GNV@AI review
Telemetry-driven network troubleshooting with packet analysis and flexible model deployment.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
GNV@AI is an AI-assisted network monitoring and troubleshooting product built on GNV telemetry. It is intended for mid-market and enterprise network teams that need to investigate live network behavior, inspect packet captures, and produce root-cause reports. Natural-language questions provide a way to navigate telemetry, KPI, and topology information; the product also has agents for packet decoding, performance analysis, and troubleshooting. Its scope is suited to teams working across hosts, IP pairs, applications, and links rather than those seeking a narrow packet viewer.
The investigation workflow brings several network analysis tasks together. GNV@AI provides real-time monitoring with predefined KPIs, automatic topology discovery, and baseline and threshold alarming. For packet work, it offers full packet capture and decoding, with PCAP analysis covering TCP window sizing, congestion, and anomalies. Performance analysis and root-cause reports extend that view to hosts, links, and applications. This breadth could suit teams that want telemetry context alongside packet-level investigation; organizations looking only for a focused packet capture utility may find the product's wider monitoring approach unnecessary.
Deployment and evaluation are important considerations. The product supports hosted language models, self-hosted open-source models, or an organization's own compatible model, and the vendor describes on-premises operation for closed or regulated networks. That flexibility is relevant where model placement matters, while the product still depends on GNV telemetry. Glean Co. invites prospective customers to request a demo and scope an evaluation or proof of concept, and pricing is handled through sales. Teams prepared to assess a telemetry-centered platform with the vendor may find it worth evaluating; buyers who need transparent self-service pricing or a tool independent of GNV telemetry should look elsewhere.
GNV@AI pros and cons
- Where it wins
- Ask natural-language questions over live telemetry and KPI data
- Combines topology discovery, packet decoding, and performance analysis
- Supports hosted, self-hosted, or customer-provided language models
- Where it doesn't
- Requires GNV telemetry as its foundation
- Pricing is available through sales rather than public plans
- Evaluations require scoping a demo or proof of concept with the vendor
GNV@AI fact sheet, pricing and score →
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