Mist Systems rolls all of today's most advanced computing capacities into a single, supple cloud service that offers unmatched indoor location capacities for any industrial or business use. Capturing the capabilities of Wi-Fi, Bluetooth and machine learning, Mist's patented WLAN technology has been winning awards and accolades since its introduction in 2016. The programming gives users the personalized experiences they are looking for while keeping administrators fully informed of every step and nuance.
Mist AI, now part of HPE through the Juniper Networks acquisition, pioneered AI-driven wireless networking and represents the foundation of the industry's first AI-native networking platform. Through the powerful Marvis AI engine and microservices cloud architecture, Mist delivers networking solutions that are predictable, reliable, and measurable while providing unprecedented visibility into user experiences from client to cloud. The platform uses artificial intelligence, machine learning, and data science to automate operations, optimize performance, and simplify troubleshooting across wireless, wired, SD-WAN, and security domains, enabling organizations to deliver superior network experiences while reducing operational costs.
Marvis Virtual Network Assistant
Marvis represents the industry's first AI-driven virtual network assistant, providing conversational interface for network operations that enables IT staff to ask natural language questions and receive actionable insights in real-time. Marvis proactively identifies network issues, performs root cause analysis automatically, and provides specific remediation steps, reducing mean time to resolution by up to 90% while enabling self-driving network operations.
Microservices Cloud Architecture
Unlike legacy controller-based systems, Mist's modern microservices architecture delivers unprecedented agility, scale, and resilience. New features deploy weekly without network disruption, services scale elastically based on demand, and system failures are isolated to prevent cascade effects. The fully programmable cloud platform with open APIs enables seamless integration with complementary solutions and custom automation workflows.
Service Level Expectations (SLE) Framework
Mist introduces the industry's first framework for measuring and maintaining specific wireless service levels including connection time, throughput, capacity, roaming performance, and coverage. Organizations define acceptable performance thresholds and Mist continuously monitors actual user experiences against these expectations, providing visibility into service quality and automatically alerting when performance degrades below defined levels.
AI-Driven Automation & Insight
The Mist AI engine ingests telemetry from access points, switches, routers, and client devices to build comprehensive understanding of network behavior and user experiences. Machine learning algorithms detect anomalies, correlate events across domains, identify trends, and provide predictive recommendations that prevent issues before they impact users. This intelligence reduces manual troubleshooting time by 85% while improving overall network reliability.
