For Network Teams
See everything. Validate before you deploy. Know what breaks before it breaks.
A network digital twin powered by AI agents, cognitive analysis, knowledge graphs, and real-time telemetry, giving you complete visibility from topology to packet.
Network Digital Twin
Build a living replica of your entire network in software. Test changes, simulate failures, and validate configurations against your digital twin before touching production, eliminating risk from network operations.
Network Digital Map
Autonomous topology mapping and resource discovery across your multi-cloud and on-premises estate. The Network Digital Map Agent continuously builds and updates a visual representation of every device, link, and dependency.
Knowledge Graph (Neo4j)
Model your entire network as a knowledge graph. Query relationships between devices, services, and configurations using Neo4j to answer questions like 'what is affected if this link goes down?' in seconds.
CogniNet: Network Cognition
An AI-powered cognitive analysis layer that uses Graph Neural Networks and a 108+ rule engine to predict failures, score network health, and generate remediation plans — turning raw network data into actionable intelligence.
Powered by deep integrations
Network automation with PyATS
Cisco's PyATS framework integrated via MCP server for automated network testing, configuration validation, and operational state verification. Run test cases against your network devices, parse command outputs, and validate state, all orchestrated by Structura's AI agents.
Real-time metrics with Prometheus & Grafana
Native Prometheus MCP server integration collects and analyses network metrics in real-time. Pair with Grafana dashboards for visual monitoring, alerting on anomalies, and tracking performance trends across your entire infrastructure.
Pre-deployment validation with Batfish
The Network Validation Agent uses Batfish to mathematically verify network configurations before deployment. Analyse routing tables, ACLs, reachability, and firewall rules without ever sending a packet, catching misconfigurations that manual review would miss.
Cognitive analysis with CogniNet
CogniNet's Graph Neural Networks analyze your network configurations through 7 specialized analyzers and 108+ rules. Run what-if failure scenarios, predict blast radius, generate a Network Cognition Score for executive reporting, and get step-by-step remediation plans — all powered by AI that understands network intent, not just syntax.
Real use cases
What network teams actually automate
The Network Visibility solution is the sum of seven concrete automations our agents handle end-to-end. Start with the umbrella pipeline, or dive straight into the layer you need.
End-to-End Network Visibility with AI Agents
Continuous network visibility from config collection to digital twin to knowledge graph to live telemetry, orchestrated end-to-end by AI agents.
The six layers
Automated Network Configuration Collection with AI Agents
Continuous, multi-vendor configuration collection from every device, versioned in Git, parsed into structured data, queryable, and trusted.
Build a Network Digital Twin with AI Agents
A continuously-updated Batfish digital twin of your production network. Test changes safely, simulate failures, and validate before you ship.
Network EoS/EoL Detection with AI Agents
Continuously cross-reference your device inventory against vendor end-of-support and end-of-life feeds, with a remediation roadmap, not a panic.
Build a Network Knowledge Graph with Neo4j and AI
Model every device, link, interface, and service relationship in Neo4j, and query the network like a database.
Network Telemetry Collection with Telegraf, InfluxDB, and AI
Stream metrics from every device into InfluxDB and Prometheus, render in Grafana, and let AI agents detect anomalies, without hand-configuring anything.
Network Operational State Validation with PyATS
Continuously validate operational state (BGP neighbors, OSPF adjacencies, interface counters, route tables) against intent, using PyATS and Genie.
From discovery to validation in one platform
Network Digital Map discovers topology → Neo4j builds the knowledge graph → Batfish validates configurations → CogniNet analyzes with GNN + 108 rules → PyATS tests operational state → Prometheus monitors in real-time → Grafana visualises it all
Experience the Power of AI-Driven Infrastructure
