
Fix incidents faster with an AI
First-Responder
Group the noise, find root causes across logs/metrics/Kubernetes/code, and manage on-call: without per‑user fees
Outcomes That Matter
60-80% alert noise reduction
60–80% alert noise reduction via intelligent grouping
Instant Investigations for alerts
Minutes to first RCA steps via automated investigations
AI-Native Pricing for on-call management
No per‑user fees; volume-based pricing
How DroidAgent works
30 minutes to give an AI upgrade to your alert management experience.
Sign Up
Create your DrDroid account and add your team


Connect Tools
Connect tools with read‑only API keys
AI Grouping & Investigations
Let the AI group alerts and investigate
(no configurations needed)


Review Bugfixes & Approve Auto-remediations
Approve automations or auto‑remediations
Human-in-the-loop features for on-call teams
Capabilities built for the moments DroidAgent can’t handle, yet.
On-Call Rotations
Team-based schedules with L1/L2/custom levels and quick temporary hand‑offs
Alert Routing
Route alerts to the right team/service using tags, severity rules, and your service catalog
Escalation & Notification Policies
Set time‑based escalations and notify via SMS, phone, Slack, or Teams
Inbound Call Routing
Dedicated inbound numbers that create and route incidents directly to the right team
Swaps & Temps
Manager‑controlled (or permitted self‑serve) shift swaps and short‑term coverage
Metrics & Analytics
See timelines, acknowledgments, MTTR/MTTD, and daily reports with configurable insights
An Agent Trained to use YOUR monitoring tools
DrDroid integrates with your entire monitoring and infrastructure stack, ensuring it can get started on day-0 without any changes

Built on Open Source trusted by Enterprises.
Doctor Droid runs on PlayBooks, our open source runbook automation engine powering SRE & platform teams at scale — including Palo Alto Networks.

"DrDroid’s PlayBooks helped our on-call teams fix issues faster without always needing senior engineers. Clear steps, easy to follow, and way faster than building our own."
Senior Staff Engineer, Palo Alto Networks
Ready for use in Production
See how teams are leveraging DrDroid
DroidAgent is trained on your monitoring tools, company context & architecture
Knowledge that helps engineers & agents navigate faster
Automated Discovery of architecture
Service Topologies and correlations are automatically identified by our platform within your architecture.
Monitoring tools
integration
Leverage intelligence without changing behaviour or tools.
50+ integrations, with proxy service to connect to your tools within your VPC.
Wiki Integration
Don't start from scratch. Make the agent intelligent with your context.
Connect with Confluence, Github KBs or documents directly.
And contribute back meaningfully, and reliably
Update Knowledge Base
Auto-updates knowledge base from learnings of everyday issues and conversations.
Alert Configuration Recommendations
Gives suggestions on thresholds, missing alerts and noisy ones over time.
Handles the toil
Can take care of sharing updates with the team, creating documents and acknowledging trivial issues and false positives.
Frequently Asked Questions
Everything you need to know about DrDroid
Most teams connect core tools and see grouped incidents and first AI investigations within 30–60 minutes using read‑only API keys.
We connect with 50+ tools including Grafana, Kubernetes, Datadog, Signoz, New Relic, Elastic, GitHub (commits/actions), Slack and Microsoft Teams, AWS/Azure, ticketing via webhooks, and more. Read the full list here. We guide least‑privilege, read‑only setups by default.
We build a context engine from your integrations and documents—service catalog, monitoring dashboards, logs, cloud metadata, and optional code. The AI uses this knowledge to group alerts, investigate, and propose remediations.It’s designed to be low-lift. Once connected to your existing alerts, monitoring tools, and runbooks (all via API keys/tokens), Dr. Droid trains itself automatically using the tool knowledge and documentation. No manual training is required.
Yes. You can give feedback to the agent (👍/👎) once you start using it and it'll improve continuously. The system learns from this to improve future outcomes.
You control scope and approvals. Require human sign‑off where needed, and audit every action. Start with “suggest” mode, then graduate to auto‑remediation for known‑safe scenarios.
Additionally, we have deployed guardrails between the agent and the tools to ensure safety from bad actors.
Create team‑based rotations with L1/L2/custom levels, set notification and escalation policies, and allow temporary shift hand‑offs. Notifications can go to SMS, phone, Slack, or Teams.
Use teams, services, and tags to scope knowledge and routing. The AI prioritizes local context first, then expands radially based on service/team relationships.
On-call capabilities that you always wanted.
Reduce onboarding time for engineers from months to days & enable debugging without escalations

















































