Overview | ||||||
| Supplier Slogan | We Make Industry Smarter. | The first end-to-end digitalization platform | ||||
| HQ Location | Finland | United States | Poland | China | China | Austria |
| Year Founded | 2002 | 2013 | 2015 | 2018 | 2015 | 2021 |
| Company Type | Private | Private | Private | Private | Private | Private |
| Stock Ticker | ||||||
| Revenue | < $10m | < $10m | < $10m | < $10m | < $10m | < $10m |
| Employees | 11 - 50 | 51 - 200 | 11 - 50 | 51 - 200 | 11 - 50 | < 10 |
| Website | Open website | Open website | Open website | Open website | Open website | Open website |
| Company Description | Distence is a pivot, with a new condence.io solution, offering Industrial Internet of Things (IIoT) solutions for demanding industrial environments. The company, with 15 years of experience, digitalises and connects industrial equipment such as pumps, motors, fans, and gears to an analytical cloud platform (Condence) which provides valuable data and information. It serves as a platform for machinelearnig and AI. This information then enables its users to optimise the usage and maintenance of their equipment, creating vast energy and maintenance savings. Distence’s specialty is in rotating machinery with the combination of vibration analysis and other continuous condition monitoring methodologies. Distence has delivered thousands of machine health solutions to more than 40 countries worldwide, including major clients such as Moventas (wind turbine gears), ABB, DB Santasalo, Danfoss and Skanska (construction crane intelligence). | 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. | The strength and foundation of Elmodis rest on the professionals of various fields of expertise, who have been building the company based on an innovative idea of its founders, since 2015. Engineers Artur Hanc and Marcin Święch in their several-years-long careers have developed various types of solutions for industry in the field of machine diagnostics and monitoring. The technology which they have created together, bearing in mind the large market of electrically-driven industrial machines, has become successful and gave rise to Elmodis company. | 江行智能由国际知名科学家、加拿大工程院院士、IEEE Fellow刘江川教授创立于2018年。公司成立伊始即获得红杉资本中国种子基金数千万元的风险投资。 | 大制科技专注于技术研究与创新，是一家新型的工业大数据公司。不同于工业互联网1.0时代基于秒级以上采样频率生产数据只用作管理，大制基于毫秒级采样频率工业大数据的相关技术，对制造工厂进行工程和管理上的全面优化。 | We raise the value of your machines through your digital customer platform and smart services. Autonoma helps industrial machinery- and plant building manufacturers to fully digitalize their machines. Customers can collect and visualize all data easily, and build smart services on top of them, such as the Predictive Maintenance and a digital representation of their machines. With our white labelled platform, they can sell their customers a branded interface with their design to deepen their customer relationship and engagement. As a result, customers can generate service revenues with new and retrofitted machines within weeks. |
| IoT Solutions | Software Solution
Distence provides Condence product family that combines both embedded analytics and cloud service. Our software portfolio can be described as a toolbox or library of different analytical options.
The Condence software is divided into two places which are the cloud and the embedded edge (edge computing & analytics on hardware). Data is analyzed on the local level and only the relevant part of it is sent to the cloud.
Edge computing analysis requires a set of rules to define measurement from the sensor and to understand the data by making data computations. To make this scalable, Distence provides device management from the could and analysis at the edge.
Managing and optimizing data connectivity is also a relevant benefit in this approach. In some cases, you might even need the RAW data from the vibration sensor. A user can ask for it when needed and post the analysis to an external system.
Cloud computing is used also for visualizing, post-processing and accessing measurements and metrics. Data can be stored in the cloud or sent to a third party cloud by enabling a “system of systems” solution architecture.
Hardware Solution
Distence has more than 15 years of experience on hardware development for embedded application in industrial environments. Described hardware is designed and optimized for this specific use. Distence provides several hardware options in the Condence product family. The solution is built from Edge Computing hardware running embedded analytics and management from the cloud.
Hardware is modular and it can easily adjust to fit required general needs. Two most common differences of hardware types are whether it will need vibration analysis from IEPE channel or not.
Our technology can take up to 8 dimensions of acceleration simultaneously. If there is a need for more, you can combine several hardware units. On top of this, there is an option to connect V or mA sensors and digital buses to have a complete overview of asset performance and condition. | 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/. | Elmodis system enables machine manufacturers to reduce the costs of guarantee repairs and improve their products. End users, on the other hand, have access to significant information regarding the machine operation and possible occurrence of any failures. This enables prevention of unscheduled outages, reduction of machine operating costs and, consequently, increases the availability of the entire machine stock. | 公司致力于先进边缘计算技术的开发及其在能源互联网、工业安监、智慧仓储等领域的应用。 | 大制的先进技术包括基于高质量大数据平台、CPS信息物理系统和边缘计算的工业智能；拥有工业自动化设备通信与CPS技术，工业大数据边缘平台和工业知识与数据驱动融合的混合算法。 | We provide an edge device (and software library) to easily read and write on machine- and plant Controller to collect data. The data is visualized in the Autonoma platform, which can be branded with the customers logo and corporate design. The result is a fully scalable customer portal where industrial companies can build smart services on top, to generate more revenue. Additionally, customers can add metadata (documentations, service contracts, sales contracts, contact details, etc.) to every single machine, and can upload the CAD files to easily create a digital representation of the machine, with live data (i.e. digital twin with Augmented Reality 3D model). |
| Key Customers | Saint Gobain Sekurit, Niagara Bottling | Martech Plus, Eplan, Damel,Owent, Ponar | Machinery- and plant building companies with < 1000 employees. | |||
| Subsidiary | ||||||
| Parent Company | ||||||
IoT Snapshot | ||||||
| Technologies | Analytics & ModelingPlatform as a Service (PaaS)Processors & Edge Intelligence | Analytics & ModelingPlatform as a Service (PaaS)Processors & Edge Intelligence | Processors & Edge IntelligenceAnalytics & ModelingSensors | Processors & Edge IntelligenceAnalytics & ModelingNetworks & Connectivity | Infrastructure as a Service (IaaS)Platform as a Service (PaaS)Processors & Edge Intelligence | |
| Industries | Equipment & MachineryFood & Beverage | AutomotiveConstruction & InfrastructureEquipment & Machinery | ||||
| Use Cases | Edge Computing & Edge IntelligenceMachine Condition Monitoring | Edge Computing & Edge IntelligenceMachine Condition MonitoringPredictive Maintenance | Machine Condition MonitoringEdge Computing & Edge IntelligencePredictive Maintenance | Computer VisionEdge Computing & Edge IntelligencePredictive MaintenanceRemote Asset Management | Edge Computing & Edge IntelligenceMachine Condition MonitoringPredictive Maintenance | Asset Lifecycle ManagementDigital TwinEdge Computing & Edge IntelligencePredictive MaintenanceRemote Asset Management |
| Functions | Discrete ManufacturingMaintenanceProcess ManufacturingQuality Assurance | |||||
| Services | System Integration | Cloud Planning, Design & Implementation ServicesSoftware Design & Engineering Services | ||||
Technology Stack | ||||||
| Infrastructure as a Service (IaaS) | None | None | None | None | None | Minor |
| Platform as a Service (PaaS) | None | Strong | Minor | None | None | Moderate |
| Application Infrastructure & Middleware | None | None | None | None | None | None |
| Analytics & Modeling | None | Moderate | Moderate | Minor | Minor | None |
| Functional Applications | None | None | None | None | None | None |
| Cybersecurity & Privacy | None | None | None | None | None | None |
| Networks & Connectivity | None | None | None | None | Minor | None |
| Processors & Edge Intelligence | None | Minor | Minor | Minor | Minor | Minor |
| Sensors | None | None | None | Minor | 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 | FoggerMicrosoft |
Overview | ||||||
| Supplier Slogan | We Make Industry Smarter. | The first end-to-end digitalization platform | ||||
| HQ Location | Finland | United States | Poland | China | China | Austria |
| Year Founded | 2002 | 2013 | 2015 | 2018 | 2015 | 2021 |
| Company Type | Private | Private | Private | Private | Private | Private |
| Stock Ticker | ||||||
| Revenue | < $10m | < $10m | < $10m | < $10m | < $10m | < $10m |
| Employees | 11 - 50 | 51 - 200 | 11 - 50 | 51 - 200 | 11 - 50 | < 10 |
| Website | Open website | Open website | Open website | Open website | Open website | Open website |
| Company Description | Distence is a pivot, with a new condence.io solution, offering Industrial Internet of Things (IIoT) solutions for demanding industrial environments. The company, with 15 years of experience, digitalises and connects industrial equipment such as pumps, motors, fans, and gears to an analytical cloud platform (Condence) which provides valuable data and information. It serves as a platform for machinelearnig and AI. This information then enables its users to optimise the usage and maintenance of their equipment, creating vast energy and maintenance savings. Distence’s specialty is in rotating machinery with the combination of vibration analysis and other continuous condition monitoring methodologies. Distence has delivered thousands of machine health solutions to more than 40 countries worldwide, including major clients such as Moventas (wind turbine gears), ABB, DB Santasalo, Danfoss and Skanska (construction crane intelligence). | 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. | The strength and foundation of Elmodis rest on the professionals of various fields of expertise, who have been building the company based on an innovative idea of its founders, since 2015. Engineers Artur Hanc and Marcin Święch in their several-years-long careers have developed various types of solutions for industry in the field of machine diagnostics and monitoring. The technology which they have created together, bearing in mind the large market of electrically-driven industrial machines, has become successful and gave rise to Elmodis company. | 江行智能由国际知名科学家、加拿大工程院院士、IEEE Fellow刘江川教授创立于2018年。公司成立伊始即获得红杉资本中国种子基金数千万元的风险投资。 | 大制科技专注于技术研究与创新，是一家新型的工业大数据公司。不同于工业互联网1.0时代基于秒级以上采样频率生产数据只用作管理，大制基于毫秒级采样频率工业大数据的相关技术，对制造工厂进行工程和管理上的全面优化。 | We raise the value of your machines through your digital customer platform and smart services. Autonoma helps industrial machinery- and plant building manufacturers to fully digitalize their machines. Customers can collect and visualize all data easily, and build smart services on top of them, such as the Predictive Maintenance and a digital representation of their machines. With our white labelled platform, they can sell their customers a branded interface with their design to deepen their customer relationship and engagement. As a result, customers can generate service revenues with new and retrofitted machines within weeks. |
| IoT Solutions | Software Solution
Distence provides Condence product family that combines both embedded analytics and cloud service. Our software portfolio can be described as a toolbox or library of different analytical options.
The Condence software is divided into two places which are the cloud and the embedded edge (edge computing & analytics on hardware). Data is analyzed on the local level and only the relevant part of it is sent to the cloud.
Edge computing analysis requires a set of rules to define measurement from the sensor and to understand the data by making data computations. To make this scalable, Distence provides device management from the could and analysis at the edge.
Managing and optimizing data connectivity is also a relevant benefit in this approach. In some cases, you might even need the RAW data from the vibration sensor. A user can ask for it when needed and post the analysis to an external system.
Cloud computing is used also for visualizing, post-processing and accessing measurements and metrics. Data can be stored in the cloud or sent to a third party cloud by enabling a “system of systems” solution architecture.
Hardware Solution
Distence has more than 15 years of experience on hardware development for embedded application in industrial environments. Described hardware is designed and optimized for this specific use. Distence provides several hardware options in the Condence product family. The solution is built from Edge Computing hardware running embedded analytics and management from the cloud.
Hardware is modular and it can easily adjust to fit required general needs. Two most common differences of hardware types are whether it will need vibration analysis from IEPE channel or not.
Our technology can take up to 8 dimensions of acceleration simultaneously. If there is a need for more, you can combine several hardware units. On top of this, there is an option to connect V or mA sensors and digital buses to have a complete overview of asset performance and condition. | 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/. | Elmodis system enables machine manufacturers to reduce the costs of guarantee repairs and improve their products. End users, on the other hand, have access to significant information regarding the machine operation and possible occurrence of any failures. This enables prevention of unscheduled outages, reduction of machine operating costs and, consequently, increases the availability of the entire machine stock. | 公司致力于先进边缘计算技术的开发及其在能源互联网、工业安监、智慧仓储等领域的应用。 | 大制的先进技术包括基于高质量大数据平台、CPS信息物理系统和边缘计算的工业智能；拥有工业自动化设备通信与CPS技术，工业大数据边缘平台和工业知识与数据驱动融合的混合算法。 | We provide an edge device (and software library) to easily read and write on machine- and plant Controller to collect data. The data is visualized in the Autonoma platform, which can be branded with the customers logo and corporate design. The result is a fully scalable customer portal where industrial companies can build smart services on top, to generate more revenue. Additionally, customers can add metadata (documentations, service contracts, sales contracts, contact details, etc.) to every single machine, and can upload the CAD files to easily create a digital representation of the machine, with live data (i.e. digital twin with Augmented Reality 3D model). |
| Key Customers | Saint Gobain Sekurit, Niagara Bottling | Martech Plus, Eplan, Damel,Owent, Ponar | Machinery- and plant building companies with < 1000 employees. | |||
| Subsidiary | ||||||
| Parent Company | ||||||
IoT Snapshot | ||||||
| Technologies | Analytics & ModelingPlatform as a Service (PaaS)Processors & Edge Intelligence | Analytics & ModelingPlatform as a Service (PaaS)Processors & Edge Intelligence | Processors & Edge IntelligenceAnalytics & ModelingSensors | Processors & Edge IntelligenceAnalytics & ModelingNetworks & Connectivity | Infrastructure as a Service (IaaS)Platform as a Service (PaaS)Processors & Edge Intelligence | |
| Industries | Equipment & MachineryFood & Beverage | AutomotiveConstruction & InfrastructureEquipment & Machinery | ||||
| Use Cases | Edge Computing & Edge IntelligenceMachine Condition Monitoring | Edge Computing & Edge IntelligenceMachine Condition MonitoringPredictive Maintenance | Machine Condition MonitoringEdge Computing & Edge IntelligencePredictive Maintenance | Computer VisionEdge Computing & Edge IntelligencePredictive MaintenanceRemote Asset Management | Edge Computing & Edge IntelligenceMachine Condition MonitoringPredictive Maintenance | Asset Lifecycle ManagementDigital TwinEdge Computing & Edge IntelligencePredictive MaintenanceRemote Asset Management |
| Functions | Discrete ManufacturingMaintenanceProcess ManufacturingQuality Assurance | |||||
| Services | System Integration | Cloud Planning, Design & Implementation ServicesSoftware Design & Engineering Services | ||||
Technology Stack | ||||||
| Infrastructure as a Service (IaaS) | None | None | None | None | None | Minor |
| Platform as a Service (PaaS) | None | Strong | Minor | None | None | Moderate |
| Application Infrastructure & Middleware | None | None | None | None | None | None |
| Analytics & Modeling | None | Moderate | Moderate | Minor | Minor | None |
| Functional Applications | None | None | None | None | None | None |
| Cybersecurity & Privacy | None | None | None | None | None | None |
| Networks & Connectivity | None | None | None | None | Minor | None |
| Processors & Edge Intelligence | None | Minor | Minor | Minor | Minor | Minor |
| Sensors | None | None | None | Minor | 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 | FoggerMicrosoft |