PagerDuty provides an AI-first operations platform designed for managing mission-critical work across the modern enterprise. The platform offers end-to-end orchestration for incident management, AIOps for reducing alert noise, and automation capabilities to accelerate enterprise workflows. This unified system helps teams resolve issues faster, build operational resilience, and improve customer experiences.
Funding
$350M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+5Founders
Product
Problem
Enterprises with complex, distributed systems often experience fragmented alert streams, manual incident triage, and prolonged downtime because existing tools lack unified orchestration and intelligent noise filtering. This results in higher operational risk, reduced service reliability, and increased strain on on‑call engineers.
Solution
PagerDuty delivers an AI‑first Operations Cloud that centralizes incident detection, routing, and resolution across the entire technology stack. The platform applies machine‑learning models to suppress false alerts and surface the most critical incidents, while generative AI agents can draft runbooks and suggest remediation steps. Integrated automation lets teams trigger remediation scripts, update status pages, and close tickets without human intervention, accelerating mean time to resolution. A unified web dashboard provides real‑time visibility, SLA tracking, and post‑incident analytics for continuous improvement. Native support for over 700 third‑party services enables seamless integration into existing CI/CD, monitoring, and collaboration ecosystems. Enterprise‑grade security and compliance controls ensure data protection and auditability across regulated industries.
Target Audience
Primary customers are DevOps, Site Reliability Engineering, and security operations teams in mid‑size to large enterprises that require reliable, automated incident management across multi‑cloud and on‑premise environments.
Features
- End‑to‑end incident orchestration with automated routing, escalation policies, and on‑call schedule management
- AIOps engine that leverages supervised and unsupervised ML to de‑noise alerts and prioritize incidents in real time
- Generative AI agents that auto‑populate incident tickets, suggest runbook actions, and summarize root‑cause analyses
- Automation workflow builder that executes remediation scripts, updates configuration items, and posts to status pages at machine speed
- Public and private status page service for transparent incident communication and stakeholder updates
- Over 700 pre‑built integrations and extensible APIs/SDKs for monitoring, ticketing, chat, and cloud platforms
- Role‑based access control, end‑to‑end encryption, and compliance certifications (SOC 2, ISO 27001, GDPR)
- Centralized analytics suite with SLA dashboards, MTTR reporting, and post‑mortem collaboration tools