Cloudstreet and Domos Partner on 5G Experience for Smart Homes

Finland’s Cloudstreet, the Network Slicing Company, and Norway’s Domos, Machine Learning technology provider for the smart home, recently announced that they have teamed up to create and intelligent application and context-aware network slicing solution for home networks. The solution is on display at Mobile World Congress.

The combined technologies are designed to solve two last-mile problems for mobile-enabled home networks: 1) How to build application-awareness into the network without compromising performance and compliance (i.e. DPI), and 2) How to manage and orchestrate QoS-assured slices triggered from User Equipment (UE) across serving nodes and base stations and out onto the Internet.

This combination of Dynamic RAN QoS Management & Orchestration, provided by the Cloudstreet Dynamic Profile Controller (DPC), with Domos’ home CPE installed non-DPI app-sniffing, machine learning algorithm reportedly solves these problems, delivering real-time context-optimized QoE-guaranteed connectivity.

“This is not about Network Slicing, 5G, capacity, latency or throughput. No consumers will ever know or care about those things,” said Mika Skarp, Founder and CEO, Cloudstreet. “This is about delivering digital experiences that are markedly better than they were before and consistently, reliably so. We’re thrilled to be working with Domos, a company whose CPE-centered machine learning technology so perfectly complements our own.”

“Our focus has always been machine learning technology that secures Quality-of-Experience within the home,” said Olav Nedrelid, Co-Founder and CTO, Domos. “Teaming up with Cloudstreet, we can finally secure these diverse services across mobile and fixed wireless networks for an array of services including Online Gaming, OTT streaming and Video Calls with dynamic Quality-of-Experience from End-to-End. Digital experiences in the home are notoriously unreliable. With our combined technologies, we can, for the first time offer SLA-assured, machine-informed connectivity over in-home Wi-Fi networks.”