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NOFire AI

Incident Resolution AI for SREs, achieving up to 90% faster resolution on cloud-native systems.

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Introduction

NOFire AI

NOFire AI is an innovative Incident Resolution AI designed specifically for Site Reliability Engineers (SREs) and on-call engineers managing cloud-native production systems. By thinking like an SRE, it uncovers true causality behind incidents, reducing Mean Time to Resolution (MTTR) by up to 90%.

Key Features
  • Causal AI: Moves beyond correlation to identify root causes of incidents.
  • 90% Faster MTTR: Significantly reduces incident resolution time, preventing costly downtimes and SLA breaches.
  • Integration with Tools: Seamlessly integrates with platforms like Grafana, Slack, Datadog, Prometheus, AWS, and Kubernetes.
  • Data Privacy: Ensures safe data handling by not storing user data for AI training and scrubbing PII before processing.
  • Scalability: Supports infrastructure growth, scaling to thousands of nodes without intrusive agents.
Use Cases
  • Incident Management: Automates alert responses and reduces incident volumes for SaaS companies and tech enterprises.
  • On-Call Stress Reduction: Eases the burden on on-call teams by minimizing firefighting and burnout.
  • Reliability Engineering: Enhances observability and reliability through AI-driven insights and agentic workflows.
Unique Selling Points

NOFire AI stands out by combining Causal AI with Agentic AI to not only explain incidents but also resolve them efficiently. Built by battle-tested SREs, it addresses real-world pain points like alert fatigue, clueless investigations, and high downtime costs, making it a vital tool for modern digital infrastructure teams.

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