WHAT IF...

any engineer on any team could handle any issue anywhere

IN YOUR TECH STACK?

AN AUTOMATION PLATFORM FOR

DEVELOPER SELF-SERVICE

AT FORTUNE 10 SCALE

AN AI-SRE PLATFORM FOR

Incident Response

AT FORTUNE 100 SCALE

The only AI-SRE platform that helps reduce observability costs

Background agents run LLM-optimized scripts ("tools") to collect data from your environment and turn it into insights.

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It feels like using ChatGPT...

...but it uses tools to fetch real-time answers from infrastructure, platform, applications, data,
logs, alerts, automation, cost, standard operating procedures, runbooks,...

ChatGPT takes a question and searches the web in the background, using the results to generate an answer.

RunWhen takes a question and runs LLM-optimized scripts ("tools") in the background, using the output to generate an answer.

Your first thousand tools in minutes

Our installer configures thousands of tools from our library for your environment.
Production ready out of the box.

any engineer can vibe code a tool

every engineer can answer a question

In addition to thousands of tools out of the box, our FDEs will help your team write 30 new tools in 30 days that integrate with your applications, data and processes.

Getting started with

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FOREGROUND AGENTS

Ask questions for root cause analysis, configuration, cost, remediation and other topics.

The platform will suggest the tools to run.

BACKGROUND AGENTS

Agents are constantly running tools in the background, processing the results into insights.

Ask about what happened yesterday, or connect insights to tools for notification, remediation, etc.

30 NEW TOOLS IN 30 DAYS

Build new tools that run in the foreground or background to add data you want to each agent's context window.

You are in control.

THUMBS UP?

Get AI-enhanced feedback from your users, showing where new tools should be prioritized for investigation, remediation, reporting or other uses.

Product management built in by design.

3,432
AI SRE Tools in the library for cloud infrastructure, platform and applications
86,524
Autonomous AI Troubleshooting Sessions, saving time and reducing MTTR
2,562
Hours of downtime saved by AI-assisted triage, root cause analysis and remediation

Can my team deploy ?

We work in the strictest financial services, health care and government environments in the industry

Green check
Hybrid SaaS and self-hosted deployment options. Air-gapped? No problem.
Green check
Bring-your-own-LLM-endpoint. Best-in-class enterprise data security guarantees.
Green check
Tested on all major clouds and various on-prem infrastructure configurations.

Need help with a business case?

Our team can help you build a business case for production environments, non-production environments, or both.

We typically do this after a 30 day PoV so we can use real production data in your environment.

Developer Productivity

“Developers ask us 10 questions per day. Each one implies they were blocked for about an hour. If they ask RunWhen AI Assistants, we get back 10 developer hours per day.”

Reliability vs Cloud Cost Trade-Offs

“RunWhen SLOs say this service is healthy 99.99% of the time. What if we drop to a 98% target and scale replica counts down by half?”

Scale Faster Than Headcount

“We have multiple cloud environments scaling up… I need either one more person per cloud environment or one person with ten RunWhen AI Assistants to cover both.”

Developer Self-Service

“Developers ask us 10 questions per day. Each one implies they were blocked for about an hour. If they ask RunWhen AI Assistants, we get back 10 developer hours per day.”

Reduce Downtime

“RunWhen can do a minor incident RCA in 2 minutes that typically takes about an hour. Assuming one minor incident per month…”

Reduce Observability Spend

“We can gradually cut back our observability bills in non-prod environments as teams get used to asking RunWhen AI Assistants questions instead of using dashboards.”

Reliability Program Value

“In between incidents, we followed the RunWhen Reliability To-Do list on our tier-1 services. Our top SLOs went from 96% to 98%, on track for 99% before year end...”

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