Overview | ||||||
| Supplier Slogan | Edge Intelligence for Industrial and Commercial IoT | |||||
| HQ Location | United Kingdom | United States | United States | United Kingdom | United States | India |
| Year Founded | 2015 | 2014 | 2012 | 2000 | 2018 | 2014 |
| Company Type | Private | Private | Private | Private | Private | Private |
| Stock Ticker | ||||||
| Revenue | < $10m | $10-100m | $10-100m | $10-100m | < $10m | < $10m |
| Employees | 11 - 50 | 51 - 200 | 201 - 1,000 | 201 - 1,000 | 11 - 50 | 51 - 200 |
| Website | Open website | Open website | Open website | Open website | Open website | Open website |
| Company Description | By training AI models at the edge where the data is generated, one can train on the entire data generated, without compressing, or sampling the data in order to make it easily transferable to the cloud/server, and without the need to anonymise it for privacy reasons. This ability to decentralise the training process, and by doing so, allowing to train on entire datasets, will bring forth a potential new level of accuracy to the world of AI. These new obtainable accuracies can generate both high financial rewards in some verticals (retail, intelligent homes, manufacturing), and life-saving solutions in others (autonomous cars, medical). | 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. | DataRobot offers a Machine Learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, H2O and other open-source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations, and tuning parameters to deliver the best models for your dataset and prediction target. The DataRobot platform evaluates hundreds of cutting-edge Machine Learning algorithms to discover, deploy, and customize the best Machine Learning models for every situation. It also delivers the most accurate insights at scale, providing the fastest path to Data Science success for organizations of all sizes. DataRobot was founded in June 2012 and is headquartered in Boston, Massachusetts, USA. | Qulix Systems is a global IT & Consulting company providing solution-oriented approach and custom software development to its clients across multiple business domains.
| DotData delivers an end-to-end Data Science automation for the enterprise. Its Data Science automation platform speeds time to value by accelerating, democratizing, and operationalizing the entire Data Science process through automation. Founded in 2018, dotData is a spin off of NEC Corporation, and is led by Dr. Ryohei Fujimaki, a data scientist, and the youngest research fellow ever appointed in the 119-year history of NEC. | Technostacks, reputed IT Company in India, has successfully carved its niche within a few years of its inception. The company is engaged actively in providing end-to-end IT solutions to cater to the demands of a diverse clientele across the world. With its strong team of professionals having in-depth knowledge of the latest technologies and tools as well as an excellent state-of-the-art infrastructure, Technostacks has proved its excellence in developing and designing technology driven solutions that add more power to businesses at the most competitive rates. The company has its focus firmly on delivering desirable solutions within a quick turnaround and ensuring the highest level of client satisfaction. Apart from its office in Ahmedabad in Gujarat, the company also has its branch office in the United States of America. |
| IoT Solutions | A fundamental shift in AI Training.
A Distributed yet Collaborative Framework for training DL and ML at the Edge.
We allow any company, from any industry, to train complete DL and ML models, directly on their own edge devices. Reaching close to perfect accuracy, without the need to transfer any of the data to the cloud. | Automated Machine Learning
Automate the creation of advanced Machine Learning models that incorporate our world-class Data Science expertise.
Automated Time Series
Automate the development of sophisticated time series models that predict the future values of a data series based on its history and trend. Organizations of all sizes will improve forecasts for sales volume, product demand by SKU, staffing, inventory, and a host of financial applications.
MLOps
Delivering the capabilities that Data Science and IT Ops teams need to work together to deploy, monitor, and manage Machine Learning models in production. |
| dotData frees your business to focus on the results of your AI and Machine Learning applications, not the headaches of the Data Science process by automating the full Data Science life-cycle.
Data Scientists
Accelerate Data Science projects from months to days with Feature Engineering Automation.
BA & BI Professionals
Empower BI and business analysts to execute AI & ML projects.
IT Professionals
Deploy full-cycle AI & ML pipeline in minutes, update in real-time with Continuous Deployment.
Executives & LOB
Discover the "unknown unknowns" of your business automatically with Data Science Automation. | Technostacks specialises in designing scalable SaaS and IoT based solutions for startups and enterprises. Their developers created an IoT remote monitoring functionality wherein, users can set temperature for MiteNote board directly from the app. | |
| Key Customers | Accenture, Aegon, Deloitte, Havard Business School, Panasonic, Lenovo, United Airlines | |||||
| Subsidiary | ||||||
| Parent Company | ||||||
IoT Snapshot | ||||||
| Technologies | Analytics & Modeling | Analytics & ModelingInfrastructure as a Service (IaaS) | Analytics & ModelingInfrastructure as a Service (IaaS)Platform as a Service (PaaS) | Analytics & Modeling | Analytics & ModelingPlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & Middleware |
| Industries | Retail | AutomotiveBuildingsCities & MunicipalitiesHealthcare & HospitalsMiningOil & GasRenewable EnergyRetailTransportationUtilities | Finance & InsuranceHealthcare & HospitalsOil & GasRetailSecurity & Public Safety | Finance & InsuranceHealthcare & HospitalsRetailTelecommunicationsUtilities | Finance & InsuranceHealthcare & HospitalsRetail | Healthcare & HospitalsEducationRetail |
| Use Cases | Retail Store Automation | Edge Computing & Edge IntelligenceMachine Condition Monitoring | Demand Planning & ForecastingPredictive Maintenance | Predictive MaintenanceVehicle Telematics | Augmented RealityRemote Patient MonitoringWater Utility Management | |
| Functions | Discrete ManufacturingProcess Manufacturing | Discrete ManufacturingProduct Research & Development | Quality Assurance | Logistics & Transportation | ||
| Services | Data Science Services | Data Science Services | Data Science Services | Software Design & Engineering Services | Data Science Services | Hardware Design & Engineering Services |
Technology Stack | ||||||
| Infrastructure as a Service (IaaS) | None | Minor | Moderate | None | None | None |
| Platform as a Service (PaaS) | None | None | Minor | None | Minor | None |
| Application Infrastructure & Middleware | None | None | None | None | None | Minor |
| Analytics & Modeling | Minor | Moderate | Moderate | Moderate | Moderate | Minor |
| 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 | None | 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 |
Overview | ||||||
| Supplier Slogan | Edge Intelligence for Industrial and Commercial IoT | |||||
| HQ Location | United Kingdom | United States | United States | United Kingdom | United States | India |
| Year Founded | 2015 | 2014 | 2012 | 2000 | 2018 | 2014 |
| Company Type | Private | Private | Private | Private | Private | Private |
| Stock Ticker | ||||||
| Revenue | < $10m | $10-100m | $10-100m | $10-100m | < $10m | < $10m |
| Employees | 11 - 50 | 51 - 200 | 201 - 1,000 | 201 - 1,000 | 11 - 50 | 51 - 200 |
| Website | Open website | Open website | Open website | Open website | Open website | Open website |
| Company Description | By training AI models at the edge where the data is generated, one can train on the entire data generated, without compressing, or sampling the data in order to make it easily transferable to the cloud/server, and without the need to anonymise it for privacy reasons. This ability to decentralise the training process, and by doing so, allowing to train on entire datasets, will bring forth a potential new level of accuracy to the world of AI. These new obtainable accuracies can generate both high financial rewards in some verticals (retail, intelligent homes, manufacturing), and life-saving solutions in others (autonomous cars, medical). | 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. | DataRobot offers a Machine Learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, H2O and other open-source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations, and tuning parameters to deliver the best models for your dataset and prediction target. The DataRobot platform evaluates hundreds of cutting-edge Machine Learning algorithms to discover, deploy, and customize the best Machine Learning models for every situation. It also delivers the most accurate insights at scale, providing the fastest path to Data Science success for organizations of all sizes. DataRobot was founded in June 2012 and is headquartered in Boston, Massachusetts, USA. | Qulix Systems is a global IT & Consulting company providing solution-oriented approach and custom software development to its clients across multiple business domains.
| DotData delivers an end-to-end Data Science automation for the enterprise. Its Data Science automation platform speeds time to value by accelerating, democratizing, and operationalizing the entire Data Science process through automation. Founded in 2018, dotData is a spin off of NEC Corporation, and is led by Dr. Ryohei Fujimaki, a data scientist, and the youngest research fellow ever appointed in the 119-year history of NEC. | Technostacks, reputed IT Company in India, has successfully carved its niche within a few years of its inception. The company is engaged actively in providing end-to-end IT solutions to cater to the demands of a diverse clientele across the world. With its strong team of professionals having in-depth knowledge of the latest technologies and tools as well as an excellent state-of-the-art infrastructure, Technostacks has proved its excellence in developing and designing technology driven solutions that add more power to businesses at the most competitive rates. The company has its focus firmly on delivering desirable solutions within a quick turnaround and ensuring the highest level of client satisfaction. Apart from its office in Ahmedabad in Gujarat, the company also has its branch office in the United States of America. |
| IoT Solutions | A fundamental shift in AI Training.
A Distributed yet Collaborative Framework for training DL and ML at the Edge.
We allow any company, from any industry, to train complete DL and ML models, directly on their own edge devices. Reaching close to perfect accuracy, without the need to transfer any of the data to the cloud. | Automated Machine Learning
Automate the creation of advanced Machine Learning models that incorporate our world-class Data Science expertise.
Automated Time Series
Automate the development of sophisticated time series models that predict the future values of a data series based on its history and trend. Organizations of all sizes will improve forecasts for sales volume, product demand by SKU, staffing, inventory, and a host of financial applications.
MLOps
Delivering the capabilities that Data Science and IT Ops teams need to work together to deploy, monitor, and manage Machine Learning models in production. |
| dotData frees your business to focus on the results of your AI and Machine Learning applications, not the headaches of the Data Science process by automating the full Data Science life-cycle.
Data Scientists
Accelerate Data Science projects from months to days with Feature Engineering Automation.
BA & BI Professionals
Empower BI and business analysts to execute AI & ML projects.
IT Professionals
Deploy full-cycle AI & ML pipeline in minutes, update in real-time with Continuous Deployment.
Executives & LOB
Discover the "unknown unknowns" of your business automatically with Data Science Automation. | Technostacks specialises in designing scalable SaaS and IoT based solutions for startups and enterprises. Their developers created an IoT remote monitoring functionality wherein, users can set temperature for MiteNote board directly from the app. | |
| Key Customers | Accenture, Aegon, Deloitte, Havard Business School, Panasonic, Lenovo, United Airlines | |||||
| Subsidiary | ||||||
| Parent Company | ||||||
IoT Snapshot | ||||||
| Technologies | Analytics & Modeling | Analytics & ModelingInfrastructure as a Service (IaaS) | Analytics & ModelingInfrastructure as a Service (IaaS)Platform as a Service (PaaS) | Analytics & Modeling | Analytics & ModelingPlatform as a Service (PaaS) | Analytics & ModelingApplication Infrastructure & Middleware |
| Industries | Retail | AutomotiveBuildingsCities & MunicipalitiesHealthcare & HospitalsMiningOil & GasRenewable EnergyRetailTransportationUtilities | Finance & InsuranceHealthcare & HospitalsOil & GasRetailSecurity & Public Safety | Finance & InsuranceHealthcare & HospitalsRetailTelecommunicationsUtilities | Finance & InsuranceHealthcare & HospitalsRetail | Healthcare & HospitalsEducationRetail |
| Use Cases | Retail Store Automation | Edge Computing & Edge IntelligenceMachine Condition Monitoring | Demand Planning & ForecastingPredictive Maintenance | Predictive MaintenanceVehicle Telematics | Augmented RealityRemote Patient MonitoringWater Utility Management | |
| Functions | Discrete ManufacturingProcess Manufacturing | Discrete ManufacturingProduct Research & Development | Quality Assurance | Logistics & Transportation | ||
| Services | Data Science Services | Data Science Services | Data Science Services | Software Design & Engineering Services | Data Science Services | Hardware Design & Engineering Services |
Technology Stack | ||||||
| Infrastructure as a Service (IaaS) | None | Minor | Moderate | None | None | None |
| Platform as a Service (PaaS) | None | None | Minor | None | Minor | None |
| Application Infrastructure & Middleware | None | None | None | None | None | Minor |
| Analytics & Modeling | Minor | Moderate | Moderate | Moderate | Moderate | Minor |
| 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 | None | 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 |