Kudzu Canopy NOC is a hosted network operations platform for LoRaWAN operators. It ingests raw network traffic and infrastructure state, computes operational KPIs, detects conditions that require attention, and guides you from evidence to action. Whether you manage a city-scale deployment or a single-building pilot, Canopy NOC provides the continuous visibility you need to keep your network healthy.
LoRaWAN operators accumulate large volumes of low-level evidence — gateway traffic, device activity, RSSI/SNR measurements, deployment files, customer notes, incident history — but converting that evidence into timely decisions is difficult at scale. Manual inspection does not keep pace with the data, and siloed tools make it hard to correlate infrastructure state with service quality.
Canopy NOC solves this by creating a continuous operational loop that automates the path from raw data to prioritized action:
The more complete the input data, the more useful the platform becomes. A direct LNS integration that receives uplinks, downlinks, and gateway statistics provides the highest-quality operational view.
| Role | How they use Canopy NOC |
|---|---|
| NOC operators | Monitor network stability, track active alarms, identify silent devices and gateways, and respond to problems that need immediate attention. |
| RF and deployment engineers | Compare intended coverage against observed behavior using the map, deployment, and metric layers. Inspect weak areas and plan gateway placement changes. |
| Network managers | Use the Action Center, reports, dashboards, and notification summaries to understand trends, prioritize work, and communicate status. |
| Administrators | Manage users, organizations, roles, integrations, analysis algorithms, alarm definitions, frequency plans, and subscription settings. |
| Area | Purpose |
|---|---|
| Action Center | First screen after login. Shows network health status, device/gateway/alarm overview tiles, and AI-generated optimization suggestions. |
| Network Map | Spatial view of gateways, devices, RF-quality overlays, deployment layers, and analysis references. |
| Monitoring | Metrics Dashboard for KPIs, Alarms for threshold state, and Reports for generated summaries. |
| Investigation Views | Widget-based diagnostic dashboards for ad-hoc data exploration — uplink analysis, infrastructure stress, geo-positioned analysis, and more. |
| Operations | Deployment snapshots, coverage simulations, planning sessions, and field-work tracking. |
| Configuration | Network settings, gateway and device inventory, LNS/HTTP/API integrations, monitoring KPIs, zones, and frequency plans. |
| AI Insights | AI-generated network insight problems, proposed solutions, agent sessions, and the Nomi chatbot assistant. |
| Notifications | Per-user inbox, email delivery, Discord delivery, and configurable notification preferences. |
| Administration | Users, organizations, RBAC roles, resource permissions, billing, and platform-level settings. |
The platform stores low-level network evidence and derives higher-level operational artifacts from it through a layered pipeline:
The same evidence can surface in multiple places. A device may appear in inventory, on a map, inside a KPI reference list, in an alarm, inside an AI insight, and in a report. Typed entity references keep those experiences connected.