IncidentFox — Engineering Analytics Platform
Engineering AnalyticsLayer 4Open SourceFounded 2025|San Francisco, CA|2-10
Visit websiteWhat is IncidentFox?
IncidentFox is an open-source AI SRE platform that automatically investigates production incidents end-to-end. Part of YC W2026, it was founded by Chiehmin (Jimmy) Wei (ex-Roblox, ex-Meta FAIR) and Long Yi (ex-Roblox), both with experience building distributed systems serving millions of users.
When an alert fires, IncidentFox kicks off an investigation within Slack threads — querying logs, checking pod status, correlating with recent deployments — and delivers root cause analysis with executable fix scripts. The platform ships with 300+ prebuilt integrations covering Kubernetes, AWS, Grafana, Prometheus, Datadog, Elasticsearch, PagerDuty, and GitHub. It auto-discovers each team's stack and generates needed integrations, reducing setup from months to under a day.
The system uses multi-agent orchestration routing specialist agents to sub-problems, intelligent log sampling (statistical analysis before targeted fetching), and 3-layer alert correlation (temporal, topology, semantic) that reduces alert noise by 85-95%. It supports 24+ LLM providers and can be deployed as SaaS, on-prem/VPC, or fully self-hosted. The core is Apache 2.0 licensed with full feature parity on the free tier.
Key Features
- ✓Auto-incident triage
- ✓Slack/Teams integration
- ✓Log querying
- ✓Deploy correlation
- ✓Root cause identification
- ✓300+ tool integrations
Pros & Cons
Pros
- +Genuinely open source (Apache 2.0) with full feature parity — no artificial limitations on free tier
- +300+ prebuilt integrations with auto-discovery reducing setup from months to under a day
- +Intelligent log handling with statistical sampling solving the LLM context window limitation
- +85-95% alert noise reduction through 3-layer temporal, topology, and semantic correlation
- +Flexible deployment across SaaS, on-prem, and self-hosted with 24+ LLM provider support
Cons
- -Security layer (sandbox isolation, credential proxy) uses Business Source License, not fully open source until 2030
- -On-call engineers need trust calibration before relying on autonomous investigation
- -Very early stage with 2-person team and SOC 2 audit still in progress
- -Slack-centric UX may not suit teams preferring dedicated incident management dashboards
IncidentFox Pricing
Free trial available
Open SourceFree
- ✓Full AI features
- ✓All 300+ integrations
- ✓Apache 2.0 license
- ✓Self-hosted
EnterpriseCustom
- ✓Multi-team RBAC
- ✓SSO/OIDC
- ✓SOC 2 compliance
- ✓Approval workflows
- ✓Dedicated support
Cloud (SaaS)Custom
- ✓Managed hosting
- ✓30-minute setup
- ✓All enterprise features
Common Use Cases
SRE and DevOps teams
- •Incident response automation
- •Root cause analysis
- •On-call support
- •Deploy monitoring
Using IncidentFox with Respan
IncidentFox investigates production incidents across infrastructure, while Respan monitors AI/LLM-specific issues. Together they provide comprehensive incident response covering both traditional infrastructure and AI application layers.
- ✓Correlate LLM performance issues detected by Respan with infrastructure incidents in IncidentFox
- ✓Surface AI-related production issues through Respan for IncidentFox to auto-investigate
- ✓Use IncidentFox alert correlation alongside Respan LLM monitoring for full-stack visibility
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Last verified: March 27, 2026