Mist AI (Juniper Networks)

Why Businesses Choose Mist AI and CTC Technologies

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.