AI agents that investigate, coordinate, and act across your entire infrastructure — scale your operations without scaling your headcount, while you remain in command.
The agent reacts the moment a ticket arrives, enriches, maps, correlates, and delivers a structured root cause with evidence — typically in under three minutes.
Verify post-change state across affected systems, catching regressions that slip past basic health checks.
Automatically produce detailed, evidence-grounded incident reports that strengthen customer trust.
Find the right playbook from your wiki and execute safe, deterministic steps autonomously.
Draft customer-facing updates based on live investigation state.
Agents operate in real time, around the clock. Reduce your dependence on follow-the-sun models and on-call rotations.
Your engineers handle the problems humans are best at, like complex architecture considerations or optimizations.
No missing support, NetFabric interfaces with your entire infrastructure out of the box.
Less Investigation
Time
More Thorough
Diagnostics
Higher NOC
Productivity
Anyone can point an LLM at a network. Making it accurate, safe, and cost-effective in production — that’s the hard part.
We curate context so the agent sees signal, not noise. We pre-discover vendor-specific commands so it never guesses. We summarize logs into patterns and metrics into trends so tokens aren’t wasted. Domain-heavy tasks like path inference and firewall rule application are offloaded to dedicated tools — not the LLM. Deterministic guardrails block unsafe operations before they execute. And raw telemetry is always visible in a protected panel, isolated from GenAI modifications.
The result: hallucinations fought at every layer, controlled costs, production-grade safety. Use your already-approved models — including self-hosted — and we handle the benchmarking and tuning behind the scenes.
No. We don’t replace your stack; we unify it into a single investigative stream. Your entire toolset — CLI, telemetry, NMS, SIEM, tickets — becomes one searchable, reason-ready system. No more jumping between tools.
We typically start in read-only mode, providing investigations and proposals. When you’re ready, we can move into network modifications, starting with safe changes (like clearing a cache) and optionally moving to more risky changes (like a device restart).
Anywhere. On-prem, private cloud, or SaaS. We deploy on Kubernetes and connect via standard interfaces (APIs, SSH, Telemetry).
Never. Your network data remains under your control and is never used to train global models.
We are vendor-neutral (yes, really, by harnessing the power of GenAI) and collect information wherever it may be stored. Whether you prefer to collect information via CLI or an API, or if you already collect telemetry in a database, NetFabric can reason over it.
Moving from a “cool initial demo” to a full production system requires solving many difficult challenges:
As models and best practices evolve, we continuously benchmark and tune all of this behind the scenes—so you don’t have to.