What is NOFire AI?
Production incidents are expensive. They impact revenue, frustrate customers, and burn out your team. NOFire AI helps you prevent incidents before they reach production and resolve the ones that do happen faster.The Problem We Solve
When deploying changes, teams face uncertainty:- Will this break production?
- Which services are affected?
- Should we deploy now or wait?
- What if something goes wrong?
- Jumping between dashboards trying to understand what’s wrong
- Hunting for the root cause across logs, metrics, and traces
- Figuring out what changed recently
- Determining safe deployment strategies
How NOFire AI Helps
NOFire AI understands how your production environment really works by building a causal graph of your infrastructure. It combines Causal AI (understanding cause-and-effect relationships) with GenAI (natural language understanding and reasoning) to provide accurate, context-aware insights. Before deployment: Know if your changes are safe or risky. Get clear guidance on deployment strategy based on actual causality in your system. During incidents: Understand what’s wrong and why within minutes. Get specific remediation steps backed by causal analysis, not just correlation. Works with your existing stack: Integrates with Grafana, Prometheus, Loki, Tempo, and your other tools. No rip and replace.How It Works
NOFire AI operates in two complementary modes to provide comprehensive production reliability:Proactive Mode: Shift-Left Reliability
Before code reaches production, NOFire AI helps you:- Assess deployment risk for code changes
- Analyze blast radius and dependency impact
- Identify critical services in the change path
- Recommend deployment strategies (canary, staged rollout, etc.)
Reactive Mode: Incident Response
When alerts fire, NOFire AI automatically:- Triages alerts and identifies root causes using Causal AI
- Correlates telemetry data across metrics, logs, and traces
- Provides specific remediation steps based on your infrastructure
- Learns from each incident to improve future responses
Key Features
Proactive Deployment Risk Assessment
Know the impact before you deploy. Analyze code changes to understand which services are affected and how risky the deployment is. Get clear deployment strategy recommendations: standard, canary, or staged rollout.
IDE & MCP Integration
Bring NOFire AI directly into your development workflow. Get deployment risk analysis and production insights without leaving your IDE. Works with Cursor, Claude Desktop, and other MCP-compatible tools.
Root Cause Analysis
Understand why things break, fast. When incidents happen, get the real root cause within minutes instead of hours of dashboard hunting. Built for production complexity.
Alert Triage & Impact Analysis
Cut through alert noise to see what actually matters. Automatically understand business impact and which services are affected. Focus on fixing problems instead of chasing symptoms.
Recommended Actions
Get specific remediation steps based on your actual infrastructure. Not generic playbooks—actions that work because they understand your environment.
Live Operational Investigations
Query production in natural language from your IDE or Slack. Onboard new engineers faster, investigate incidents, understand service relationships, see recent changes—all without dashboard hunting. Makes tribal knowledge obsolete.
Integration Options
NOFire AI offers flexible integration options to fit your workflow:Dashboard & Web Interface
Dashboard & Web Interface
Full-featured web dashboard for incident investigations, deployment risk analysis, session history, and system configuration. Perfect for on-call engineers and SRE teams managing production incidents.
Slack Bot
Slack Bot
Embed NOFire AI directly in your Slack workflows. Mention @NOFireAI bot to:
- Alert triage automatically - Get instant analysis of which alerts matter and why
- Run investigations - Investigate incidents collaboratively with your team in Slack
- Live operational queries - Ask questions about your production environment in natural language: “What services depend on the payment API?” or “Show me recent changes to auth-service”
Data Ingestion
Data Ingestion
Two options to get your production data into NOFire AI:Option 1: Connect to Observability Stack
- Direct integration with Grafana, Prometheus, Loki, Tempo
- No agent required
- Query your existing telemetry data
- Deploy agent in your Kubernetes clusters
- Observes infrastructure
- Builds a causal graph of your environment
- Powers both incident response and proactive reliability
MCP Integration (IDE)
MCP Integration (IDE)
Connect NOFire AI to your IDE via Model Context Protocol (MCP). Get deployment risk analysis, query production environment, investigate incidents, and onboard new engineers—all directly in Cursor, Claude Desktop, or any MCP-compatible tool.Use for:
- Pre-deployment risk assessment
- Production operational queries
- Incident investigation
- Engineer onboarding and production knowledge