Network Troubleshooting with Nanites AI

Since the earliest days of the internet, networking has been the invisible force powering every digital experience. Whether it's a video call, cloud app, or streaming platform, packets must move flawlessly across a complex web of routers, switches, and links. But when something breaks, troubleshooting the network can feel like staring into a black box. Root causes are buried behind CLI prompts, scattered logs, and noisy alerts. Even the best engineers are forced into long, manual investigations filled with guesswork. Just ask any on-call network engineer. A 2 a.m. alert might lead to hours of SSH sessions and log scraping, only to discover a dropped packet on a congested link or a misconfigured route. And more often than not, tracing the root cause depends on tribal knowledge - unwritten expertise that only a few internal engineers truly hold. But that’s not even the real problem. The real problem is time. Every minute of downtime means missed SLAs, lost revenue, and escalating customer complaints. And network complexity is only growing.

That’s exactly why we built Nanites AI.

Born out of years of experience in networking and AI, Nanites was built to eliminate the slow, reactive, and manual nature of network troubleshooting. Our first prototype proved that it was possible for an AI agent to not only to handle an alert and detect a network problem, but reason through the symptoms, isolate the root cause, and offer or even execute a fix in seconds. We realized early on that we weren’t just building a bot. We were building a 24/7 autonomous network engineer.

The Network Troubleshooting Struggle

While monitoring tools and automation have advanced, core challenges still haunt network operations.

1. Noisy Alerts

Whether you use Grafana, SolarWinds, or PRTG, your team is likely overwhelmed by alerts. Many are harmless, but some hint at serious degradation. Sorting signal from noise consumes valuable time, leading to alert fatigue and missed early warnings.

2. Context Spread Across Devices

Unlike a centralized system, network state is distributed across switches, routers, and controllers. CLI outputs, syslogs, interface stats, SNMP traps, and routing tables all live in different places. By the time an engineer collects the right data, the context may have changed - or disappeared.

3. Firefighting, Not Engineering

Troubleshooting becomes a loop of logging in, checking status, correlating metrics, escalating, and iterating. It’s manual, error-prone, and time-consuming. Instead of designing better architectures, your best engineers are putting out fires.

How Agentic AI Changes Network Troubleshooting

Imagine having a virtual network engineer who listens to alerts, logs into devices, analyzes telemetry, and reasons about what’s wrong. One who can suggest or even perform a fix without waking a human.

That’s Nanites AI. A swarm of intelligent agents purpose-built for network troubleshooting. They act independently, think contextually, and move fast. Here’s how it works:

1. Always-On, Autonomous Expertise

Nanites watches your network continuously, reacting to alerts or analyzing traffic patterns to proactively find anomalies. The moment something goes wrong, it kicks off a troubleshooting workflow.

It doesn’t just pull logs. It reasons through symptoms, runs diagnostics, and correlates across devices to zero in on the root cause. What once took hours now takes seconds.

2. Built to Reason, Not Just Execute

Nanites isn’t a rule engine or a playbook executor. It uses a domain-specific cognitive architecture to emulate how real engineers think.

Ask it a broad question like “Do you see any issues in my network?” and it checks health across all systems - CPU, memory, logs, interfaces, routing. Ask something explicit like “Are we seeing asymmetric routing?” and it jumps straight to routing tables and BGP paths.

This is real-time reasoning at 100x the speed of a human. The system adapts to novel problems it hasn't seen before. It isn't executing scripts - it’s thinking.

3. Seamless Integration with Existing Infrastructure

Nanites works with what you already have. It talks to your switches, routers, firewalls, and access points via SSH, NETCONF, or RESTCONF. It collects real-time operational state directly, ingests live telemetry via gNMI or SNMP from your existing monitoring stack, and synthesizes historical data from persistent storage. This setup enables Nanites to retain long-term insights, learn from past incidents, and continuously improve its troubleshooting intelligence.

There’s no rip-and-replace. Nanites sits on top of your stack as a secure, intelligent layer of automation.

Nanites in Action

Picture this: It’s 2 a.m. An alert fires. A leaf switch is reporting high packet loss.

Here’s what Nanites does:

Reconstructs the Timeline Pulls relevant logs, interface counters, and events leading up to the alert.
Assesses the Impact Determines which paths, devices, or services are affected.
Isolates the Root Cause Finds a fiber interface with high CRC errors and confirms it’s flapping intermittently.
Recommends or Executes a Fix (with Permission) Suggests disabling the link and rerouting traffic. If approved, it executes the remediation automatically.

By the time the engineer wakes up, the problem is diagnosed with a complete summary and action plan, waiting for the engineer to approve the recommended fix.

Designed for Security and Safety

Nanites was built for real-world production networks where trust and control matter.

Human-in-the-loop workflows ensure critical changes only happen with approval.
Read-only deployment mode lets teams observe behavior before enabling actions.
On-prem or cloud deployment means you choose where data lives.
Prompt engineering, RAG pipelines, and guardrails work together to ground the LLM, reduce hallucinations, and ensure highly predictable, reliable outputs.
Self-validates its reasoning and actions to ensure accuracy before proceeding, minimizing the risk of error in high-stakes environments.

Enhancing Humans, Not Replacing Them

Nanites isn’t here to take jobs. It’s here to take pressure off. It frees engineers from repetitive incident response so they can focus on strategic projects, architecture design, and continuous improvement.

With the ongoing skills shortage in networking, this isn’t just a nice-to-have - it’s a necessity.

The Results

Up to 90% reduction in MTTR
Up to 75% increase in productivity
Near-instant response to incidents and 24/7 autonomous troubleshooting
Zero infrastructure overhaul required

Why Make It Hard When It Can Be Easy?

Networking is complex, but troubleshooting doesn’t have to be. Nanites AI transforms incident response from a manual, time-consuming grind into a fast, intelligent, autonomous workflow.

The next time your network throws you an issue, let Nanites take the first steps - or all of them. You’ll sleep better, your customers will stay online, and your business will thank you.