It is an AI-powered incident resolution platform designed to help on-call engineers and Site Reliability Engineers (SREs) reduce Mean Time to Resolution (MTTR) by up to 90%.
It is an AI-powered incident resolution platform designed to help on-call engineers and Site Reliability Engineers (SREs) reduce Mean Time to Resolution (MTTR) by up to 90%. The platform addresses challenges such as constant incident firefighting, SLA breaches, and the high costs of downtime by automating and streamlining the incident resolution process. Built by experienced SREs, it leverages AI to uncover root causes, reduce investigation time, and minimize the need for manual intervention in war rooms.
The platform integrates seamlessly with existing infrastructure and observability tools, providing guided incident resolutions without requiring intrusive agents. It supports various large language models (LLMs), including OpenAI, MistralAI, and Lama3.2, and allows users to bring their own LLMs. It scales effortlessly to thousands of nodes, ensuring compatibility with growing infrastructure needs. Additionally, it prioritizes data privacy by scrubbing personally identifiable information (PII) and sensitive data before AI processing, ensuring no data is stored or used for AI training.
NOFire.ai helps teams combat alert fatigue, reduce burnout, and shift from reactive to proactive work by automating repetitive tasks and providing actionable insights. It is particularly effective in cloud-native environments, leveraging Kubernetes-native observability, OpenTelemetry, and AI-driven root cause analysis to resolve incidents faster. Customers report significant improvements in SLA compliance and incident resolution efficiency, enabling them to focus on innovation rather than firefighting. The platform also offers a knowledge graph for incident investigation and supports evolving SRE archetypes, aligning with modern reliability engineering practices.
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It is an AI-powered incident resolution platform designed to help on-call engineers and Site Reliability Engineers (SREs) reduce Mean Time to Resolution (MTTR) by up to 90%.
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