Ask Your Network Anything. Across Every Vendor.

Network Copilot™, Enterprise AI NetOps

One conversation to inventory, troubleshoot, audit, and report across your entire multi-vendor network, grounded in your real data, running on infrastructure you own.

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Hello! How may I help you today?

The AI layer that makes your network talk.

Your best engineer's reach, extended to every operator.

The answer to almost every network question already exists, trapped across a dozen tools and a hundred per-vendor CLIs. Network Copilot is a conversational, agentic assistant that ingests your multi-vendor network, reasons over it with a private LLM, and takes governed action, inventory, health checks, root-cause analysis, security audits, upgrade compliance, ticketing.

Every answer arrives with its evidence attached, retrieved from your own data, not the public internet. The result: your whole team operates at the level of your best engineer, by asking, not scripting.

Built on the Aviz Autonomous Agentic Platform, vendor-neutral, private, programmable. What you deploy for NetOps compounds across every team. Explore the AI Platform.

You No Longer Need the CLI. You Need the CLI.

Retire the Command-Line Interface, decades of per-vendor syntax only a few experts still remember. Adopt the Common Language Interface: one conversation with every device, controller, and data source you run.

One interface. Every vendor. No syntax required.

Ingest. Reason. Act.

How Network Copilot turns your multi-vendor network into answers and action.

Ingest

Connect switches, controllers, observability stacks, ticketing systems, and clouds, live telemetry and offline dumps, 20+ validated connectors.

Reason

Ask in plain language. A private LLM, grounded by retrieval over your data, answers with root cause and the supporting evidence.

Act

Generate the report, open the ticket, run the audit, verify the change, inside role-based guardrails, approval gates on anything state-changing.

Grounded recommendations and governed action today; event-driven autonomous agents are on the roadmap.

Eight curated NetOps use cases

Productized, grounded workflows, not a blank prompt box. Documented, ready on day one, answerable in plain language.

Basic NetOps

Automate the routine checks that eat your mornings, health, interfaces, errors, reboots.

Ask it:“Summarize fabric health across all sites.”

Flow Analytics

Full visibility into traffic flows, spot anomalies, find congestion, optimize performance.

Ask it:“Show top talkers on the data-center spine, last hour.”

Inventory Insights

Search your installed base by interface type, port speed, IP, hostname, or site.

Ask it:“List every device by site with model, OS, and available 100G ports.”

Security Audits

Validate configuration against your own templates, checked continuously, not annually.

Ask it:“Audit TACACS+, SNMP, and NTP against our golden template.”

Support Knowledge Base

End-of-support dates, known vulnerabilities, and advisories matched to your hardware.

Ask it:“Which devices are near end-of-support with open vulnerabilities?”

Upgrade Compliance

Track OS changes, run pre/post-upgrade checks, see upgrade impact with deltas documented.

Ask it:“Diff pre/post-upgrade checks from last night's maintenance window.”

Ticketing & Support

Open and update tickets in ServiceNow or Zendesk with root cause and evidence attached.

Ask it:“Open a ServiceNow incident for this flap with RCA attached.”

Observability

App usage and user quality-of-experience, what the network carries, and who feels it.

Ask it:“Which apps used the most bandwidth, and where did QoE degrade?”

When the packaged use cases end, the platform begins. Network Copilot ships with prepackaged agents, plus the Aviz Agent SDK to build your own: memory-leak detection, log analysis, SONiC root-cause analysis, intent-drift detection, path analysis. Capture a senior engineer's playbook once; let every operator run it. Browse reference agents.

20+ validated connectors. Seven categories.

Plus multi-vendor device collectors for config, telemetry, flows, and offline dumps, across Cisco NX-OS/IOS-XE/IOS-XR, Arista EOS, SONiC, Palo Alto, Fortinet, and NVIDIA Cumulus Linux.

Observability & Infrastructure

7 connectors

Cisco Nexus/Catalyst, Forward Networks, SolarWinds, IP Fabric, NetBox, NetQ

Collaboration & ITSM

4 connectors

Slack, Rocket.Chat, Zendesk, ServiceNow

Log & Metrics Ingestion

4 connectors

ELK Stack, Splunk, Loki (syslog), InfluxDB (flow logs)

Cloud & Storage

3 connectors

Amazon S3, Azure Blob Storage, Google Cloud Storage

Data Warehousing & Analytics

2 connectors

BigQuery, Snowflake

Identity & Access Management

1 connector

Active Directory

Aviz Native

1 connector

Aviz ONES

See the full connector catalog

Category	Connectors
Aviz Native	Aviz ONES
Identity & Access Management	Active Directory
Cloud & Storage	Amazon S3, Azure Blob Storage, Google Cloud Storage
Log & Metrics Ingestion	ELK Stack, Splunk, Loki (syslog), InfluxDB (flow logs)
Data Warehousing & Analytics	BigQuery, Snowflake
Observability & Infrastructure	Cisco Nexus Dashboard, Cisco Catalyst Center, Forward Networks (Forward DC), SolarWinds, IP Fabric, NetBox, NetQ
Collaboration & ITSM	Slack, Rocket.Chat, Zendesk, ServiceNow

Digital-twin data included: the Forward Networks connector brings modeled network state into the same conversation as your live telemetry. See the full, current connector catalog.

Grounded answers. Evidence attached. Infrastructure you own.

Hardware vendors bundle copilots that act only on their own gear. SaaS AIOps platforms are multi-vendor, but your telemetry leaves for someone else's LLM. Network Copilot is built differently on both axes.

The question to ask any vendor	Network Copilot's answer
Does the AI work across all my vendors?	Vendor-neutral by design, reasons and acts across Cisco NX-OS, Arista EOS, SONiC, NVIDIA Cumulus Linux, and the tools around them.
Where does my data and my LLM run?	Your infrastructure, a private LLM on your own GPUs, on-prem or air-gapped. Telemetry never leaves, never trains someone else's model.
Are the answers real or plausible?	Retrieval-grounded, every answer grounded in your config, telemetry, flows, logs, and tickets. Root cause with receipts.
What happens when the AI wants to act?	Governed action, RBAC, approval gates, project-scoped isolation, full audit visibility.
Can my team build on it?	Programmable, the Aviz Agent SDK turns your team's playbooks into governed, reusable agents.
How am I priced?	On value, term licensing, not metered per token, per device, per flow, or per agent run.

Judged, not self-declared: Best-in-Show at the ONUG AI Networking Summit, Fall 2025, and Silver Winner, 2025 Merit Awards for Technology, Best AI Startup.

Priced on value. Deployed on your terms.

Term licenses, scoped to three network-size tiers, not metered per token, per flow, or per agent run. Every tier gets the same eight curated use cases and the same connector catalog; the tier just scales with your fleet.

Base

Smaller Networks

Every curated use case and connector, full capability from day one.

Advanced

Growing Networks

The same use cases and connectors, with more headroom as you grow.

Performance

Enterprise Scale

The same product, engineered to keep pace with your busiest networks.

All three tiers ship the same eight curated use cases and the same 20+ validated connectors, the tier reflects your network's size, not what the product can do.

Need something beyond the eight curated use cases?

Add custom-built agents scoped to your environment, or an “agent pack” purpose-built for a specific use case, layered on top of any tier via the Aviz Agent SDK and your Aviz team.

Deploy it your way.

On-prem

Run the platform and the LLM inside your data center, on your GPUs.

Air-gapped

Fully disconnected deployment for classified and isolated environments.

Hybrid

Your deployment, with the LLM hosted by Aviz.

Bring your own LLM

Point the platform at the model endpoint you already trust.

Proof-of-concept starts with Docker Compose; production runs on Kubernetes, with virtual-appliance images available. System requirements.

Ecosystem & backing

Best-in-Show

ONUG AI Networking Summit, Fall 2025

Silver Winner

2025 Merit Awards, Best AI Startup

Common questions

The most-asked questions from teams evaluating Network Copilot for their multi-vendor networks.

Does my data leave my environment?

No. Deploy on-prem or fully air-gapped with a private LLM running on your own GPUs. Your prompts and telemetry stay inside your environment and never train someone else's model. A hybrid option with an Aviz-hosted LLM is available where that fits your posture.

Do I have to use your LLM?

No. Network Copilot is LLM-agnostic: run a private model on your own infrastructure, use the Aviz-hosted option, or bring your own model endpoint. You choose where inference runs.

Which network vendors are supported?

Multi-vendor by design: Cisco NX-OS, IOS-XE, IOS-XR, Arista EOS, SONiC, Palo Alto and Fortinet FW OS, and NVIDIA Cumulus Linux, with more platforms in development, plus device collectors (SSH config, SNMP telemetry, sFlow/NetFlow/IPFIX, offline dumps) and 20+ validated connectors.

Can my team build custom automation?

Yes. The Aviz Agent SDK (ncp-sdk on PyPI) lets your engineers build agents in Python, custom tools, multi-agent workflows, memory, MCP integration, and publish them with role-based governance. Your automation stays your IP.

Does it change my network on its own?

No. Today Network Copilot recommends, reports, and tickets, grounded in evidence. Any state-changing action runs through your role-based approval gates. Broader autonomous, event-driven agents are on the roadmap, inheriting the same governance.

How is it priced?

On value, not per device, per flow, or per agent run. Talk to us for a quote scoped to your environment.

Ask Your Network Anything.

See Network Copilot answer real questions on a multi-vendor fabric, grounded in the data, evidence attached, on infrastructure you own.

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