Marvis Minis

Marvis Minis set a new standard for simplifying proactive troubleshooting and elevating user and operator experiences. They were the industry’s first always-on digital experience twins capable of proactively identifying wireless and application issues on network to accelerate resolution. Once Juniper expanded their monitoring capabilities to include wired access and SD-WAN domains, Minis’ influence only grew. Marvis Minis proactively identify issues from client to cloud, alerting administrators via new network and application SLEs, along with bubbled up Marvis Actions for rapid resolution.

Today, Marvis Large Experience Model (LEM) utilizes the generalized learning and data from Marvis Minis to evaluate performance across a broader range of scenarios. In addition, Marvis Minis now extend to data center operations, providing proactive intelligence that ensures the reliability of critical core services—such as DNS, network storage, and authentication services—from various devices and locations. Network operators can activate Minis for specific scenarios like post-maintenance validation or run them autonomously with configurable intervals to detect issues caused by network changes or failures.

Powered by the Marvis® AI engine, Marvis Minis employ ongoing unsupervised machine learning to understand network configurations and changes over time. Leveraging an ever-growing knowledge base, Marvis Minis proactively work with the Marvis AI engine to identify issues and accelerate resolution to slash networking trouble tickets by up to 90%. Best of all, Minis are integrated directly into Juniper’s network infrastructure, providing unsurpassed always-on visibility from client to cloud without the need for extra hardware or configuration, making them a natural extension—and invaluable member—of your team.

Key Features


  • Always-on for proactive validation of network and application experiences and availability 
  • Constant contextual learning with no need for manual configuration or adjustment required
  • Comes standard with a Marvis® AI Assistant (formerly known as Marvis Virtual Network Assistant) subscription—no additional hardware or software required
  • Dynamic PCAP for quick and easy troubleshooting of failures
  • Validates adds/moves/changes in seconds versus days
  • Fully integrated with the Marvis AI engine to continuously enrich existing AI models
  • Correlates and identifies which network segment is causing poor user experiences

Features + Benefits

Always on and constantly learning for best user and operator experiences

Marvis Minis are constantly learning, anticipating tomorrow’s challenges, and proactively validating your network to meet them—no additional setup or ongoing calibration required. And because Minis are always on, they continuously test the network without the need for oversight from end users or your IT team. Simply set Marvis to run Minis automatically based on pre-defined trigger events or schedule Minis to engage on demand during periods of low network usage.

Fully integrated, driving more value to your existing AI-native network

Marvis Minis client-to-cloud are fully integrated in the Marvis AI Assistant and come standard with a Marvis subscription, no extra hardware, software, or clients needed. This saves you CapEx and OpEx and provides functionality like dynamic PCAP, which is not available in overlay solutions.

Rich data insights for verification, troubleshooting, and ongoing learning

Marvis Minis continuously provide rich network data streams into the Marvis AI engine, fueling precise Marvis Actions verification for smarter, faster troubleshooting.

Move from reactive to proactive network operations

Marvis Minis transform network management with a proactive approach to problem identification and resolution. Harnessing the Marvis AI engine’s data, they deliver a bird's-eye view of dynamic network changes and network health, flag anomalies, and recommend actions for swift resolution.

634x648-hero-case-study-gap

Gap, Inc. Transforms In-Store Wi-Fi Experience with AI-Native Networking

Doris and Don Fisher opened the first Gap store in 1969 with a simple idea—to make it easier to find a pair of jeans and a commitment to do more. Over the last 50+ years, the company has grown from a single store to a global fashion business.

While Gap, Inc. transformed its business, technology transformed the way shoppers interact with their favorite brands. A multichannel experience is the new normal, and e-commerce sales continue to grow rapidly in comparison to in-store sales. Consumers don’t want to simply shop for products, they want to seek out a more engaging experience. To give customers and retail associates the best experience with in-store Wi-Fi, Gap, Inc. found AI-native networking to be a perfect fit.

Marvis Minis FAQs

What is Juniper’s Marvis AI Assistant?

Marvis AI Assistant uses the Marvis AI engine, to transform how IT teams interact with enterprise networks. With natural language processing (NLP), a conversational assistant, prescriptive actions, Self-Driving Network™ operations, and integrated helpdesk functions, the assistant streamlines operations and optimizes experiences from client to cloud across wireless access, wired access, SD-WAN, and data center domains. It is core to Mist™, Juniper’s AI-native networking platform.

What are Marvis Minis?

Marvis Minis are digital experience twins supercharged by AI. They learn network configurations via unsupervised machine learning and simulate user connections to proactively identify network and application issues. Leveraging the Mist platform, Marvis Minis instantly validate network configurations and find/detect problems before they can negatively impact end user experiences.

How do you access Marvis Minis?

Marvis Minis are available at no extra charge with a Marvis AI Assistant subscription. They work in conjunction with existing Juniper products today. No additional hardware or software is required. 

What do Marvis Minis mean for me?

  • Wireless management transformation: Leave behind “black hole” configuration changes and reactive processes
  • Exceptional user experiences: Proactively learn what’s wrong with the network and fix it before it impacts users or applications
  • High value at a low investment cost: Spend less time and money chasing issues with a self-configuring, auto-learning assistant