IncidentOS
IncidentOS is a SaaS platform designed for engineering and operations teams to manage technical incidents more effectively than traditional CRMs. It enables structured logging of incidents with technical context, automatic system classification, and multi-tenant isolation at the API and database level. The platform leverages AI to analyze incident patterns, assign predictive risk scores, and provide explainable insights, helping teams prioritize and prevent failures before they escalate. It also offers proactive alerts for high-risk incidents and recurring patterns. IncidentOS integrates with common engineering tools such as SharePoint, Jira, Slack, PagerDuty, and webhooks, allowing teams to automate documentation and maintain a centralized, searchable incident history. It is built for scale with a multi-tenant architecture and requires no setup to start tracking incidents. Overall, IncidentOS transforms raw incident data into actionable insights, fostering a proactive approach to system reliability and operational excellence.
- Category
- Analytics
- Pricing
- Paid
Problem solved
Engineering teams often rely on CRMs not designed for technical incident tracking, leading to unstructured data and missed patterns. IncidentOS provides a purpose-built platform to log, classify, analyze, and predict incidents, enabling proactive failure prevention and improved system reliability.
Use cases
- Incident tracking for Site Reliability Engineering (SRE) teams
- Pattern detection and analysis of recurring operational issues
- Proactive failure prediction using AI-based risk scoring
- Automated alerts for high-risk incidents with context
- Centralizing and documenting incident history across tools
- Integrating incident management with SharePoint, CRM, and collaboration tools
Audience
- Developers
- ML Engineers
- Enterprise
- Startups
Pros
- Predictive risk scoring and failure detection
- Multi-tenant architecture with full tenant isolation
- Structured, contextual incident logging instead of free-text
- Seamless integrations with engineering toolchains
- Proactive alerts with explainable insights
Cons
- Paid pricing may be a barrier for small teams
- Cloud-only, no self-hosted deployment option
- Relatively new product with limited market track record
- Requires setup and integration effort to maximize value
- Dependence on AI predictions which may require tuning
Official website: https://saas-fault-tenant-frontend.onrender.com/
Canonical LambdaBase page: https://www.lambdabase.com/tools/incidentos