Modern IT environments generate a high volume of alerts from various observability tools, overwhelming on-call engineers and leading to delayed incident resolution. Investigating these alerts requires manually querying data across multiple systems, resulting in prolonged mean time to investigate (MTTI) and increased operational costs. This complexity often leads to escalations and ticket reassignments, further hindering efficiency.

Doctor Droid is an AI-assisted Site Reliability Engineering (SRE) platform designed to automate incident investigations and accelerate remediation. The platform integrates with existing observability tools, leveraging AI to analyze alerts and surface relevant data for faster root cause identification. By automating the data querying process, Doctor Droid significantly reduces MTTI, enhances on-call developer efficiency, and minimizes escalations. The platform is trained on an organization's specific context to provide accurate and actionable insights.

Automated querying of data from observability tools in response to alerts

AI-driven root cause analysis and identification of remediation steps

Customizable runbooks for automated execution of common troubleshooting tasks

Alert analytics to identify and reduce alert fatigue

Integration with Slack for real-time notifications and collaboration

Single pane of glass for managing and triaging alerts from multiple sources

Automated postmortems and RCAs

The primary target audience includes Site Reliability Engineers (SREs), DevOps engineers, and platform engineers responsible for maintaining the reliability and performance of complex IT systems.