Vendor sprawl
Nokia, Cisco, Juniper, and Arista each bring their own CLI, NETCONF dialect, and tooling. Engineers context-switch all day.
Autonomic Network Engine (ANE)
Agentic AI for self-healing, multi-vendor networks
ANE reads alerts in context, validates them against live network state, and recommends explainable actions — so operators resolve incidents faster and with greater confidence across Nokia, Cisco, Juniper, and Arista.
Supported across
- Nokia SR OS
- Cisco XRd
- Juniper
- Arista
The problem
Multi-vendor network operations are painful
And the pressure is increasing, not easing.
Alert storms
A single backbone interface drop can fire 40 alerts across the NMS. Teams triage symptoms while the real root cause stays buried.
Stale incidents
By the time a human responds, the network has often already self-healed. Acting on a stale alert can cause the outage it was meant to prevent.
Tribal knowledge
Senior engineers carry the playbooks in their heads. When they leave, the reasoning leaves with them.
The approach
Rule-based automation is not the answer
“If BGP_DOWN --> heal_BGP” makes outages worse, not better.
Traditional Rule engine
- Fixes the symptom, not the root cause
- Acts on stale alerts, causing unnecessary outages
- No memory, no context, no second opinion
- Brittle — one new vendor breaks the ruleset
- Tribal knowledge stays locked in spreadsheets
Agentic AI with Critic LLM
- Distinguishes symptom from root cause (e.g. OSPF vs BGP)
- Verifies every alert against live state before acting
- A second LLM critiques each proposal before execution
- Graph-aware — predicts blast radius before healing
- Cites the playbook that justifies every decision
What ANE is
Four pillars, one operational model
An agentic system that reads alerts in context, consults the playbook, gets a second opinion, and acts only when confident.
Multi-vendor
One pane, one workflow across Nokia SR OS, Cisco XRd, Juniper, and Arista.
AI brain
Provider-agnostic reasoning (Claude, OpenAI, or DeepSeek); swappable, never locked in.
RAG knowledge
Graph, contextual, and fusion retrieval grounds every answer in your own playbooks.
Critic LLM
An independent second opinion validates every heal proposal before anything runs.
Next
See what this is worth.
Operational savings, SLA protection, and a conservative three-year ROI model.
Why it matters →
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