Leverage the power of large language models and machine learning to triage, analyze, and resolve incidents faster. Let AI handle the complexity.

AI Capabilities
Built on state-of-the-art LLMs and trained on incident management best practices. Our AI gets smarter with every incident.
Automatically categorize incidents by severity, service impact, and urgency using natural language processing and historical patterns.
AI analyzes logs, metrics, and traces to identify probable root causes and suggest investigation paths.
Find similar past incidents and their resolutions instantly. Learn from historical data to resolve issues faster.
Generate concise summaries of complex incidents with key events, actions taken, and outcomes for quick handoffs.
Get AI-powered recommendations for incident remediation based on your runbooks and historical resolutions.
Ask questions about your incidents, metrics, and logs in plain English. Get instant answers powered by LLMs.
AI assistance throughout the incident lifecycle
From detection to resolution, our AI helps at every step of incident response.
When a new alert arrives, our AI immediately analyzes the title, description, metrics, and logs to determine severity, affected services, and recommended owners. This happens in milliseconds, ensuring incidents are routed correctly from the start.
Ask "What caused this incident?" and get AI-powered analysis across your logs, metrics, and traces. The AI identifies correlations, anomalies, and likely root causes, saving hours of manual investigation.
Based on similar historical incidents and your runbook library, the AI suggests remediation steps ranked by likelihood of success. Junior engineers can resolve incidents that previously required senior expertise.
After resolution, the AI generates a comprehensive postmortem draft including timeline reconstruction, impact assessment, root cause analysis, and recommended action items to prevent recurrence.
Built on state-of-the-art technology
We leverage the latest advances in AI and machine learning to provide intelligent incident assistance.
We use advanced LLMs (GPT-4, Claude) fine-tuned on incident management data to understand technical context and provide relevant suggestions.
Custom ML models trained on your incident history learn patterns specific to your infrastructure and improve accuracy over time.
Semantic search using vector embeddings finds similar incidents even when they use different terminology or describe issues differently.
See how our AI assistant can help your team resolve incidents faster and learn from every event.