TechSee Unveils Connectivity Guru 3.1 for Network Visualization

TechSee, a global innovator in visual agentic AI, has officially rolled out Connectivity Guru Model 3.1, the newest enhancement to its Visual AI platform designed specifically for resolving home connectivity issues. With this update, contact center agents gain a powerful new visual intelligence layer that helps them detect Wi-Fi problems instantly, guide customers using visual context, and confirm successful fixes all without the need for field support or technician visits.

With this release, telecom providers and smart home service companies can now automate Wi-Fi signal data collection even before an agent gets involved. During IVR interactions or while speaking with a live agent, the platform scans and captures detailed connectivity insights throughout the home. It then creates a precise 3D heatmap that illustrates signal strength, router placement challenges, and potential interference. As a result, agents clearly understand the core issue and confidently assist customers toward a quick resolution often within minutes.

Eitan Cohen, CEO and Co-founder of TechSee, emphasized the urgent need for greater visibility in support interactions:

"Most contact center agents are still flying blind when it comes to Wi-Fi," said Eitan Cohen, CEO and Co-founder of TechSee. "They're dealing with invisible problems that no script, speed test or co-pilots can explain. Connectivity Guru 3.1 brings that missing layer of visibility, so agents can see what's really happening and solve it fast."

The timing of these capabilities is critical. TechSee’s 2025 Home Connectivity Survey revealed that 68% of U.S. households face recurring Wi-Fi issues, while 76% say that coverage gaps affect specific rooms such as offices and bedrooms. Even customers subscribed to whole-home Wi-Fi services 72% of them still experience issues. When problems arise, 51% attempt fixes independently, but 38% eventually call customer support. Furthermore, half of those surveyed said they would consider switching providers if issues remain unresolved.

Connectivity Guru 3.1 not only identifies problems faster but also documents proof of resolution. After the fix, the system generates a visual snapshot of the improved coverage and attaches it to the customer record. This virtual model serves as a privacy-safe reference for future support interactions, ensuring strong alignment across agents, supervisors, and field teams without storing real-world images.

Additionally, proactive service gets a major boost. With Connectivity GPT providing guidance, agents can recommend tailored upgrades like mesh nodes or extenders based on the customer’s home layout. This aligns with survey data showing that 56% of consumers are willing to buy supplemental equipment when they clearly understand why it's needed.

Remote technicians also benefit from this upgrade. They can use visual heatmaps to verify installation success and prevent unnecessary repeat dispatches. The survey found that nearly 40% of households had a technician visit in the last two years and many required repeat visits due to unresolved issues.

Cohen added:
"While co-pilots focus on optimizing low-cost metrics like call duration, Connectivity Guru 3.1 addresses the real drivers of operational cost: connectivity issues that lead to customer churn, truck rolls and product returns," said Eitan Cohen. "This release is a breakthrough. It's agent assist that can see the invisible, and ultimately resolve the biggest churn driver for telecom providers and the leading source of returns in the smart home industry."

Connectivity Guru Model 3.1 is now live. Analyze is operating within Fast Lane and Sophie Live, while Visualize will activate during deployment phases. Meanwhile, Optimize continues to evolve with structured AI guidance and enhanced resolution workflows all customized to each provider’s operational needs.