On-Call Copilot

End Alert Fatigue. Solve Incidents.
All Inside Slack.

The On-Call Copilot that transforms your Slack into your all-in-one incident command center.

Block 95% of noisy alerts
Cut MTTR by 75%
Save thousands of engineering hours yearly

Ready to transform your on-call experience?

Add to Slack

✓ Free to install • ✓ 2-minute setup • ✓ Works with existing tools

RobinRelay Product Demo - AI-powered alert memory in Slack
Live Product Demo

Watch RobinRelay instantly recognize recurring alerts and surface your team's past solutions

Trusted by industry veterans • 17 active channels • 25,000+ alerts processed

Gartner
Dynatrace
NVIDIA Inception Program
Automatiq
Works inside Slack
Choose your alert channel
Auto-summarizes context
Active in under 2 minutes

How RobinRelay Works

RobinRelay integrates seamlessly into your existing Slack workflow

What RobinRelay Does in Slack

RobinRelay listens to new alerts in your chosen Slack channel and replies under them with context from past investigations.

You can also DM Robin directly or @mention Robin in a thread to ask questions about past incidents.

RobinRelay's App Home shows heatmaps and summaries of your noisy alerts.

Getting Started

1

Install from Slack

Click "Add to Slack" and authorize the app in your workspace

2

Select Alert Channel

Go to RobinRelay's App Home to select the alert channel you want to monitor

3

Start Getting Responses

RobinRelay will now begin replying under new alerts with context and solutions

4

Ask Questions

Optional: DM Robin or mention it in a thread to ask questions about alerts

Why RobinRelay Needs These Permissions

channels:historyTo read alerts from your selected channel and analyze past discussions
chat:writeTo reply to alerts with context and respond to your questions
channels:readTo access channel information and join your selected alert channels
im:writeTo send you direct messages when you ask questions
app_mentions:readTo respond when you @mention Robin in channels or threads
users:readTo identify team members in alert discussions and responses

Every alert feels like "Haven't we seen this before?"

Platform engineers and SREs waste 60% of their time re-investigating known issues

Digging through Slack history

"I know we fixed this before..."

Escalating to senior engineers

Interrupting deep work for context

Outdated runbooks

Documentation that's never updated

Repeating investigations

Same root cause, different day

"The solution is buried somewhere in our 50,000 Slack messages..."

RobinRelay is Your AI-Powered Alert Memory
— Inside Slack.

AI Pattern Recognition

Advanced ML algorithms identify recurring alert patterns and link them to historical solutions

Intelligent Context Retrieval

AI searches through thousands of messages to surface relevant discussions and solutions

LLM-Powered Summaries

GPT models analyze past investigations and generate actionable next steps

AI-Driven Insights

Machine learning identifies trends and suggests proactive improvements

Stop re-solving the same problems

See how RobinRelay transforms every alert with instant team memory

Live Slack Integration

See exactly what your team will experience in Slack when RobinRelay responds to alerts

# alerts
42 members
Datadog
APP
2:14 PM
🚨 CRITICAL

[kubernetes] container payment-gateway failing

Host: prod-k8s-node-03 | Triggered: 2:14 PM

RobinRelay
RobinRelay
AI
2:14 PM
🧠I've seen this before!

This alert has occurred 37 times in the past 3 months.

Last successful fix:
Restart payment-gateway + clear Redis cache

Fixed by @sarah.kim on Oct 15, resolved in 8 min

"This alert has occurred 37 times."

Instant pattern recognition across your entire alert history

"Last fix: restart payment-gateway."

AI surfaces the exact commands and steps that worked before

"Discussed in 5 threads."

Never lose context from past investigations and team discussions

Built for Engineers Who Live in Slack.

Staff SREs

Senior engineers who need context fast

Platform Engineers

Infrastructure experts managing alerts

DevOps Managers

Leaders optimizing team efficiency

Postmortem Owners

Engineers documenting incidents

"This is what PagerDuty should have been."

Staff SRE

Early beta user

Built for Engineering Teams

Your Team's Alert Intelligence, Amplified

RobinRelay transforms how engineering teams handle alerts by bringing AI-powered memory directly into Slack

What is RobinRelay?

RobinRelay is a Slack-native AI assistant that helps SRE and DevOps teams manage alert noise, find past incident discussions, and respond faster. It works seamlessly with monitoring tools like Datadog, New Relic, and Grafana to provide intelligent context for every alert.

Works entirely within your existing Slack workflow
Uses advanced LLM technology for pattern recognition
Remembers solutions without requiring requiring documentation updates

Why Teams Love RobinRelay:

🧠

Smart Pattern Detection

AI identifies recurring alerts and links them to successful past solutions

💬

Instant Context Retrieval

Surfaces relevant discussions and solutions from your team's Slack history

📉

Noise Reduction

Dramatically reduces alert fatigue by providing immediate context and solutions

Lightning Setup

Get started in under 2 minutes with zero configuration required

Perfect for Engineering Teams Who:

Manage Complex Infrastructure

SREs handling Kubernetes, microservices, and cloud-native alerts

Live in Slack

Teams using Slack as their primary communication hub

Optimize Team Efficiency

Engineering managers looking to reduce MTTR and improve productivity

Need Quick Context

On-call engineers who need immediate access to historical solutions

Unlike traditional incident management tools, RobinRelay works entirely within Slack, where your team already collaborates. No context switching, no additional tools to learn — just intelligent alerts that remember your team's solutions.