Ten Years of Wyebot
Wyebot turns 10 this month.
Founded in January 2016, the company has grown into a global team, supporting customers across enterprise, healthcare, manufacturing, higher education, and K-12 environments where Wi-Fi performance directly affects daily operations.
Anyone who has managed wireless at scale recognizes the pattern. The controller reports green. Users still struggle. The issue lives somewhere between RF conditions, client behavior, application performance, and what was happening at the exact moment the problem occurred.
Wyebot exists to close that gap.
Client-side visibility and automation from day one
Wyebot was designed to observe the network from the user’s point of view and turn that visibility into actionable information for IT teams. The Wireless Intelligence Platform (WIP) analyzes Wi-Fi and wired performance using continuous testing, historical data, and an AI engine that surfaces issues and recommended actions.
This approach reflects how real networks operate:
- Sites are distributed and difficult to staff consistently
- Issues appear intermittently and are hard to reproduce
- Telemetry alone rarely explains root cause
Wyebot replaces guesswork with repeatable tests and historical context, allowing teams to diagnose problems remotely and resolve them faster.
From founders to a global team
Wyebot was co-founded by Roger Sand and Anil Gupta, who continue to serve as CEO and CTO. Over the past decade, the company has expanded into a full organization spanning engineering, customer operations, partnerships, and go-to-market functions.
Today, Wyebot supports production networks across multiple industries and geographies, with a team built to support ongoing customer operations at scale.
Milestones that shaped how Wyebot operates
Several moments in the company’s history changed how Wyebot builds, scales, and supports the platform.
Series A: scaling to meet demand
In May 2022, Wyebot raised an $8M Series A led by Stage 1 Ventures. The funding supported platform expansion and growing demand across distributed enterprise, education, healthcare, manufacturing, and warehousing environments, where Wi-Fi had become operational infrastructure and manual troubleshooting no longer scaled.
Integrations aligned with real workflows
In 2024, Wyebot announced an integration with Cisco Catalyst Center, bringing client-side visibility into an operational workflow already used by many enterprise network teams.
Wyebot also expanded its work with Intel Connectivity Analytics, leading to the launch of the Wyebot DEX Agent. This extended visibility to mobile and remote users, where client behavior and application performance are often the hardest to diagnose.
These integrations reflect a consistent direction: reduce tool sprawl, shorten time to root cause, and connect detection directly to action.
One platform across multiple environments
Wyebot serves both enterprise and education customers because Wi-Fi performance creates the same operational pressure in each. When connectivity degrades, productivity drops or learning stalls, and support teams shift into reactive mode.
In enterprise environments, Wyebot supports distributed sites with remote diagnostics and faster root-cause identification, reducing the need for constant travel. In education, districts deploy Wyebot sensors across campuses to gain visibility alongside existing infrastructure and validate performance changes.
Practicality over theory
Wyebot’s product direction has remained consistent over the past decade:
- Vendor-agnostic, simple deployment without forcing infrastructure replacement
- Continuous testing with historical context, not snapshots
- Automation focused on reducing tickets and resolution time
This reflects the reality most teams face. Deep Wi-Fi expertise is scarce. Environments are increasingly complex. Tools need to simplify operations, not add overhead.
Ten years in, with more ahead
After a decade in the market, Wyebot is a proven platform running in production networks, supporting real users, and integrating into established enterprise workflows.
The environment ahead is more demanding than the one Wyebot entered in 2016: more devices, more critical applications, more distributed work, and less tolerance for slow diagnosis.
That pressure reinforces the problem Wyebot was built to solve.
To the customers, partners, and teammates who shaped the first ten years: thank you for pushing the platform and the expectations higher.
Happy 10th birthday, Wyebot!