Network Digital Twin

Build a runnable multi-vendor replica of your network from a plain-English prompt in minutes, then execute real changes on real CLIs — not a read-only model.

Try It Free
app.netpilot.io

Built on real multi-vendor network OSes — not approximations

9+
network OSes and growing, on real CLIs
~2 min
from prompt to a running multi-vendor twin
4-in-1
change validation, what-if, dev/test, pre-deploy

What is a network digital twin?

A network digital twin is a virtual replica of a physical network you can run real configs and CLIs on to test changes before production. It mirrors your real topology, addressing, vendor NOSes, and routing relationships. Twins come in two forms: passive/telemetry twins that continuously model live production read-only (Forward Networks, Ciena, Nokia, VIAVI), and runnable twins you build on demand and actually execute changes on. NetPilot is the on-demand runnable twin — and the two are complementary. Read the full explainer.

Looking for change validation specifically? Network Change Validation Lab is the dedicated, focused page for pre/post BGP, ACL, and routing-change testing. The digital twin here is the broader umbrella — change validation is one of four use cases, alongside what-if modeling, dev/test sandboxing, and pre-deployment testing. See also the AI network emulator that powers it.

A runnable digital twin, not a read-only model

Passive/telemetry twins model live production but you can't execute a change on them; DIY labs run real gear but take weeks to build. NetPilot is the AI-built runnable twin — one umbrella for change validation, what-if modeling, dev/test sandboxing, and pre-deployment testing.

Cloud-native

Browser only. Nothing to install.

The alternative

DIY ContainerLab / EVE-NG twins mean VMs, Docker, 16-32 GB RAM, and hours of setup before a single device boots.

AI-designed

Describe any topology in plain English — AI designs, configures, and deploys it; SSH in to verify.

The alternative

Passive/telemetry twins (Forward, Ciena, Nokia, VIAVI) model prod read-only; DIY labs mean hand-writing YAML per device.

Multi-turn iteration

“Add an Arista spine, move OSPF to area 0.0.0.1” → AI updates across all devices.

The alternative

Rewrite + push configs by hand, device by device; verification tools analyze a change but can’t run it on a live replica.

2 minutes vs days/weeks

~2 minutes from prompt to working multi-vendor lab.

The alternative

Standing up a self-hosted twin is days-to-weeks of provisioning, image sourcing, and per-device CLI before the first test.

See It in Action

Watch how NetPilot builds a complete sandbox environment from a single description.

From prompt to a running digital twin

Describe the network (or paste sanitized configs), let the agent build and deploy the runnable twin, then SSH into real device CLIs to execute and verify the change.

1. Describe it — or import your configs

Tell NetPilot what to twin in plain English, or paste sanitized production configs. No diagrams, no templates, no YAML to hand-write — the agent matches your topology, addressing, vendor NOS, and routing relationships.

app.netpilot.io

2. The AI agent builds and deploys the twin

NetPilot lays out the topology, generates per-vendor configs, and deploys a runnable multi-vendor twin — Nokia SR Linux, FRR, and Linux built in, plus Cisco IOL, Juniper cRPD, Arista cEOS, Palo Alto, and Fortinet via bring-your-own-image — 9+ network OSes and growing, to dedicated cloud or your on-prem environment in minutes.

app.netpilot.io

3. SSH into real CLIs and execute the change

Open a real device CLI over SSH, apply the change, watch OSPF reconverge, and verify — or let the agent drive every device for you. Real network-OS code, not a read-only model, so behavior matches production before it ships.

app.netpilot.io

Four use cases, one runnable digital twin

Change validation, what-if modeling, dev/test sandboxing, and pre-deployment testing — the same AI-built multi-vendor twin, different workflows.

Change Requests Go Untested

Network changes go straight to production because building a test environment takes too long. One misconfigured BGP peer or ACL can take down critical services.

Automation Scripts Break in Production

Your Ansible playbooks work in dev but fail on production gear. Without a realistic multi-vendor test bed, you're debugging live — and hoping nothing breaks.

Lab Setup Takes Weeks

Building a POC environment means provisioning VMs, finding device images, configuring each device by hand. By the time it's ready, the project timeline has slipped.

Multi-Vendor Complexity

Your production network has Cisco, Juniper, Arista, Nokia, and Palo Alto. Matching it by hand needs expertise in every vendor's CLI — the agent writes per-vendor syntax across 9+ NOSes for you.

Traditional Sandbox vs. NetPilot Digital Twin

Stop waiting weeks for sandbox environments. AI-built digital twin in minutes for every use case.

Traditional workflow

File change request ticket
Wait for lab environment approval
Provision VMs and install EVE-NG
Hunt for device images
Build topology manually in GUI
Configure each device via CLI
Hope it matches production

Weeks per environment

With NetPilot

Describe the test scenario in plain English
AI builds matching topology with working configs
Test changes, validate automation, ship with confidence

Minutes per environment

A Complete Network Digital Twin Platform

Everything you need for change validation, what-if modeling, dev/test sandboxing, and pre-deployment testing — on real multi-vendor CLIs.

Change Management Sandbox

Validate every change request before production. Test BGP updates, ACL changes, and routing migrations in an isolated sandbox environment.

Pre-Production Validation

Catch configuration errors before they cause outages. Test failover scenarios, validate configs, and ship changes with confidence.

Automation Testing

Run Ansible, Python, Terraform, or any automation code against real device CLIs. Test in isolation, debug safely, deploy with confidence.

Runnable Network Digital Twin

Describe your topology or paste sanitized configs. The agent builds a matching runnable twin — real NOS you can execute changes on, in minutes.

Multi-Vendor Support

9+ network OSes and growing — Nokia SR Linux, FRR, and Linux built in; Cisco IOL, Juniper cRPD, Arista cEOS, Palo Alto, and Fortinet via bring-your-own-image (BYOI); SONiC and other custom NOS images are built for you on the enterprise plan. The agent handles each vendor's syntax.

Isolated Cloud Sandbox

Each sandbox runs in a dedicated cloud VM. No shared resources, no conflicts. Test sensitive scenarios without exposing production.

What you can model as a digital twin

Describe any of these in plain English — the agent builds a runnable multi-vendor replica you can apply changes to and verify on real device CLIs.

Production-mirror digital twin

Paste sanitized configs — the agent builds a runnable replica of the segment so you can execute the change before prod.

BGP / ACL change validation

Stage a route-map, prefix-list, or ACL edit on the twin, watch sessions reconverge, and diff before/after on real CLIs.

What-if link & node failure

Drop a link or fail a core router on the twin and model how OSPF, IS-IS, or BGP reroutes — without touching live gear.

Pre-deployment NOS upgrade test

Rehearse a software upgrade or feature rollout on a faithful copy to catch breakage before the maintenance window.

Automation dev/test sandbox

Run Ansible, Nornir/Netmiko Python, or Terraform against the twin’s real NOS to debug playbooks off production.

CI/CD twin per pull request

REST API spins up a fresh twin on every PR and tears it down on merge — config tests run before code ships.

Multi-vendor interop modeling

Cisco, Juniper, Arista, and Nokia in one twin — verify cross-vendor routing and policy behavior matches design.

Vendor POC & migration twin

Model a migration target — Arista vs Juniper, new SD-WAN, an EVPN fabric — and validate the design before you buy.

Works with your existing stack

The digital twin is built from your source-of-truth and feeds back into the tools your team already runs. Run your automation and tests against the twin today; under the enterprise plan, NetPilot's team builds the MCP/API integration into your stack with you.

NetBox / Nautobot

The twin is built from your source-of-truth — NetBox/Nautobot documents the topology, NetPilot builds the matching runnable twin from it. Source-of-truth wiring built with you under the enterprise plan.

ServiceNow / Jira

A change record spins up a twin of the affected segment; you validate the change and hand the report back to the ticket. Wired in under the enterprise plan.

Forward / Batfish / Cisco pyATS

They model live prod (Forward), prove config invariants (Batfish), and assert device state (pyATS); NetPilot is the runnable twin those checks execute against before the change ships.

Ansible / Terraform

Run Ansible playbooks, Nornir/Netmiko/NAPALM scripts, or Terraform network providers against the twin's real NOS CLIs via SSH — today, before they touch prod.

Git / CI-CD pipelines

A fresh twin per pull request via the REST API — apply the change, diff pre/post state, gate the merge. GitHub Actions, GitLab CI, or your pipeline (enterprise REST API).

NetBox, ServiceNow, Git, and CI/CD wiring is built with you under the enterprise plan (hands-on Signature and Enterprise delivery).

Runnable twin vs passive twins vs DIY

Forward Networks, Ciena, Nokia, and VIAVI win the continuous live-prod telemetry twin — that's their lane. NetPilot is the on-demand runnable twin you build from a prompt and actually execute changes on; open-source ContainerLab is the DIY YAML alternative. Many teams use both a passive twin and a runnable twin.

Twin type
NetPilot
On-demand runnable twin from a prompt
Passive twins (Forward / Ciena / Nokia / VIAVI)
Continuous, telemetry-fed model of live prod
ContainerLab (DIY)
On-demand runnable lab from YAML
Run real changes on real CLIs
NetPilot
Real NOS via SSH — agent or hands-on CLI
Passive twins (Forward / Ciena / Nokia / VIAVI)
Read-only model; what-if is analysis, not execution
ContainerLab (DIY)
Real NOS via SSH
Continuous live-prod telemetry twin
NetPilot
On-demand mirror, not always-on prod telemetry
Passive twins (Forward / Ciena / Nokia / VIAVI)
Their core strength — always-on whole-network model
ContainerLab (DIY)
Not a telemetry product
How the twin is built
NetPilot
Plain English or sanitized configs → AI builds it
Passive twins (Forward / Ciena / Nokia / VIAVI)
Auto-ingest configs/state from prod devices
ContainerLab (DIY)
Hand-write YAML + manage images
Time to a runnable twin
NetPilot
Minutes from prompt
Passive twins (Forward / Ciena / Nokia / VIAVI)
N/A — models prod, doesn't run a replica
ContainerLab (DIY)
Hours–days of YAML + image setup
Multi-vendor coverage
NetPilot
9+ NOSes & growing — agent writes per-vendor syntax
Passive twins (Forward / Ciena / Nokia / VIAVI)
Broad device-model ingest at scale
ContainerLab (DIY)
You source every image yourself
AI agent
NetPilot
Builds, changes, and iterates the twin conversationally
Passive twins (Forward / Ciena / Nokia / VIAVI)
Query/assistant layers, not lab-building
ContainerLab (DIY)
None
CI/CD / API integration
NetPilot
REST API — spin up / tear down per pull request
Passive twins (Forward / Ciena / Nokia / VIAVI)
APIs for assurance pipelines
ContainerLab (DIY)
Scriptable, build it yourself
Deployment
NetPilot
Cloud-first; enterprise on-prem option
Passive twins (Forward / Ciena / Nokia / VIAVI)
On-prem / SaaS
ContainerLab (DIY)
Your own hardware
Best for
NetPilot
Building a runnable twin to safely test a change before prod
Passive twins (Forward / Ciena / Nokia / VIAVI)
Always-on assurance, drift detection, whole-network what-if
ContainerLab (DIY)
DIY teams who want to own the YAML and images

Enterprise Sandbox Use Cases

From change management validation to CI/CD pipelines, NetPilot fits into your existing workflow.

Change Management Validation

Test every change request in a sandbox before production. Validate BGP changes, ACL updates, routing protocol migrations — catch errors before they cause outages.

Network Automation CI/CD

Integrate lab provisioning into your GitOps pipeline. Test Ansible playbooks, Terraform configs, and Python scripts automatically with every commit.

Vendor POC Evaluation

Evaluating new vendors or technologies? Spin up a test environment in minutes. Compare Arista vs Juniper, test SD-WAN solutions, validate before you buy.

Training & Onboarding

Onboard new team members with realistic lab environments. Practice network scenarios without risking production. Upskill your team on multi-vendor configurations.

The Cost of Skipping the Sandbox

$5,600
Average cost per minute of network downtime
Source: Gartner
$336K
Cost of a single hour of downtime
Some enterprises report $540K+/hour
Minutes
Time to create a sandbox with NetPilot
vs. days/weeks with traditional methods

Where NetPilot fits vs passive twins + DIY

Pick passive/telemetry twins + DIY labs when you need:

  • You need a continuous, always-on twin fed by live production telemetry (Forward Networks, Ciena, Nokia, VIAVI)
  • You need whole-network assurance, drift detection, and what-if at 10k+ device scale
  • Your use case is offline formal / model-based verification of configs (Batfish, Forward)
  • You want to own the YAML and image library end-to-end on your own hardware (ContainerLab)

Pick NetPilot when you need:

  • AI-built runnable twin of a network segment in minutes, not weeks
  • Dual-path: agent iterates the twin ("move OSPF to area 0.0.0.1, inject the R2 failure, show convergence") or SSH in and drive the CLI yourself
  • Real CLIs on real NOS images — the twin actually runs, you execute the change, not just analyze it
  • 9+ network OSes and growing, multi-vendor in one topology
  • REST API for CI/CD — spin up / tear down a fresh twin per pull request

Verdict:Passive/telemetry twins win the continuous live-prod model, and formal tools win offline proof — both stay valuable and complementary. NetPilot is the AI-built runnable digital-twin choice for teams who need to build a faithful replica on demand and safely execute a change on real multi-vendor CLIs before it touches prod — as of 2026, the productized AI-native option for that job.

Frequently Asked Questions

Common questions from enterprise teams evaluating NetPilot.

A network digital twin is a virtual replica of a physical network you can run real configs and CLIs on to test changes before production. It mirrors your real topology, addressing, vendor NOSes, and routing relationships so you can validate a change, model a what-if scenario, or test automation against a faithful copy instead of live gear. Twins come in two forms: passive/telemetry twins that continuously model the live production network read-only (Forward Networks, Ciena, Nokia, VIAVI), and runnable twins you build on demand and actually execute changes on (NetPilot, plus DIY open-source ContainerLab).
Yes — NetPilot is an on-demand, runnable network digital twin. You build a multi-vendor replica of a network segment from a plain-English prompt or sanitized configs in minutes, then run real changes on real vendor CLIs via SSH. To be honest about the category: NetPilot is not a continuous, always-on twin fed by live production telemetry — that lane belongs to Forward Networks, Ciena, Nokia, and VIAVI. NetPilot is the runnable mirror you spin up to test a change, model a what-if, or stage automation, then tear down. The two are complementary: a passive twin tells you the current state of prod; a runnable twin lets you safely execute the change first.
A network simulator models device behavior with software approximations (e.g. Cisco Packet Tracer) — fast and cheap, but not the real OS. A network emulator runs the actual vendor network OS images (Cisco IOL, Arista cEOS, Juniper cRPD, Nokia SR Linux) so the CLI and protocol behavior match production. A network digital twin is the use case: an emulated (or telemetry-modeled) replica of a specific real network you use to test changes. NetPilot is an AI-native network emulator used as a runnable digital twin — real NOSes, real CLIs, built from a prompt.
With NetPilot you describe the network in plain English ("digital twin of our US-East POP — 2 Cisco PE, 1 Juniper PE, Nokia core, dual eBGP upstreams") or paste sanitized configs, and the AI agent generates a matching multi-vendor runnable twin in minutes — same topology, addressing, vendor NOS, and routing relationships. Then you work it either way: let the agent apply and iterate changes conversationally, or SSH into any device and drive the real CLI yourself. Tip: twin the affected segment (a mini digital twin), not the whole network — faster feedback and lower cost. The DIY path is hand-writing ContainerLab YAML and managing images yourself.
It depends on whether you need a passive twin or a runnable twin. For a continuous, telemetry-fed read-only twin of live production — for assurance, drift detection, and whole-network what-if at scale — Forward Networks, Ciena, Nokia, and VIAVI lead. For a runnable twin you build on demand to actually execute and verify a change on real multi-vendor CLIs, NetPilot is, as of 2026, the productized AI-native option, with open-source ContainerLab as the DIY YAML alternative. Many teams use both: a passive twin to watch prod, a runnable twin to safely test the change before it ships.
Yes. A runnable digital twin is the staging surface for any automation that pushes network changes. Run Ansible playbooks, Python with Netmiko/Nornir/NAPALM, Terraform network providers, or NETCONF/RESTCONF against the twin's real NOS — same IOS/JunOS/EOS/SR Linux syntax as production. Catch config errors, idempotency bugs, and vendor-specific drift before the automation touches prod. The AI agent can also diagnose a playbook that fails mid-run, and a REST API lets CI/CD spin up a fresh twin per pull request and tear it down on merge.
Batfish, Forward Networks, and Cisco pyATS verify rather than run the change: Batfish analyzes configs and proves invariants ("will the BGP session come up?") without executing the network; Forward Networks models live prod for continuous assurance; Cisco pyATS asserts device state with test cases. They stay the right tools for offline formal checks, assurance, and automated state assertions. A runnable digital twin is execution — NetPilot deploys real NOS, applies the change, watches OSPF reconverge, and you SSH in to verify; your pyATS test cases run against that twin pre-change, then against prod after. They are complementary: use the formal model and assertions to prove correctness, use the runnable mirror to watch the actual behavior. As of 2026, NetPilot is the productized AI-native runnable-twin option in this category.
Yes, via NetPilot's Enterprise tier — on-prem data center, private cloud, or air-gapped via private registry. For fully offline regulated environments where you must own every layer, DIY ContainerLab, EVE-NG, or GNS3 on your own hardware remain valid choices; NetPilot Enterprise covers cloud-managed on-prem and air-gapped installs as an enterprise option.
Yes. Your NetBox or Nautobot source-of-truth describes the topology, and NetPilot builds the matching multi-vendor runnable twin from it — so the twin reflects your real, documented network rather than a hand-typed approximation. Describe a segment in plain English or paste sanitized configs today; under the enterprise plan, NetPilot's team builds the MCP/API wiring from your source-of-truth with you.
Yes. NetPilot is the build-and-validate step in your workflow: a ServiceNow or Jira change record — or a Git pull request — kicks off a fresh runnable twin via the REST API, you validate the change on real CLIs, and the report goes back to the ticket or gates the merge. Run your automation and tests against the twin today; under the enterprise plan, NetPilot's team builds the MCP/API integration into ServiceNow, Git, and CI/CD with you.

Your Digital Twin. Same-Day.

14 days. Unlimited sandbox environments. A dedicated environment for your team — change validation, what-if, dev/test, pre-deployment. No credit card required. Dedicated onboarding support included.

Try It Free