Overview | ||||||
Supplier Slogan | Intelligent Predictive Maintenance | |||||
HQ Location | Turkey | United States | United States | Ireland | United States | China |
Year Founded | 1999 | 2011 | 2013 | 2017 | 2007 | 2012 |
Company Type | Private | Private | Private | Private | Private | Public |
Stock Ticker | ||||||
Revenue | < $10m | < $10m | < $10m | < $10m | $10-100m | $10-100m |
Employees | 11 - 50 | 11 - 50 | 51 - 200 | < 10 | 51 - 200 | 51 - 200 |
Website | Open website | Open website | Open website | Open website | Open website | Open website |
Company Description | Artesis manufactures a range of intelligent condition monitoring products including the Motor Condition Monitor (e-MCM), Plant Condition Monitor (e-PCM) and Portable motor-driven test system (AMT Pro) instruments, and the Artesis Enterprise Server (AES) software package. | GroveStreams is cloud-based Data Analytics Platform for the Internet of Things that provides real-time decision making capabilities to users and devices. It has been built with Big-Data tools to manage large amounts of devices and Data Streams with very high frequency sample rates.
The GroveStreams Data Analytics Platform was designed to allow IoT entrepreneurs and developers to start with small test projects and scale to capture millions of streams of data coming in from sensors, apps, and other fixed and mobile devices across the globe. Our patented Data Analytics platform gives you immediate access to your stream data, roll-up data, and up to 140 statistics per stream. It is designed as a horizontal platform to be used across all industries. | OmniSci is the pioneer in accelerated analytics. The OmniSci platform is used in business and government to find insights in data beyond the limits of mainstream analytics tools. Harnessing the massive parallelism of modern CPU and GPU hardware, the platform is available in the cloud and On-Premise. OmniSci originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). OmniSci is funded by GV, In-Q-Tel, New Enterprise Associates (NEA), NVIDIA, Tiger Global Management, Vanedge Capital and Verizon Ventures. The company is headquartered in San Francisco. Learn more about OmniSci at www.omnisci.com. | Cognition is a Big Data and IIoT solutions firm based in Dublin and London, with pan-EU coverage. Our company was founded by three ex-strategy consultants who've worked together and developed the solution over 10 years. | 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. | Founded in 2012, Kingsoft Cloud is the leading cloud service provider in China. Since establishment, Kingsoft Cloud is devoting on providing customer safe, reliable, stable and high-quality cloud computing services. |
IoT Solutions | Accelerated Analytics Platform
Accelerated Analytics Platform
The OmniSci platform is designed to overcome the scalability and performance limitations of legacy analytics tools faced with the scale, velocity and location attributes of today’s big datasets. Those tools are collapsing, becoming too slow and too hardware-intensive to be effective in big data analytics.
OmniSciDB
Open source SQL engine
The foundation of the platform is OmniSciDB, the world’s fastest open-source, analytics database. OmniSciDB harnesses the power of GPUs and CPUs and returns SQL query results in milliseconds, even on tables with many billions of rows. OmniSciDB delivers that extreme big data analytics performance with a combination of support for native SQL, rapid query compilation, query vectorization and advanced three-tier memory management.
OmniSci Render
Server-side visual rendering
OmniSci Render is a server-side engine designed for rendering pointmap, scatterplot and polygon visualizations of massive datasets. This gives users zero-latency, exploratory interaction with complex visualizations, something never before possible. For geospatial visualization, the Vega rendering engine API allows users to visualize up to billions of points, lines, or polygons.
OmniSci Immerse
Interactive visual analytics
OmniSci Immerse is a web-based data visualization interface, leveraging the accelerated speed and rendering capabilities of OmniSciDB and OmniSci Render for unparalleled visual interaction. OmniSci Immerse is incredibly intuitive and easy to use, providing standard visualizations, such as line, bar, and pie charts, as well as complex data visualizations, such as geo-point maps, geo heat maps, choropleths, and scatter plots. Dashboards automatically cross-filter when interacting with data, and refresh with zero latency.
Data Integration
Connecting data sources to OmniSci
OmniSci open sourced the OmniSciDB SQL engine to make it easy and effortless for users and developers to accelerate analytics and Data Science workloads. OmniSciDB is available on GitHub under the Apache 2.0 license, alongside other components like a Python interface (pymapd) and JavaScript infrastructure (omnisci-connector, omnisci-charting), making OmniSci the leader in Open Source accelerated analytics. | What we do - Help organisations visualise the totality of their operational performance in real-time so they can make better decisions - Optimise a company’s assets for maximum efficiency, releasing any value that might be trapped in existing data - Identify savings or control measures, scanning the entire operation for anomalies in performance Our unique solution - We simplify the complexity of IIoT and Big Data deployments using agile techniques to prove concept and business case - A portal with a customisable, holistic view of operations, that tracks interventions to completion - Our solution is underpinned by Expert Models analytics platform and industry specific algorithms | 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. | Kingsoft Cloud have developed a comprehensive suite of cloud computing services, with solutions for many industries, such as government, finance, AIoT, healthcare, industrial engineering, media, video, game, education, Internet, content services. These solutions integrate with AI, big data, IoT, blockchain, edge computing, and AR/VR technologies. | ||
Key Customers | 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 & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & MiddlewareNetworks & ConnectivityPlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & MiddlewareFunctional ApplicationsSensors | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & MiddlewareInfrastructure as a Service (IaaS)Platform as a Service (PaaS)Cybersecurity & Privacy |
Industries | AutomotiveFood & BeverageOil & GasPharmaceuticalsTransportationUtilities | AgricultureHealthcare & HospitalsSecurity & Public SafetyUtilities | AutomotiveOil & GasTelecommunications | AgricultureBuildingsFood & BeverageUtilities | Electrical GridsTransportation | Cities & MunicipalitiesEducationFinance & InsuranceHealthcare & HospitalsTransportation |
Use Cases | Asset Lifecycle ManagementMachine Condition MonitoringOutdoor Environmental MonitoringPredictive MaintenanceRemote Asset ManagementWater Utility Management | Building Energy Management | Building Automation & ControlBuilding Energy Management | Asset Health Management (AHM)Edge Computing & Edge IntelligenceImmersive AnalyticsRemote Asset ManagementVirtual Reality | Computer VisionEdge Computing & Edge IntelligenceFacial Recognition | |
Functions | Logistics & Transportation | Business OperationField Services | Process ManufacturingQuality Assurance | Logistics & Transportation | ||
Services | Data Science ServicesSoftware Design & Engineering Services | Data Science Services | ||||
Technology Stack | ||||||
Infrastructure as a Service (IaaS) | None | None | None | None | None | Moderate |
Platform as a Service (PaaS) | None | Moderate | Moderate | None | Strong | Minor |
Application Infrastructure & Middleware | Minor | Minor | Minor | Minor | Moderate | Moderate |
Analytics & Modeling | Minor | Minor | Moderate | Minor | Moderate | Moderate |
Functional Applications | None | None | None | Minor | None | None |
Cybersecurity & Privacy | None | None | None | None | None | Moderate |
Networks & Connectivity | None | None | Minor | None | None | None |
Processors & Edge Intelligence | None | None | None | None | None | None |
Sensors | None | None | None | Moderate | 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 | Nokia |
Overview | ||||||
Supplier Slogan | Intelligent Predictive Maintenance | |||||
HQ Location | Turkey | United States | United States | Ireland | United States | China |
Year Founded | 1999 | 2011 | 2013 | 2017 | 2007 | 2012 |
Company Type | Private | Private | Private | Private | Private | Public |
Stock Ticker | ||||||
Revenue | < $10m | < $10m | < $10m | < $10m | $10-100m | $10-100m |
Employees | 11 - 50 | 11 - 50 | 51 - 200 | < 10 | 51 - 200 | 51 - 200 |
Website | Open website | Open website | Open website | Open website | Open website | Open website |
Company Description | Artesis manufactures a range of intelligent condition monitoring products including the Motor Condition Monitor (e-MCM), Plant Condition Monitor (e-PCM) and Portable motor-driven test system (AMT Pro) instruments, and the Artesis Enterprise Server (AES) software package. | GroveStreams is cloud-based Data Analytics Platform for the Internet of Things that provides real-time decision making capabilities to users and devices. It has been built with Big-Data tools to manage large amounts of devices and Data Streams with very high frequency sample rates.
The GroveStreams Data Analytics Platform was designed to allow IoT entrepreneurs and developers to start with small test projects and scale to capture millions of streams of data coming in from sensors, apps, and other fixed and mobile devices across the globe. Our patented Data Analytics platform gives you immediate access to your stream data, roll-up data, and up to 140 statistics per stream. It is designed as a horizontal platform to be used across all industries. | OmniSci is the pioneer in accelerated analytics. The OmniSci platform is used in business and government to find insights in data beyond the limits of mainstream analytics tools. Harnessing the massive parallelism of modern CPU and GPU hardware, the platform is available in the cloud and On-Premise. OmniSci originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). OmniSci is funded by GV, In-Q-Tel, New Enterprise Associates (NEA), NVIDIA, Tiger Global Management, Vanedge Capital and Verizon Ventures. The company is headquartered in San Francisco. Learn more about OmniSci at www.omnisci.com. | Cognition is a Big Data and IIoT solutions firm based in Dublin and London, with pan-EU coverage. Our company was founded by three ex-strategy consultants who've worked together and developed the solution over 10 years. | 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. | Founded in 2012, Kingsoft Cloud is the leading cloud service provider in China. Since establishment, Kingsoft Cloud is devoting on providing customer safe, reliable, stable and high-quality cloud computing services. |
IoT Solutions | Accelerated Analytics Platform
Accelerated Analytics Platform
The OmniSci platform is designed to overcome the scalability and performance limitations of legacy analytics tools faced with the scale, velocity and location attributes of today’s big datasets. Those tools are collapsing, becoming too slow and too hardware-intensive to be effective in big data analytics.
OmniSciDB
Open source SQL engine
The foundation of the platform is OmniSciDB, the world’s fastest open-source, analytics database. OmniSciDB harnesses the power of GPUs and CPUs and returns SQL query results in milliseconds, even on tables with many billions of rows. OmniSciDB delivers that extreme big data analytics performance with a combination of support for native SQL, rapid query compilation, query vectorization and advanced three-tier memory management.
OmniSci Render
Server-side visual rendering
OmniSci Render is a server-side engine designed for rendering pointmap, scatterplot and polygon visualizations of massive datasets. This gives users zero-latency, exploratory interaction with complex visualizations, something never before possible. For geospatial visualization, the Vega rendering engine API allows users to visualize up to billions of points, lines, or polygons.
OmniSci Immerse
Interactive visual analytics
OmniSci Immerse is a web-based data visualization interface, leveraging the accelerated speed and rendering capabilities of OmniSciDB and OmniSci Render for unparalleled visual interaction. OmniSci Immerse is incredibly intuitive and easy to use, providing standard visualizations, such as line, bar, and pie charts, as well as complex data visualizations, such as geo-point maps, geo heat maps, choropleths, and scatter plots. Dashboards automatically cross-filter when interacting with data, and refresh with zero latency.
Data Integration
Connecting data sources to OmniSci
OmniSci open sourced the OmniSciDB SQL engine to make it easy and effortless for users and developers to accelerate analytics and Data Science workloads. OmniSciDB is available on GitHub under the Apache 2.0 license, alongside other components like a Python interface (pymapd) and JavaScript infrastructure (omnisci-connector, omnisci-charting), making OmniSci the leader in Open Source accelerated analytics. | What we do - Help organisations visualise the totality of their operational performance in real-time so they can make better decisions - Optimise a company’s assets for maximum efficiency, releasing any value that might be trapped in existing data - Identify savings or control measures, scanning the entire operation for anomalies in performance Our unique solution - We simplify the complexity of IIoT and Big Data deployments using agile techniques to prove concept and business case - A portal with a customisable, holistic view of operations, that tracks interventions to completion - Our solution is underpinned by Expert Models analytics platform and industry specific algorithms | 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. | Kingsoft Cloud have developed a comprehensive suite of cloud computing services, with solutions for many industries, such as government, finance, AIoT, healthcare, industrial engineering, media, video, game, education, Internet, content services. These solutions integrate with AI, big data, IoT, blockchain, edge computing, and AR/VR technologies. | ||
Key Customers | 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 & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & MiddlewareNetworks & ConnectivityPlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & MiddlewareFunctional ApplicationsSensors | Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & MiddlewareInfrastructure as a Service (IaaS)Platform as a Service (PaaS)Cybersecurity & Privacy |
Industries | AutomotiveFood & BeverageOil & GasPharmaceuticalsTransportationUtilities | AgricultureHealthcare & HospitalsSecurity & Public SafetyUtilities | AutomotiveOil & GasTelecommunications | AgricultureBuildingsFood & BeverageUtilities | Electrical GridsTransportation | Cities & MunicipalitiesEducationFinance & InsuranceHealthcare & HospitalsTransportation |
Use Cases | Asset Lifecycle ManagementMachine Condition MonitoringOutdoor Environmental MonitoringPredictive MaintenanceRemote Asset ManagementWater Utility Management | Building Energy Management | Building Automation & ControlBuilding Energy Management | Asset Health Management (AHM)Edge Computing & Edge IntelligenceImmersive AnalyticsRemote Asset ManagementVirtual Reality | Computer VisionEdge Computing & Edge IntelligenceFacial Recognition | |
Functions | Logistics & Transportation | Business OperationField Services | Process ManufacturingQuality Assurance | Logistics & Transportation | ||
Services | Data Science ServicesSoftware Design & Engineering Services | Data Science Services | ||||
Technology Stack | ||||||
Infrastructure as a Service (IaaS) | None | None | None | None | None | Moderate |
Platform as a Service (PaaS) | None | Moderate | Moderate | None | Strong | Minor |
Application Infrastructure & Middleware | Minor | Minor | Minor | Minor | Moderate | Moderate |
Analytics & Modeling | Minor | Minor | Moderate | Minor | Moderate | Moderate |
Functional Applications | None | None | None | Minor | None | None |
Cybersecurity & Privacy | None | None | None | None | None | Moderate |
Networks & Connectivity | None | None | Minor | None | None | None |
Processors & Edge Intelligence | None | None | None | None | None | None |
Sensors | None | None | None | Moderate | 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 | Nokia |