Your autonomous on-call engineer.
When production breaks at 2 AM, Incident Copilot investigates logs and traces, identifies the root cause, validates a fix, and prepares a response before the team wakes up.
Before & After
See how incident-copilot transforms your on-call experience
Without incident-copilot
With incident-copilot
Interactive Investigation Demo
Watch the AI investigate a production incident in real-time. See how it correlates logs, traces, and deployments to identify the root cause.
Click to launch the interactive demo
How Does It Work?
Incident-copilot automates investigation and provides actionable insights for your review.
Investigate
When an incident triggers, incident-copilot automatically analyzes logs, traces, metrics, and deployment history to understand what went wrong.
- •Correlates recent deployments with error patterns
- •Searches indexed runbooks and past incidents
- •Uses hybrid retrieval (dense + BM25) for optimal recall
- •Reranks results for relevance to current incident
Identify
Using multi-step reasoning and evidence grounding, incident-copilot generates a root cause hypothesis with confidence scoring.
- •Chain-of-thought reasoning through evidence
- •Cross-references similar past incidents
- •Validates hypothesis against deployment timeline
- •Provides confidence scores and reasoning chain
Suggest
Based on the identified root cause, incident-copilot suggests relevant runbooks, remediation steps, and a potential fix based on your codebase patterns.
- •Retrieves relevant runbooks and documentation
- •Suggests remediation steps based on past resolutions
- •Generates fix suggestion following your coding standards
- •Includes proper error handling and context
Built for Production
Enterprise-grade architecture designed for reliability, scalability, and security.
Incident Ingestion
Real-time integration with PagerDuty, Datadog, and custom webhooks
Query Understanding
LLM-powered query rewriting and semantic understanding
Hybrid Retrieval
Dense vectors + BM25 with RRF fusion for optimal recall
Knowledge Base
Indexed runbooks, past incidents, deployment history, and metrics
Reasoning Engine
Multi-step reasoning with evidence grounding and confidence scoring
Deploy Correlation
Automatic correlation with recent deployments and config changes
Triage Generation
Structured incident response with hypotheses, next steps, and evidence
Investigation Pipeline
Simple Pricing
Start with the open source version, upgrade when you need enterprise features.
Open Source
Self-hosted solution for teams getting started
- Full investigation pipeline
- Root cause analysis
- Incident-copilot recommends actionable suggestions
- Community support
- Deploy on your infrastructure
Enterprise
For teams requiring advanced features and support
- Everything in Open Source
- SSO & SAML integration
- Advanced analytics dashboard
- Custom integrations
- Priority support & SLAs
- Dedicated success manager
- On-premise deployment options