PredictiveGrid™
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About
PredictiveGrid™ is a horizontally scalable platform designed to handle time series data from a variety of sensor types in real-time. It supports various functionalities including extreme read and write performance, independently scalable compute and storage, accelerated queries, and the ability to ingest a vast amount of sensor data. The platform combines real-time and all-time analytics, machine learning, and low-code analytical app development. It is geared towards the energy sector, enabling users to utilize sensor data effectively while also supporting applications in transportation, healthcare, and smart cities. PredictiveGrid™ provides extensive APIs for data interaction and allows users to create custom dashboards easily.
Platform
Task
Features
• machine learning and ai integration
• extreme read and write performance
• low-code analytical applications
• extensive apis for all services
• custom dashboard development
• real-time and all-time analytics
• accelerated queries
• independently scalable compute and storage
FAQs
What sensors do you support?
We support virtually all types of grid sensors, including transmission and distribution synchrophasors, digital fault recorders, smart meters, and many more.
What is the largest cluster that you have deployed and tested?
We recently demonstrated the PingThings platform ingesting and processing over 130 million measurements per second.
Do you deploy cloud or on premise?
Our main focus is the cloud; however, the platform is containerized and can be deployed on-premise.
What cloud providers do you support?
The PredictiveGrid™ can be deployed in Amazon AWS, AWS GovCloud, and Microsoft Azure.
What industries do you support?
Our primary focus is the energy transition but we also support transportation, geological, healthcare, and smart city data.
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