AI-Driven Root Cause Analysis
for Complex Multi-Vendor Networks

Agentic AI agents correlate events across devices, monitoring tools, and teams to identify root causes and reduce MTTR by 70%+.

70%+
MTTR Reduction
50+
Vendor Support
24/7
Autonomous Analysis

The Problem

Modern network operations face unprecedented complexity

Multi-Vendor Complexity

Networks span Cisco, Juniper, Arista, Nokia, and dozens of specialized vendors. Each with different APIs, protocols, and management interfaces.

Alert Floods

Thousands of alerts per hour across monitoring tools. Critical signals buried in noise. No clear prioritization or correlation.

Slow MTTR

Mean Time To Resolution measured in hours or days. Manual correlation across teams, tools, and time zones. Escalation delays compound outages.

Siloed Tools

SNMP collectors, log aggregators, APM tools, ticketing systems—all disconnected. Engineers manually piece together context.

High Operational Cost

Large NOC teams working around the clock. Extended outages impact SLAs and revenue. Reactive firefighting instead of proactive optimization.

Manual Correlation

Engineers spend hours correlating events across domains, timeframes, and teams. Human error and fatigue lead to missed connections.

The Solution

Agentic AI platform that reasons across your entire network infrastructure

Our platform deploys specialized AI agents that interact with network devices, monitoring tools, logs, and ticketing systems. These agents collaborate to correlate events, infer root causes, and recommend actions—all with explainable reasoning and confidence scores.

Multi-Agent Architecture

Specialized agents for device telemetry, log analysis, topology mapping, and incident correlation

Cross-Domain Reasoning

Agents reason across physical, network, transport, and application layers to identify root causes

Explainable Insights

Every recommendation includes reasoning chain, evidence, and confidence score—no black box

Continuous Learning

Agents learn from network patterns, incident resolutions, and operator feedback to improve accuracy

📡
Device Agent
📊
Monitor Agent
📝
Log Agent
🎫
Ticket Agent
🧠
Orchestrator

How It Works

Five-step process from ingestion to actionable insights

01

Ingest Telemetry, Logs, Alerts, Topology

Platform ingests data from SNMP, NETCONF, gNMI, syslog, SNMP traps, monitoring APIs (Prometheus, Datadog, New Relic), and topology discovery protocols. Normalizes data into unified event stream.

  • Multi-protocol device connectivity
  • Log aggregation from multiple sources
  • Real-time alert ingestion
  • Topology mapping and discovery
02

AI Agents Analyze Signals Across Layers

Specialized agents analyze signals independently: device agent examines interface errors, monitor agent processes performance metrics, log agent parses error patterns, topology agent maps dependencies.

  • Layer-specific signal extraction
  • Pattern recognition and anomaly detection
  • Temporal correlation within domains
  • Confidence scoring per signal
03

Cross-Domain Correlation & Reasoning

Orchestrator agent correlates findings across agents, domains, and timeframes. Uses graph-based reasoning to identify causal relationships. Considers network topology, traffic flows, and historical patterns.

  • Graph-based event correlation
  • Causal chain inference
  • Topology-aware reasoning
  • Multi-agent collaboration
04

Root Cause Hypotheses + Recommended Actions

Platform generates ranked hypotheses with confidence scores, evidence chains, and recommended remediation steps. Each hypothesis includes explainable reasoning path from signals to conclusion.

  • Ranked root cause hypotheses
  • Confidence scoring (0-100%)
  • Evidence chain visualization
  • Actionable remediation steps
05

Unified Dashboard for Operators

NOC engineers see unified view: active incidents, root cause analysis, recommended actions, and system confidence. Integrates with existing ticketing and workflow tools.

  • Real-time incident dashboard
  • Root cause visualization
  • Evidence and reasoning display
  • Integration with ticketing systems

Key Capabilities

Built for enterprise network operations

Multi-Vendor Support

Works with Cisco, Juniper, Arista, Nokia, Ciena, and 50+ vendors. Protocol-agnostic architecture adapts to any device or API.

Cross-Layer Correlation

Correlates events from physical layer (fiber cuts, optics) through network (BGP, OSPF) to application (latency, errors).

Agent-Based Reasoning

Multiple specialized AI agents collaborate to reason about complex incidents. Each agent brings domain expertise.

Explainable Insights

No black box. Every recommendation includes reasoning chain, evidence sources, and confidence score. Operators understand why.

Reduced MTTR

Average 70%+ reduction in Mean Time To Resolution. Faster root cause identification means faster incident resolution.

On-Prem / Hybrid Deployment

Deploy on-premises or hybrid for regulated industries. Data stays in customer environment. Read-only integrations where possible.

Why This Is Different

Not another alert aggregator or vendor-locked tool

Traditional Tools
  • ✗ Alert aggregation without correlation
  • ✗ Vendor-locked to single ecosystem
  • ✗ Rule-based correlation (brittle, requires maintenance)
  • ✗ Designed for clean, homogeneous networks
  • ✗ Works within single team or tool
Our Platform
  • ✓ Agentic AI correlation across domains
  • ✓ Vendor-agnostic, protocol-agnostic
  • ✓ AI-based reasoning (adapts to network changes)
  • ✓ Designed for real-world messy, multi-vendor networks
  • ✓ Works across teams, tools, and time zones

Who It's For

Built for network operations teams and infrastructure leaders

Network Operations (NOC)

Reduce alert fatigue, accelerate incident resolution, and improve team efficiency. Focus on high-value work instead of manual correlation.

Site Reliability Engineers (SRE)

Understand root causes faster, reduce MTTR, and improve system reliability. AI agents handle routine correlation, you handle complex decisions.

Network Architects

Gain visibility into network behavior, identify optimization opportunities, and validate design decisions with data-driven insights.

VP / Head of Infrastructure

Reduce operational costs, improve SLAs, and scale operations without linear headcount growth. Measurable ROI from day one.

Security & Trust

Enterprise-grade security for regulated industries

🔒

Data Residency

All data stays in your environment. On-premises or hybrid deployment options. No data leaves your network without explicit configuration.

👁️

Read-Only Integrations

Platform uses read-only access to network devices and monitoring tools wherever possible. No configuration changes without operator approval.

🛡️

Enterprise Security

Role-based access control, audit logging, encryption at rest and in transit. SOC 2 Type II compliant. Designed for regulated industries.

🔐

Compliance Ready

Architected for telecom, satellite operators, and enterprises with strict compliance requirements. Supports air-gapped deployments.

Talk to Our Engineering Team

See how agentic AI can transform your network operations. Request a technical demo tailored to your infrastructure.