Overview | ||||||
Supplier Slogan | Edge Intelligence for Industrial and Commercial IoT | |||||
HQ Location | Sweden | United States | United States | United States | France | Israel |
Year Founded | 2016 | 2013 | 2014 | 2007 | 2016 | 2017 |
Company Type | Private | Private | Private | Private | Private | Private |
Stock Ticker | ||||||
Revenue | < $10m | < $10m | $10-100m | $10-100m | < $10m | < $10m |
Employees | 11 - 50 | 51 - 200 | 51 - 200 | 51 - 200 | 11 - 50 | 11 - 50 |
Website | Open website | Open website | Open website | Open website | Open website | Open website |
Company Description | Ekkono is a software company. We license embedded software and the tools to make connected things smart. Machine Learning will not be used for one feature, but to make virtually all functions self-aware and predictive. This is why we empower product companies to do it yourself, using our tools. Our toolkit facilitates use cases like predictive/condition-based maintenance, self-configuring products, performance optimization, and entirely new business models. With Ekkono you can harmonize on one solution for all your edge machine learning needs. | 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. | SpaceTime Insight develops and delivers innovative advanced analytics and IIoT applications for asset-intensive industries. With our software, customers reduce cost and risk, increase capital efficiency, pinpoint theft, spoilage, and shrinkage, lower the frequency and duration of service outages, optimize field crews and operations, ensure regulatory compliance, and more. They understand the entire breadth of their operations in motion, in context, and in real time, and generate greater returns at lower risk, lower cost, and greater speed. SpaceTime Insight’s software powers mission-critical systems for some of the largest companies around the world in diverse industries including utilities, shipping, manufacturing, and energy. | Bringing AI to everyday objects in a simple, fast, and affordable manner.
We are mathematicians, engineers, developers, data scientists, marketers, salespeople, artificial intelligence consultants, connected objects specialists and above all, entrepreneurs who know the capacities and constraints of companies. | DeepCube focuses on research and development of deep learning technologies that result in improved real-world deployment of AI systems. |
IoT Solutions | Ekkono is an embedded edge machine-learning library, purpose-built for IoT. The unique design makes it resource efficient with a small footprint. Still, Ekkono does not compromise on functionality. | 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/. | Nokia Software IoT was formed through the acquisition of SpaceTime Insight in April, 2018 and Nokia’s existing IoT Applications group. SpaceTime develops and delivers innovative advanced analytics applications and Industrial Internet of Things technologies for asset-intensive industries. The applications help them reduce cost and risk, increase capital efficiency, pinpoint theft, spoilage, and shrinkage, lower the frequency and duration of service outages, personalize customer service, optimize field crews and operations, ensure regulatory compliance, and more. The Machine Learning algorithms detect anomalies, predict the probability of asset failure, continuously optimize operations, and help companies deliver the best possible business results even when unforeseeable disruptions arise. | Artificial intelligence (AI) software for embedded systems | The company’s numerous patented innovations include methods for faster and more accurate training of deep learning models, and drastically improved inference performance.
DeepCube’s proprietary framework can be deployed on top of any existing hardware in both datacenters and edge devices, resulting in over 10x speed improvement and memory reduction. | |
Key Customers | Volvo, ABB, Husqvarna | Saint Gobain Sekurit, Niagara Bottling | American Water, Arizona Public Service, BC Hydro, The California Independent System Operator, FedEx, Singapore Power | |||
Subsidiary | ||||||
Parent Company | ||||||
IoT Snapshot | ||||||
Technologies | Analytics & ModelingApplication Infrastructure & Middleware | Analytics & ModelingPlatform as a Service (PaaS)Processors & Edge Intelligence | Analytics & ModelingInfrastructure as a Service (IaaS) | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & Middleware | Analytics & ModelingApplication Infrastructure & Middleware |
Industries | Equipment & MachineryFood & Beverage | AutomotiveBuildingsCities & MunicipalitiesHealthcare & HospitalsMiningOil & GasRenewable EnergyRetailTransportationUtilities | Electrical GridsTransportation | |||
Use Cases | Edge Computing & Edge Intelligence | Edge Computing & Edge IntelligenceMachine Condition MonitoringPredictive Maintenance | Edge Computing & Edge IntelligenceMachine Condition Monitoring | Asset Health Management (AHM)Edge Computing & Edge IntelligenceImmersive AnalyticsRemote Asset ManagementVirtual Reality | Edge Computing & Edge Intelligence | Edge Computing & Edge Intelligence |
Functions | Discrete ManufacturingMaintenanceProcess ManufacturingQuality Assurance | Discrete ManufacturingProcess Manufacturing | Logistics & Transportation | |||
Services | System Integration | Data Science Services | ||||
Technology Stack | ||||||
Infrastructure as a Service (IaaS) | None | None | Minor | None | None | None |
Platform as a Service (PaaS) | None | Strong | None | Strong | None | None |
Application Infrastructure & Middleware | Minor | None | None | Moderate | Minor | Minor |
Analytics & Modeling | Moderate | Moderate | Moderate | Moderate | Minor | 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 | Minor | None | 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 | IntelHewlett Packard Enterprise (HPE)Amazon Web ServicesGoogleMicrosoft AzureOden TechnologiesHitachi VantaraSiemens | Nokia |
Overview | ||||||
Supplier Slogan | Edge Intelligence for Industrial and Commercial IoT | |||||
HQ Location | Sweden | United States | United States | United States | France | Israel |
Year Founded | 2016 | 2013 | 2014 | 2007 | 2016 | 2017 |
Company Type | Private | Private | Private | Private | Private | Private |
Stock Ticker | ||||||
Revenue | < $10m | < $10m | $10-100m | $10-100m | < $10m | < $10m |
Employees | 11 - 50 | 51 - 200 | 51 - 200 | 51 - 200 | 11 - 50 | 11 - 50 |
Website | Open website | Open website | Open website | Open website | Open website | Open website |
Company Description | Ekkono is a software company. We license embedded software and the tools to make connected things smart. Machine Learning will not be used for one feature, but to make virtually all functions self-aware and predictive. This is why we empower product companies to do it yourself, using our tools. Our toolkit facilitates use cases like predictive/condition-based maintenance, self-configuring products, performance optimization, and entirely new business models. With Ekkono you can harmonize on one solution for all your edge machine learning needs. | 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. | SpaceTime Insight develops and delivers innovative advanced analytics and IIoT applications for asset-intensive industries. With our software, customers reduce cost and risk, increase capital efficiency, pinpoint theft, spoilage, and shrinkage, lower the frequency and duration of service outages, optimize field crews and operations, ensure regulatory compliance, and more. They understand the entire breadth of their operations in motion, in context, and in real time, and generate greater returns at lower risk, lower cost, and greater speed. SpaceTime Insight’s software powers mission-critical systems for some of the largest companies around the world in diverse industries including utilities, shipping, manufacturing, and energy. | Bringing AI to everyday objects in a simple, fast, and affordable manner.
We are mathematicians, engineers, developers, data scientists, marketers, salespeople, artificial intelligence consultants, connected objects specialists and above all, entrepreneurs who know the capacities and constraints of companies. | DeepCube focuses on research and development of deep learning technologies that result in improved real-world deployment of AI systems. |
IoT Solutions | Ekkono is an embedded edge machine-learning library, purpose-built for IoT. The unique design makes it resource efficient with a small footprint. Still, Ekkono does not compromise on functionality. | 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/. | Nokia Software IoT was formed through the acquisition of SpaceTime Insight in April, 2018 and Nokia’s existing IoT Applications group. SpaceTime develops and delivers innovative advanced analytics applications and Industrial Internet of Things technologies for asset-intensive industries. The applications help them reduce cost and risk, increase capital efficiency, pinpoint theft, spoilage, and shrinkage, lower the frequency and duration of service outages, personalize customer service, optimize field crews and operations, ensure regulatory compliance, and more. The Machine Learning algorithms detect anomalies, predict the probability of asset failure, continuously optimize operations, and help companies deliver the best possible business results even when unforeseeable disruptions arise. | Artificial intelligence (AI) software for embedded systems | The company’s numerous patented innovations include methods for faster and more accurate training of deep learning models, and drastically improved inference performance.
DeepCube’s proprietary framework can be deployed on top of any existing hardware in both datacenters and edge devices, resulting in over 10x speed improvement and memory reduction. | |
Key Customers | Volvo, ABB, Husqvarna | Saint Gobain Sekurit, Niagara Bottling | American Water, Arizona Public Service, BC Hydro, The California Independent System Operator, FedEx, Singapore Power | |||
Subsidiary | ||||||
Parent Company | ||||||
IoT Snapshot | ||||||
Technologies | Analytics & ModelingApplication Infrastructure & Middleware | Analytics & ModelingPlatform as a Service (PaaS)Processors & Edge Intelligence | Analytics & ModelingInfrastructure as a Service (IaaS) | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & Middleware | Analytics & ModelingApplication Infrastructure & Middleware |
Industries | Equipment & MachineryFood & Beverage | AutomotiveBuildingsCities & MunicipalitiesHealthcare & HospitalsMiningOil & GasRenewable EnergyRetailTransportationUtilities | Electrical GridsTransportation | |||
Use Cases | Edge Computing & Edge Intelligence | Edge Computing & Edge IntelligenceMachine Condition MonitoringPredictive Maintenance | Edge Computing & Edge IntelligenceMachine Condition Monitoring | Asset Health Management (AHM)Edge Computing & Edge IntelligenceImmersive AnalyticsRemote Asset ManagementVirtual Reality | Edge Computing & Edge Intelligence | Edge Computing & Edge Intelligence |
Functions | Discrete ManufacturingMaintenanceProcess ManufacturingQuality Assurance | Discrete ManufacturingProcess Manufacturing | Logistics & Transportation | |||
Services | System Integration | Data Science Services | ||||
Technology Stack | ||||||
Infrastructure as a Service (IaaS) | None | None | Minor | None | None | None |
Platform as a Service (PaaS) | None | Strong | None | Strong | None | None |
Application Infrastructure & Middleware | Minor | None | None | Moderate | Minor | Minor |
Analytics & Modeling | Moderate | Moderate | Moderate | Moderate | Minor | 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 | Minor | None | 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 | IntelHewlett Packard Enterprise (HPE)Amazon Web ServicesGoogleMicrosoft AzureOden TechnologiesHitachi VantaraSiemens | Nokia |