
Technology
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DevOps Automation
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YC W26
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Valuation:
Undisclosed

Last Updated:
March 24, 2026

Builds an open-source AI SRE agent that autonomously triages, coordinates, and fixes production incidents using multi-agent orchestration, hierarchical RAG retrieval, and anomaly detection across 24+ LLM providers.
IncidentFox has publicly launched its open-source core platform, RAPTOR hierarchical retrieval system, Slack-native debugging integration, and support for 24+ LLM providers with BYO API keys. Multi-strategy RAG (RAPTOR + Knowledge Graph + HyDE + BM25 + Neural Reranking) achieving 74% Recall@10. Specialist multi-agent orchestration for Kubernetes, AWS, and other infrastructure domains.
GitHub activity signals rapid iteration on automated runbook execution and deeper observability platform integrations (Datadog, Grafana, PagerDuty). Prophet-based time-series analysis and multi-layer alert correlation. Strong indicators of a plugin/extension marketplace strategy leveraging open-source community. Expansion toward multi-channel collaboration beyond Slack (Teams, Discord, custom webhooks).
Uses RAPTOR hierarchical retrieval combined with multi-strategy RAG to provide AI agents with deep, multi-resolution context from logs, docs, and past incidents for accurate root cause analysis.
It's like giving your on-call engineer a photographic memory of every past incident, runbook, log file, and Slack thread so they instantly know what's wrong and how to fix it.
It's like having a librarian who not only knows every book in the library but has already read them all, written cliff notes at five different detail levels, and can hand you exactly the right page before you finish asking your question.
Deploys specialist AI agents for distinct infrastructure domains (Kubernetes, AWS, databases, networking) that collaborate autonomously to investigate and resolve complex cross-system production incidents.
It's like having a team of specialist doctors—one for the heart, one for the lungs, one for the brain—who huddle together instantly when a patient arrives in the ER and agree on a diagnosis in seconds.
It's like assembling the Avengers every time your website goes down, except each superhero specializes in a different part of your infrastructure and they never need coffee breaks.
Applies Meta's Prophet time-series algorithm with multi-layer alert correlation and continuous learning to detect infrastructure anomalies early, reduce alert noise, and surface only actionable, correlated incident signals.
It's like a smoke detector that not only smells smoke but also checks the stove, the wiring, and the neighbor's barbecue before deciding whether to wake you up.
It's like having a weather forecaster who doesn't just tell you it might rain, but cross-references the barometer, satellite imagery, and your neighbor's arthritic knee before confidently telling you to grab an umbrella.
IncidentFox combines open-source community-driven extensibility with a proprietary multi-strategy RAG system (RAPTOR + Knowledge Graphs) and multi-agent orchestration, enabling context-rich autonomous incident resolution that learns continuously from every Slack thread, codebase change, and documentation update.