Digital Experience Optimization
END-TO-END INFRASTRUCTURE MONITORING THROUGH PURPOSE-BUILT AI
WIRED. WI-FI. APPLICATIONS. ENDPOINTS.
The AI-powered 7SIGNAL Platform is like having a network engineer in-a-box, helping you monitor digital experiences and resolve performance issues across your entire enterprise network.
Outside-In Wi-Fi Optimization
We Approach Wi-Fi Assurance Differently.
Optimizing enterprise Wi-Fi performance in various environments requires both a macro (RF environment) and a micro (endpoint user experience) perspective. 7SIGNAL’s Wi-Fi performance sensors, on-device agents, and EYERIS AI monitors wireless performance and experiences at the edges of your network, making enterprise Wi-Fi optimization easier than ever.
OEMs provide provide insights into your Wi-Fi infrastructure, network services, access points, and performance from the inside-out. This “one-way” approach to monitoring leaves a visibility gap when it comes to digital experiences — one that can lead to connectivity problems, which put business at risk.
Eliminate the Wi-Fi visibility gap and mitigate the business risks associated with connectivity problems with the 7SIGNAL platform.
Outside-In Network Optimization
We Approach Network Assurance Differently.
Optimizing enterprise network performance requires an "outside-in" approach—one that captures both the macro view of the RF environment and the micro view of real user experiences at the edge.
Our platform combines AI, performance sensors and endpoint agents to continuously measure network health from the outside, ensuring digital experiences are seamless and reliable—no matter where or how users connect.
Other solutions focus on the "inside-out" view of the infrastructure which creates a visibility gap which leads to hidden connectivity issues, frustrated users, and business risk.
7SIGNAL fills that gap with visibility into wired and wireless performance—across any vendor or environment.
7SIGNAL Provides Real Results at Scale
*IDC research
Keeping Industries Connected
Manufacturing
