LRS complements a users domain expertise with predictive analytics to more deeply understand their operations, and can scale across assets, processes and operations. Our ready-to-use Machine Learning system, called Falkonry LRS, can be deployed and used directly by practitioners such as manufacturing engineers or process engineers, and does not require data scientists. In fact it is like a "data scientist-in-a-box" and can be deployed both On-Premises or in the cloud. |
IoT Solutions | Real-Time Diagnostics for Entire Facilities Augury monitors and protects production line assets as well as utility and balance of plant equipment. We arm engineering, maintenance, and reliability professionals with continuous insights to improve asset performance across their facilities. Reliability Meets Artificial Intelligence Augury’s technology places the power of Artificial Intelligence into the hands of engineers, reliability experts, and maintenance professionals. Our platform listens to machines, analyzes data in real time, and provides accurate and actionable machine health insights. | The Internet of Things (IoT) and advanced Data Science are rewriting the rules of competition. The advantage goes to organizations that can convert petabytes of freshly arrived and historical data to predictions – more quickly and more accurately than their competitors. Payoffs include better product and service design, promotion, and pricing; optimized supply chains that avoid delays and increase output; reduced churn; higher average revenue per customer; and Predictive Maintenance that avoids downtime for vehicle fleets and manufacturing systems while lowering service costs.
To make sense of and act on the unprecedented volume, velocity, and variety of data in real time, companies are applying the sciences of big data, advanced analytics, Machine Learning, and Cloud Computing. Products themselves are being redesigned to accommodate connectivity and low-cost sensors, creating a market opportunity for adaptive systems, a new generation of smart applications, and a renaissance of business process reengineering. The new IT paradigm will reshape the value chain by transforming product design, marketing, manufacturing, and after-sale services.
C3 IoT offers a new generation of smart, real-time applications, overcoming the development challenges that have blocked companies from realizing the potential of the Internet of Things. Proven in more than 20 enterprise-scale production environments, the C3 IoT Platform is PaaS for the design, development, deployment, and operation of next-generation IoT applications and business processes. | The Datonis platform can be used by manufacturers to build connected equipment which will constantly feed operational data to the cloud-based platform for aggregation and analysis. Many OEMs are using solutions from Altizon to improve operational efficiencies, remote monitoring as well as Predictive Maintenance. IoT Platform, Manufacturing intelligence, Edge, Digital Transformation | Litmus Edge is a modern edge platform that collects data from any industrial asset, offers pre-built applications, KPIs and analytics, provides the ability to build and run custom applications, and integrates data with any cloud or enterprise system. Litmus Edge is an all-in-one platform that is easy-to-use and deploy, offering the data intelligence needed to improve industrial operations at scale and power industrial use cases ranging from Predictive Maintenance to Machine Learning. For more information visit https://litmus.io/litmus-edge/. Litmus Edge Manager provides a single point of control to manage and aggregate data from any number of edge devices, providing users with a complete picture of edge devices, applications and deployments. Litmus Edge Manager allows users to create, orchestrate, manage and update any containerized application from the cloud or data center level to Litmus Edge. Manage the device lifecycle with flexible application options leading to enterprise-level visibility for intelligence from the edge. For more information visit https://litmus.io/litmus-edge-manager/. | Falkonry LRS 2.0 : Machine Learning for predictive operations
Pre-packaged Machine Learning empowers your teams with pattern discovery, predictive analytics and explanation to improve uptime, performance, quality and safety
Short time to value: Discover patterns fast, apply many times
Built for operations: Complement your domain expertise with prediction
Scalable: Work across assets, processes and operations | |
Key Customers | Enel, ENGIE, Cisco, Exelon, Endesa, Eversource, Pella, PG&E, U.S. Department of State | Spectra Symbol Corp., Varroc Group | Saint Gobain Sekurit, Niagara Bottling | |||
Subsidiary | ||||||
Parent Company | ||||||
IoT Snapshot | ||||||
Technologies | Analytics & ModelingSensors | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Functional ApplicationsInfrastructure as a Service (IaaS)Sensors | Analytics & ModelingPlatform as a Service (PaaS)Application Infrastructure & MiddlewareAutomation & ControlFunctional ApplicationsInfrastructure as a Service (IaaS)Networks & ConnectivitySensors | Analytics & ModelingPlatform as a Service (PaaS)Processors & Edge Intelligence | Analytics & ModelingInfrastructure as a Service (IaaS) | Analytics & Modeling |
Industries | Consumer GoodsFood & BeverageMetalsPharmaceuticalsUtilities | AerospaceElectrical GridsEquipment & MachineryFinance & InsuranceHealthcare & HospitalsOil & GasRetailTelecommunicationsTransportationUtilities | AutomotiveChemicalsConsumer GoodsElectrical GridsOil & GasPackagingUtilities | Equipment & MachineryFood & Beverage | AutomotiveBuildingsCities & MunicipalitiesHealthcare & HospitalsMiningOil & GasRenewable EnergyRetailTransportationUtilities | AutomotiveChemicalsElectronicsMetalsMiningNational Security & DefenseOil & Gas |
Use Cases | Predictive MaintenanceMachine Condition MonitoringWater Utility Management | Advanced Metering InfrastructureBuilding Energy ManagementEnergy Management SystemFleet ManagementFraud DetectionPredictive MaintenancePredictive Quality AnalyticsRoot Cause Analysis & Diagnosis | Advanced Metering InfrastructureBuilding Energy ManagementEnergy Management SystemFactory Operations Visibility & IntelligenceMachine Condition MonitoringPredictive Quality AnalyticsRemote Asset ManagementRoot Cause Analysis & Diagnosis | Edge Computing & Edge IntelligenceMachine Condition MonitoringPredictive Maintenance | Edge Computing & Edge IntelligenceMachine Condition Monitoring | Machine Condition MonitoringRoot Cause Analysis & Diagnosis |
Functions | Field ServicesMaintenance | Business OperationFacility ManagementLogistics & TransportationMaintenanceProcess Manufacturing | Business OperationDiscrete ManufacturingQuality Assurance | Discrete ManufacturingMaintenanceProcess ManufacturingQuality Assurance | Discrete ManufacturingProcess Manufacturing | |
Services | Data Science Services | System Integration | Data Science Services | |||
Technology Stack | ||||||
Infrastructure as a Service (IaaS) | None | Minor | Moderate | None | Minor | None |
Platform as a Service (PaaS) | None | Strong | Strong | Strong | None | None |
Application Infrastructure & Middleware | None | Moderate | Moderate | None | None | None |
Analytics & Modeling | Moderate | Moderate | Moderate | Moderate | Moderate | Moderate |
Functional Applications | None | Moderate | Minor | None | None | None |
Cybersecurity & Privacy | None | None | None | None | None | None |
Networks & Connectivity | None | None | Moderate | None | None | None |
Processors & Edge Intelligence | None | None | None | Minor | None | None |
Sensors | Moderate | Moderate | Moderate | None | None | None |
Automation & Control | None | None | Strong | 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 | AccentureAmazon Web Services | MicrosoftWiproDeloitte LLP | IntelHewlett Packard Enterprise (HPE)Amazon Web ServicesGoogleMicrosoft AzureOden TechnologiesHitachi VantaraSiemens |