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DD

Doctor Droid

Doctor Droid is an AI-assisted Site Reliability Engineering (SRE) platform that automates incident investigations by querying data from your observability tools. It reduces Mean Time To Investigate by 85% and enhances on-call developer efficiency by 6.5 times, minimizing escalations and ticket re-assignments.

San Francisco, United States · HQ
Founded 202272K+ followers
Updated 21 months ago

Funding

$500K 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.

Funding rounds are not available yet.

Founders

Product

Problem

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.

Solution

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.

Target Audience

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.

Features

  • 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
This profile is AI-generated and may contain inaccuracies.