|Supplier Slogan||Full-Stack Development Platform for the Internet of Things||Edge Intelligence for Industrial and Commercial IoT|
|HQ Location||United States||United States||United States||United Kingdom||United States||United States|
|Revenue||$10-100m||$100m-1b||$10-100m||< $10m||$10-100m||< $10m|
|Employees||11 - 50||201 - 1,000||51 - 200||51 - 200||201 - 1,000||11 - 50|
|Website||Open website||Open website||Open website||Open website||Open website||Open website|
Glassbeam is the Machine Data company. Bringing structure and meaning to data from any connected device, Glassbeam provides actionable intelligence to the Internet of Things. Glassbeam’s next generation cloud-based analytics platform is designed to organize and analyze multi-structured data, delivering powerful product and customer intelligence across the entire enterprise. Glassbeam’s platform and cloud applications are adding value to some of the biggest Fortune 500 companies across verticals such as storage, wireless, networking and medical devices. IBM, Hitachi, EMC, Aruba Networks, Meru networks, Polycom and Fusion IO use Glassbeam for analyzing machine log data. Glassbeam enables business users at these companies derive immense ROI by reducing support costs, increasing sales & service revenues, and getting critical product intelligence to build better products for the future.
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
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.
Peak offers a Decision Intelligence platform that doesn’t just deliver models, it delivers results. It is a single platform that can help you rapidly deploy multiple AI-powered solutions on a single platform. It takes you all the way from siloed data and systems, to putting AI in the hands of commercial decision makers. It is built to empower you to make superhuman decisions, all the time.
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.
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.
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.
AI is powering modern manufacturing Forward-thinking manufacturers are leveraging data with AI to drive success. What can it do for manufacturers? Peak’s pioneering approach to AI for manufacturing is focused on delivering tangible outcomes for your business. - Predict demand Improve your forecasting to predict demand with a higher degree of accuracy - Optimize inventories Reduce the amount of stock and raw materials you hold to save cash, whilst still fulfilling demand - Reduce wastage Increase efficiency by reducing unnecessary wastage and positively impacting your carbon footprint - Connect business systems Gain a unified, end-to-end view of your entire business, leveraging data from across the value chain - Enhance existing infrastructure Peak’s AI System is a “layer of intelligence” sitting over your existing systems, so there’s no need to rip and replace
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.
Enel, ENGIE, Cisco, Exelon, Endesa, Eversource, Pella, PG&E, U.S. Department of State
Accenture, Aegon, Deloitte, Havard Business School, Panasonic, Lenovo, United Airlines
|Technologies||Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)||Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)Functional ApplicationsInfrastructure as a Service (IaaS)Sensors||Analytics & ModelingInfrastructure as a Service (IaaS)||Analytics & ModelingApplication Infrastructure & MiddlewarePlatform as a Service (PaaS)||Analytics & ModelingInfrastructure as a Service (IaaS)Platform as a Service (PaaS)||Analytics & ModelingPlatform as a Service (PaaS)|
|Industries||Healthcare & Hospitals||AerospaceElectrical GridsEquipment & MachineryFinance & InsuranceHealthcare & HospitalsOil & GasRetailTelecommunicationsTransportationUtilities||AutomotiveBuildingsCities & MunicipalitiesHealthcare & HospitalsMiningOil & GasRenewable EnergyRetailTransportationUtilities||Construction & InfrastructureConsumer GoodsRetail||Finance & InsuranceHealthcare & HospitalsOil & GasRetailSecurity & Public Safety||Finance & InsuranceHealthcare & HospitalsRetail|
|Use Cases||Clinical Image Analysis||Advanced Metering Infrastructure (AMI)Building Energy ManagementEnergy Management SystemFleet ManagementFraud DetectionPredictive MaintenancePredictive Quality AnalyticsRoot Cause Analysis & Diagnosis||Edge Computing & Edge IntelligenceMachine Condition Monitoring||Process Control & Optimization||Demand Planning & ForecastingPredictive Maintenance|
|Functions||Discrete ManufacturingProcess Manufacturing||Business OperationFacility ManagementLogistics & TransportationMaintenanceProcess Manufacturing||Discrete ManufacturingProcess Manufacturing||Business OperationDiscrete ManufacturingLogistics & TransportationWarehouse & Inventory Management||Discrete ManufacturingProduct Research & Development|
|Services||Data Science Services||Data Science Services||Data Science Services||Cloud Planning, Design & Implementation Services||Data Science Services||Data Science Services|
|Infrastructure as a Service (IaaS)||None||Minor||Minor||None||Moderate||None|
|Platform as a Service (PaaS)||Minor||Strong||None||Minor||Minor||Minor|
|Application Infrastructure & Middleware||Minor||Moderate||None||Minor||None||None|
|Analytics & Modeling||Moderate||Moderate||Moderate||Moderate||Moderate||Moderate|
|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|
|Automation & Control||None||None||None||None||None||None|
|Partners||AccentureAmazon Web Services|