NetPilot builds your custom AI agent, the harness and the tools, tests them on real network operating systems, and delivers end to end.
Watch the agent design, build and validate a multi-vendor network on real network OSes. The same lab proves every agent we deliver.
Built and proven on real multi-vendor network OSes
NetPilot is a containerlab contributor and integrator. The NetPilot team built the mikrotik_chr kind in containerlab v0.82.0. See our upstream work.
Agent platforms sell a builder and leave the build to you. NetPilot owns the build and the outcome, with a guarantee.
NetPilot builds the agent, the harness and the tools, and delivers the working result.
Agent platforms
You get a builder, and the build is your team's project.
Every agent is tested on real network operating systems in a lab that mirrors your network.
Agent platforms
Testing depends on what the platform and your team put in place.
17+ network OSes and growing, plus any system with an API or an MCP server.
Agent platforms
Strongest on the vendor's own gear and data.
A success milestone agreed up front. Money back if it is not delivered.
Agent platforms
A license fee. The outcome is yours to deliver.
The offer, defined
A custom AI agent for network engineering is an agent built for one workflow your team runs: its own instructions, the tools it needs to reach your systems, and tests that prove it does the job. Name any network engineering agent. NetPilot builds the agent, the harness and the tools, tests it on real network operating systems, and delivers the working result.
Agent Studio is where every agent lives. Build your own, or have NetPilot build and deliver one for you. Delivered agents work in the lab and on your live network, with the approval steps your team sets.
A working agent is three things. NetPilot builds all three and tests them together.
The instructions that tell the model how your team does this job: the checks to run, the order to run them in, and what to hand back.
The agent harness is everything around the model that keeps it on task: the steps it may take, the approvals it waits for, and the tests that prove each change.
How the agent reaches your systems: your inventory, your config repos, your ticketing and your devices, over API, MCP or SSH.
Each one is built for your workflow, your vendors and your systems. The list is examples, not a menu.
An agent that builds a lab copy of the affected segment, applies the change, compares routing and reachability before and after, and writes the change report.
An agent that stands up multi-vendor test topologies, injects failures and impairment, and records how each vendor's implementation behaves.
A BGP peering agent that checks candidates against public routing and interconnection data, drafts the session config for your network operating system, and verifies it in a lab before turn-up.
An agent that turns a service request into per-vendor configs, checks them against your standards, and prepares the change for approval.
An agent that reads the alert, pulls device state with show commands, narrows the cause, and hands your engineer a tested fix.
An agent that compares running configs to your golden standards, lists every drift by device and line, and drafts the remediation.
An agent that translates configs from one vendor to another, rebuilds the design in a lab, and proves feature parity before cutover.
If it is network engineering work, we build the agent for it. Bring the runbook your team repeats most.
See the lab workflows in depth: network change validation, network research lab and network migration lab.
From a scoping call to a tested agent your team runs. NetPilot does the build.
A 30-minute scoping call with the founder. You walk through the workflow, the systems it touches and the result you need, and we agree a success milestone.
We write the agent's instructions and build the harness and the tools it needs for your inventory, your config repos, your ticketing and your devices.
The agent runs in a lab that mirrors your network, on real multi-vendor network OSes, until it does the job the way your engineers would.
The agent lands in your team's workspace. Your engineers start a chat with it, see every step it takes, and extend it when the workflow changes.
If the agreed milestone is not delivered, you get your money back for that milestone.
One place for the agents you build and the agents NetPilot delivers, each proven on real network operating systems.
Each agent has its own instructions, model and tools. Build your own, or have NetPilot build and deliver one for you. Your engineers pick an agent and start a chat.
Before delivery, every agent runs against a lab that mirrors your network on real Cisco, Juniper, Arista, Nokia and other network OSes. The lab is the proof.
The agent shows its work and the real CLI is always one click away. Your engineers stay in command: they set the intent, check the result and approve the change.
Four ways to get a network engineering agent, and what each one leaves to your team.
Verdict:An agent platform suits a team that wants monitoring first and will build its agents there. NetPilot suits a team that wants the result: a tested agent, delivered and guaranteed, or its own agents built in Agent Studio.
The full comparison, with sources: build, buy, or have it delivered.
The same platform and the same agents, wherever they have to run.
Runs in the browser, with a dedicated VM per lab and a running multi-vendor topology in about 2 minutes.
Isolated, dedicated resources for your team, scoped to your workloads.
NetPilot and your agents in your own data center or private cloud, behind your perimeter.
Fully offline on a local LLM (Ollama, vLLM, Foundry Local), with no cloud and no phone-home.
Your choice of AI provider per deployment: Claude, OpenAI, Gemini, AWS Bedrock, or a fully local LLM (Ollama, vLLM, Foundry Local) for air-gapped sites.
The controls a security reviewer looks for, and the deployment options that keep your data where you need it.
A delivered agent acts on your network through the approval steps your team defines.
Single sign-on for your team.
Who deployed what, and who ran which CLI command.
A dedicated, isolated environment per lab, with no shared tenancy.
Keep data in your own environment, with your choice of AI provider, including a fully local LLM.
We never distribute commercial vendor images. Bring your own licensed network OS images or sanitized configs.
Built for your security requirements. Tell us your compliance and data-handling needs on the scoping call, and we scope the deployment to meet them.
Both start with a 30-minute scoping call with the founder. Signature connects a system. Enterprise delivers an agent that owns a workflow.
Hands-on delivery, outcome guaranteed.
By application. Limited spots.
Any network engineering agent, built and delivered for you.
Scoped to your workflow, deployment and AI provider.
See the full plan comparison on the pricing page.
Use cases
One AI-native network lab, tailored to how each team works. Pick yours.
Mirror production and validate BGP and ACL changes on real CLIs before they ship.
Pre/post snapshot diffs capture routing tables, neighbor state, and ACL behavior before deployment.
Cisco, Juniper, Arista, Nokia, Palo Alto, Fortinet, Aruba, Dell, MikroTik, and SONiC in one lab. The agent writes the per-vendor syntax.
About two minutes from a plain-English prompt to a working multi-vendor mirror on real NOS.
Shut a backbone link or kill a BGP peer and verify reconvergence before touching production.
The questions enterprise network teams ask before they hand a workflow to an agent
Five ways to get a network engineering agent, compared on who builds it, who tests it and who owns the result.
Build your own network agent, or have NetPilot build and deliver one.
The step-by-step guide to a custom AI agent for network engineering.
Agents build the network. Engineers run the agents.
Custom integrations with the systems you run. NetBox, Nautobot, Git and ServiceNow are a few examples.
Rehearse BGP, ACL and routing changes on a runnable copy of your network.
Reproduce cross-vendor behavior and inject failures for protocol R&D.
Rehearse a vendor swap on a runnable copy of your network and prove parity before cutover.
Multi-vendor test topologies on real network OSes, built from a prompt.
A 30-minute scoping call with the founder. We map the workflow, agree the success milestone, and tell you plainly what we will deliver.
See how the plans compare on the pricing page.