Nyansa Lights Up Network User Performance Blind Spots 
with Two New Last Hop Analytics Applications

Voyance WAN and Voyance Client Agent Extend Insight into Last Hop User Performance 
Issue to Deliver Insight for Improved Performance, Productivity, Profitability

Nyansa, Inc. (“knee-ans-sah”), a fast-growing innovator of a new generation of user performance management technology, unveiled two new applications that bring visibility and insight to problematic blind spots on the end points of the user access network – the client Wi-Fi connection and the broadband WAN. The new solutions include Voyance WAN and the Voyance Client Agent.

Detailed WAN and client data is now integrated into the Nyansa’s popular Voyance platform as new data sources. These data sources are uniquely analyzed and correlated with all other client transactions to deliver extraordinary insight into the user experience not found in any other system.

Nyansa now becomes the only company to use real client, network, application and WAN data for end-to-end correlation and root cause analysis of user performance across every aspect of a client connection.

From the moment a device/user connects to the Wi-Fi network, traversing access networks to accessing applications across WAN links, Voyance provides customers with a comprehensive real-time and historical view of the entire user experience on the network.

“These are very important problems that enterprises have struggled to address in any unified fashion,” said Zeus Kerravala, principal analyst at ZK Research. “The real value here is the data analysis and correlation. Anyone can collect this data from a myriad of sources, but Nyansa has gone much further by taking a holistic approach to integrating WAN and client-side analytics with the rest of the network. That’s never been achieved before in any meaningful manner.” concluded Kerravala.


As businesses adopt more cloud-based applications, enterprise users are accessing those applications over the existing enterprise WAN topology. WAN traffic is now shared with non-essential applications like YouTube, Facebook, etc. This has a significant impact on the user experience of business-application users and also represents a potentially inefficient use of expensive private bandwidth.

WAN traffic is “bursty,” due to sudden increases in traffic volume from new devices and media-rich cloud applications. These bursts have widespread effects on the end user network experience and ultimately user performance and productivity. Identifying the root cause of link congestion is critical to avoiding user performance problems.

A discrete new application within the Voyance platform, Voyance WAN incorporates flow data directly from the routers to address these challenges. WAN data is analyzed and correlated with the other data sources, such as client, network service and application performance, within Voyance. This now gives IT teams unprecedented end-to-end insight into the entire user experience, from a client accessing the WLAN, traversing the access network and the WAN to accessing essential applications.

And because Voyance WAN leverages data flows from WAN router interfaces, customers now have more flexible deployment options, eliminating the need to install on premise data collectors, called Voyance crawlers, at every site.

Voyance WAN currently integrates NetFlow and cFlow data with future support for jFlow and sFlow protocols. Minute by minute, the Voyance WAN application constantly analyzes any instance of high WAN utilization on any link to determine what users and apps are the cause of poor WAN performance. Companies can now compare sites by high link utilization minutes, see repeat top culprits by site or WAN interface, and compare by peak app utilization traffic with related costs.

Unlike conventional WAN monitoring solutions that simply provide normal aggregate application usage, Voyance WAN identifies the percent of service provider bandwidth taken up at times of peak WAN link utilization.

When user performance problems occur, Voyance automatically pinpoints whether the root cause is related to an application, Wi-Fi, a network service, broadband congestion, or the client itself. Currently Voyance is the only solution to provide such a breadth of analytics within a massively scalable public service or private cloud platform.

Nyansa’s Voyance WAN also employs a first-of-its-kind cloud sourced AppID engine. Using machine learning technology, the AppID engine identifies applications by automatically mapping routing data to actual applications. This dynamic database is then shared within the Voyance platform so all customers benefit.


To proactively address last hop Wi-Fi connectivity issues experienced by problematic clients, Nyansa’s Voyance client agent provides a 360 degree view of the user experience over Wi-Fi networks without the expense of hardware sensors or the need for manual diagnostic tools.

Secure, configurable and deployed in minutes, the Voyance client agent works seamlessly with popular systems and device management platforms. The Voyance client agent collects system information as well as Wi-Fi stats based on what the client is seeing. IT teams can actively perform synthetic tests against default or configurable targets to measure a variety of metrics such as throughput, latency, packet loss and jitter.

Client data is fed seamlessly into the Voyance platform, where it joins the other data sources such as Wi-Fi metrics, protocol and app metrics from examining live packet data and syslog messages from network services, Analysis of client data surfaces insights and allows for faster device problem identification, performance comparisons, most affected clients, locations as well as proactive remediation recommendations.

Now, network managers can quickly compare the user experience for remote users versus on-site users with client devices using the same Wi-Fi drivers or easily determine why clients are making poor roaming decisions or staying sticky to a given Wi-Fi access point.

IT staff also gain direct access to a wide range of client information such as Wi-Fi driver, CPU and memory statistics, battery status, SSID scan data, RSSI levels, channel use and more.

The Voyance client agent is currently available for Apple Mac OS X devices with support for Windows and Android platforms in the future.


Available immediately, the Voyance WAN module and Voyance Client Agent pricing is based on an annual license subscription.

The Voyance WAN application module is priced on WAN link capacity for a given site with tiered pricing for a range of WLAN links from 1-100 Gbps. Pricing for a 1Gbps link starts at $13,500 per year. Multi-year discounts apply.

Pricing for Voyance Client Agents is based on bundled licensed packages varying from 100 to 50,000 agents. Per agent pricing ranges from $4 to $50 per year relative to the number of agents installed. Existing Voyance customers receive up to10 client agents at no cost.

Nyansa is a fast-growing, Silicon Valley based innovator of advanced IT analytics software technology. Venture-backed by Intel Capital and Formation |8, the company was founded in September 2013. Nyansa is credited with developing the first full-stack, vendor-agnostic, cloud-based user performance management platform called Voyance. With it, organizations are able to automate the end-to-end analysis and correlation or critical infrastructure data to improve the productivity, performance and security of critical devices on the wired/wireless network.

The world’s largest and only public SaaS IT analytics service available today, Voyance currently analyzes user network traffic from over 20 million client devices across thousands of customer sites at companies including Tesla, Uber, Lululemon, Home Depot, MuleSoft, SF International Airport, Stanford, Northeast Georgia Healthcare System and many others.

Purpose-built for quantifying the user experience within increasingly mobile enterprise network environments. Voyance is the only analytics system that analyzes every wired and wireless client network transaction in real time and over time. With Voyance, organizations can now proactively predict client problems, optimize their network and justify infrastructure changes based on actual user, network and application data. This serves to improve user productivity while radically reducing the time and expense related to optimizing IT network operations from the client to the cloud.


Media Contact
David Callisch
Nyansa, Inc.
+1 (408) 504-5487