Business Description

Overview PagerDuty, Inc. (“PagerDuty,” “we,” “us” or “our”) transforms critical work for modern business by building operational resilience, reducing risk, improving customer experience, and driving operational efficiency across digital operations. As a global leader in digital operations management since 2009, PagerDuty helps enterprises manage the complex web of infrastructure, applications, and systems that power today's digital experiences. The PagerDuty Operations Cloud sits at the center of the enterprise technology stack as a system of intelligence and action, ingesting signals from over 700 integrations—including monitoring, observability, security, customer service, and development tools—to orchestrate the right response across people, machines, and software. Built for the modern era of artificial intelligence (“AI”), PagerDuty empowers customers to maximize the value of their AI investments through agentic workflows, AI-powered automation, and intelligent orchestration that accelerates incident detection and resolution while enabling teams to focus on innovation rather than firefighting. In today's environment, every business is fundamentally a digital business. Whether in retail, financial services, healthcare, telecommunications, or supply chain logistics, modern commerce depends on increasingly complex networks of digital infrastructure, cloud services, applications, and distributed teams that operate in an always-on world. This complexity continues to accelerate as organizations adopt AI-driven systems and integrate artificial intelligence across their operations. Customer expectations have never been higher. Incidents are measured not just in lost revenue but in damaged brand reputation and customer trust. Organizations face mounting pressure to deliver always-on digital experiences, resolve issues proactively before customers are impacted, and innovate rapidly without proportionally increasing operational costs or headcount. The ability to anticipate, orchestrate, and resolve time-sensitive, critical, and unplanned work before it escalates has become a strategic imperative and competitive differentiator. Since our founding in 2009, PagerDuty has evolved from a single product focused on on-call management for developers into a comprehensive, multi-product operations cloud platform that spans the entire enterprise. Today, our platform breaks down organizational silos across development, IT operations, security, customer service, and business operations, reaching technical practitioners and executive stakeholders alike. Our platform ingests and analyzes digital signals from virtually any software-enabled system or device across our customers' technology estates. Leveraging advanced AI and machine learning capabilities, we correlate, process, predict, and remediate both incidents and opportunities in real time. This intelligence powers our core capabilities in incident management, bringing together the right people with the right context and recommended actions so they can resolve issues in minutes or seconds, from anywhere. We have made significant investments in generative AI to fundamentally transform how organizations manage critical work. Our AI capabilities enable teams to work smarter and faster, automating routine tasks, providing intelligent recommendations, and accelerating time to resolution. These innovations are increasingly central to our value proposition as customers seek to do more with existing resources while managing growing operational complexity. Over more than a decade, we have built one of the industry's most comprehensive integration ecosystems, with over 700 direct integrations spanning monitoring tools, cloud platforms, collaboration systems, ITSM solutions, and business applications. We also support the Model Context Protocol (“MCP”), enabling seamless integration with AI agents and large language model-powered tools to extend our platform's capabilities into emerging AI workflows. This deep integration fabric allows our customers to gather and correlate digital signals from across their entire technology stack – both modern cloud-native and legacy systems – without the friction of context switching or manual data aggregation. These same integrations enable powerful workflow automation, connecting technical operations with popular collaboration tools and business applications to drive coordinated responses and accelerate resolution.…