Loop is one consolidated platform that lets you securely connect any type of hardware, device, sensor or machine to any 3rd party software application or enterprise system in real-time with an easy-to-use interface.
Whether looking to deploy your IIoT solution on-premise or in the cloud, connect just about any device. Our list of supported devices is always growing.
Remote health monitoring without manual configuration.
OTA updates from microcontrollers to linux file system updates.
Secure, large-scale device deployment with LWM2M bootstrapping.
An alerts engine for email, SMS, webhooks & incident management.
Collect as many sensor or device parameters as needed.
Remote access to IoT devices without IT configurations.
Loop includes extensive product lifecycle management for managing complex IIoT deployments for industrial OEMs and System integrators. features driven by LWM2M and Onem2m, as well as various embedded, Linux or Windows based SDK agents.
Loop’s flexibility at working with all protocols and data formats lets you future-proof your solutions in a world of fluid or non-existent standards. Check our Device & Integration tables to find our current supported integrations.
Loop offers flexible modules designed to provide a wealth of information and insight on your IoT integrations, all through just a few simple clicks.
Loop Insights comes out of the box with Loop platform. It allows complex visualizations and analytics which are internal service provider or end user facing.
o Retrieve complex KPI results like OEE for manufacturing or derived analytics for machine learning.
o Easily combine KPIs on custom designed, multi-user dashboards. o Real-time refresh and insights to keep every business users on the same page.
o Filter down specific devices or instances of an issue
o Advance geolocation-based graphs and filters allow single and cluster device results for quick geographic analytics.
Combined Cognitive Analytics
o Combine real-time data and train various machine learning models to derive end results.
Loop includes multiple time-series databases where data is stored in secured, isolated NoSQL databases for short or long term analytics, depending on project requirements. In addition, data points are formatted into a column-based analytics database with SQL query language, enabling various machine learning, analytics and visualizations.
Restructure data formats and models on the fly by using a drag and drop interface with no need for an extra ETL tool in your IoT project. Security and ACL are implemented by default while saving 2G, 3G and 4G bandwidth with a marketplace of full standard data models. Loop Data Enricher is integral to aggregating and normalizing data coming from many disparate systems.
Legacy devices, too.
Our LoopEdge platform was designed to integrate perfectly with Loop, providing edge analytics and cloud connectivity for all of your legacy devices.