Predixion Software debuts RIOT, its IoT analytics offering to operate at edge of the network

Predixion Software released this week its real-time visual edge analytics software RIOT that hs been designed to work with the latest Intel IoT Gateway Technology featuring Wind River Intelligent Device Platform XT 3.1.

Predixion’s RIOT software solves the challenge increasingly visible in Internet of Things (IoT) installations – where large volumes of data never get used due to the high-cost and latency in using central, cloud-based analytics. This challenge will only increase as more devices are connected.

Predixion RIOT has been built from the ground up with a new architecture that enables users to gain real-time insights on IoT data when and where it is most impactful – whether on the device itself running an RToS, on the IoT gateway based on Intel IoT Gateway Technology, or with a consolidated cloud-based view of all devices in an organization.

The Predixion RIOT line addresses the needs at all layers for IoT analytics. With intelligence at the edge enabled by Intel IoT Gateway Technology, the combined solution helps businesses achieve near real-time analysis and tighter, more efficient process controls, while reducing data transmission and storage costs.

Gartner predicted that 6.4 billion connected things will be in use worldwide in 2016, up 30 percent from 2015, and will reach 20.8 billion by 2020. In 2016, 5.5 million new things will get connected every day. According to Roy Schulte and Rita Sallam at Gartner, “Analytics are essential to the success of IoT systems. They are arguably the main point of the IoT as they support the decision-making process in operations that are created in business transformation and digital business programs. ”

The volume and velocity of data generated from the IoT will mandate the need for new architectures and drive the demand for applying analytics closer to the edge.

Predixion RIOT is a visual edge analytics software that operates at the edge of the network, delivering capabilities out of the box, organizations can dynamically deploy advanced analytics on-device, on-gateway, or in-the-cloud. RIOT supports connected, partially-connected and disconnected environments so decisions can be made in real-time without reliance on network connectivity, and allows organizations to conduct predictive maintenance and predictive operations management, with workflows triggered by the output of the analytics.

Predixion RIOT Nano is a complete, self-contained, small foot-print real-time visual analytics engine which runs on a single device and provides immediate visual analytics and insights from device sensors. RIOT Nano provides on-device visual analytics or stream analytics to the gateway or cloud so a user can easily have visual insights from all connected devices.

Predixion RIOT One is a complete, self-contained real-time visual analytics platform which runs on the gateway, connects to thousands of devices and provides “instant-on” visual analytics with minimal configuration and setup. RIOT One provides user-driven visual analytics so a business user can gain instant insights into device operations, health and performance of the device, and easily apply new analytics to gain immediate insight for rapid decisions and actions.

RIOT One runs at the edge, which is closer to the data, and can provide visual analytics directly from the gateway without requiring any cloud presence, thus providing quicker insight, and radically reducing the configuration and processing complexity compared to using a cloud-only analytics approach.

Predixion RIOT Enterprise is a cloud-based edge analytics platform and provides aggregated real-time visual analytics across all connected devices. Real-time analytics are streamed from gateways and devices to RIOT Enterprise in the cloud to provide a centralized view of the performance and insight of all connected devices.


IoT Innovator Newsletter

Get the latest updates and industry news in your inbox! Enter your email address and name below to be the first to know.

Name