Competitive Audit
How NEXUS-RF outclasses the field
Capability-by-capability audit against the leading wireless platforms — and the unmatched advanced tools we ship next.
NEXUS-RF
95%
63 / 66
Cisco DNA
17%
11 / 66
Juniper Mist
29%
19 / 66
Aruba Central
15%
10 / 66
Meraki
11%
7 / 66
Ekahau
11%
7 / 66
Hamina
14%
9 / 66
Capability matrix
22 capabilities · 7 platforms
Lead Full Partial
| Capability | NEXUS-RF | Cisco DNA | Juniper Mist | Aruba Central | Meraki | Ekahau | Hamina |
|---|---|---|---|---|---|---|---|
AI Design GenAI design from prompt | Lead | · | · | · | · | ||
Ray-traced 3D digital twin | Lead | · | · | · | · | ||
Auto AP placement | · | ||||||
What-if scenario sim | Lead | · | · | ||||
Operations Self-healing remediation | Lead | · | · | ||||
GitOps / config-as-code | Lead | · | · | · | · | · | · |
Auto-RCA → fix-PR | Lead | · | · | · | · | · | |
ChatOps native | Lead | · | · | · | · | ||
Experience Per-client journey replay | Lead | · | · | · | · | · | |
App-aware QoE scoring | · | · | |||||
Predictive churn detection | Lead | · | · | · | · | · | · |
Security MITRE ATT&CK for wireless | Lead | · | · | · | · | · | |
Rogue AP forensics + replay | Lead | · | · | ||||
Micro-segmentation graph | · | · | |||||
Platform Multi-vendor abstraction | Lead | · | · | · | · | ||
Edge AI inference (sub-50ms) | Lead | · | · | · | · | · | |
GenAI Native Agentic ops planner with tool-use | Lead | · | · | · | · | · | |
English → vendor-agnostic config | Lead | · | · | · | · | · | · |
RF time-machine with counterfactuals | Lead | · | · | · | · | · | · |
Autonomous SLO healing (closed-loop) | Lead | · | · | · | |||
Non-WiFi spectrum AI classifier | Lead | · | · | · | |||
Identity↔device↔flow live graph | Lead | · | · |
New advanced tools shipping in NEXUS-RF
Digital RF Twin
Ray-traced 3D propagation, what-if sliders, GenAI design-from-prompt
Open →
Threat Hunter
Rogue forensics, MITRE ATT&CK for wireless, posture timeline
Open →
Journey Replay
Per-client replay, app-aware QoE, predictive churn
Open →
NetGitOps + ChatOps
Config-as-code, blast-radius sim, auto-RCA → fix-PR
Open →
Copilot Ops Console
Agentic GenAI planner — decompose, call tools, observe, act, with full reasoning trace
Open →
Intent Compiler
English → vendor-agnostic diff with blast radius, dry-run, AI rollback
Open →
RF Time Machine
Scrub 24h of RF state with AI narration and counterfactual what-ifs
Open →
Autonomous SLO Healer
Per-site SLOs with ranked AI hypotheses and one-click closed-loop healing
Open →
Spectrum Forensics
AI classifier for non-WiFi interferers (microwave, BLE, radar, ZigBee) with mitigations
Open →
Identity Graph
Live identity↔device↔flow graph with AI-suggested micro-segmentation
Open →
Edge-first AI
Sub-50ms inference on AP for instant client-experience decisions — no controller round-trip
Full observability
Per-packet, per-client, per-app — replayable timelines like Datadog APM, but for RF
Vendor-agnostic
One control plane across Cisco, Aruba, Mist, Ruckus, Meraki, Ubiquiti, Huawei