What is NOFire AI?
NOFire AI is your causal intelligence platform for production reliability. It prevents incidents before they reach production and resolves the ones that do happen in minutes, not hours.The Problem
Every engineering team faces these reliability challenges: Root cause still depends on whoever’s on call. Incidents require senior SREs who know the system. Junior engineers struggle without tribal knowledge. Teams find risk post-release, not before. You discover your deployment was risky after it breaks production. Post-incident docs feel like forensic work. Hours spent reconstructing what happened across dashboards, logs, and git history. Reliability depends on who’s awake. Knowledge trapped in a few heads. When they’re unavailable, incidents take longer to resolve. Reliability reviews happen after production issues. By the time you assess impact, customers are already affected.About NOFire AI
NOFire AI solves these problems with Causal Intelligence - understanding not just what’s happening, but why it’s happening based on real cause-and-effect relationships in your infrastructure.Causal Intelligence & RCA
Get to root cause in minutes, not hours. No more dashboard hunting or dependency on senior engineers. Causal AI identifies why things break based on actual system relationships.
Proactive Reliability
Know deployment risk before you merge. Understand which services are affected and get the right deployment strategy (standard, canary, staged) before code reaches production.
Embedded SRE Expertise
Your systems’ knowledge accessible to everyone. New engineers get context instantly. No more waiting for the one person who knows how things work.
Predictive Reliability (Shift Left)
Catch reliability issues during development, not after deployment. Assess impact and risk while code is still in your IDE.
How NOFire AI Works
NOFire AI combines two AI approaches to deliver accurate, context-aware reliability intelligence:The Foundation: NOFire AI Edge
NOFire AI Edge is a lightweight Kubernetes agent that monitors your infrastructure and builds a causal graph - a real-time map of your services, dependencies, and how they affect each other. The causal graph understands:- Which services depend on each other
- How changes propagate through your system
- What infrastructure changes happened and when
- Service health patterns and anomalies
Causal AI Layer
Analyzes the causal graph to understand cause-and-effect relationships, not just correlations. When an incident happens, it traces through actual dependency chains to find root causes. For deployments, it analyzes the blast radius based on real service relationships.GenAI Layer
Provides a natural language interface on top of causal understanding. Ask questions in plain English, get answers backed by causal analysis. Works in your IDE, Slack, or web dashboard. The flow: NOFire AI Edge → Causal Graph → Causal AI → GenAI Interface → YouKey Capabilities
Deployment Risk Assessment
Analyze code changes to understand impact and risk before deployment. Get clear deployment strategy recommendations based on your actual infrastructure.
Root Cause Analysis
Trace incidents to actual root causes using causal relationships. Understand what broke and why within minutes.
Alert Triage & Impact Analysis
Automatically assess which alerts matter and what business impact they have. Cut through noise to focus on real problems.
Operational Investigations
Query production in natural language. Understand service relationships, see recent changes, investigate incidents without dashboard hunting.
Dependency Mapping
Automatic discovery of service dependencies from your Kubernetes infrastructure. Always up-to-date, no manual configuration.
Change Intelligence
Track infrastructure and application changes over time. Correlate incidents with deployments, config changes, and infrastructure updates.
How to Use NOFire AI
NOFire AI integrates directly into your workflow:NOFire AI Edge (Foundation)
NOFire AI Edge (Foundation)
The Kubernetes agent that powers everythingDeploy NOFire AI Edge in your Kubernetes clusters to build the causal graph. This is the foundation that enables:
- Causal root cause analysis
- Proactive deployment risk assessment
- Automatic dependency discovery
- Change tracking and correlation
MCP Integration (IDE)
MCP Integration (IDE)
Connect NOFire AI to your IDE via Model Context Protocol (MCP). Get deployment risk analysis and query production directly in Cursor, Claude Desktop, or any MCP-compatible tool.Best for:
- Pre-deployment risk assessment while coding
- Production operational queries during development
- Incident investigation from your IDE
Slack Bot
Slack Bot
Embed NOFire AI in Slack for collaborative incident response. Mention @NOFireAI bot to investigate alerts, query production, and get team-wide visibility.Best for:
- Team collaboration during incidents
- Alert triage and analysis
- Operational knowledge sharing
Web Dashboard
Web Dashboard
Full-featured dashboard for incident investigations, deployment analysis, session history, and configuration management.Best for:
- Detailed incident investigations
- Configuration and integration setup
- Historical analysis and reporting
Observability Stack Integration
Observability Stack Integration
Connect your existing observability tools (Grafana, Prometheus, Loki, Tempo, Datadog) to enrich investigations with telemetry data.Setup: Provide API tokens and data source URLs. Read-only access required.Note: NOFire AI Edge is recommended for full causal intelligence. Observability integrations alone provide telemetry access but not dependency mapping.
Getting Started
1
Deploy NOFire AI Edge
Install the Kubernetes agent to build your causal graph. This is the foundation for all NOFire AI capabilities.Install NOFire AI Edge →
2
Connect Observability Tools (Optional)
Integrate with Grafana, Prometheus, Loki, or other tools to enrich investigations with logs, metrics, and traces.Browse integrations →
3
Choose Your Interface
Access NOFire AI from:
- Your IDE via MCP →
- Slack for team collaboration
- Web Dashboard for full investigations