Wild Moose

What is Wild Moose?

Wild Moose is an AI assistant for on-call developers that pinpoints the root cause of production incidents. Through a conversational interface trained on your team’s environment, it takes over the work of sifting through logs and metrics — processing hours of observability data in seconds. Beyond identifying problems, it suggests practical fixes and untangles complex logs so the information you need is easy to find and understand.

Who created Wild Moose?

Yasmin founded Wild Moose with the goal of helping on-call developers resolve production incidents faster. Data security is a priority: customer data is never kept outside your network, and end-to-end encryption is offered. The company provides various plans to suit different needs and integrates with platforms like Slack and Datadog.

What is Wild Moose used for?

• Pinpoint incident sources: Identify where production incidents originate.
• Delegate data searches: Let the AI search through logs and metrics instead of doing it manually.
• Get actionable insights: Receive fix recommendations based on the data it analyzes.
• Simplify log analysis: Navigate complex logs more easily — Wild Moose processes unstructured data without prior preparation.
• Collaborate during incidents: Kick off incidents, share status updates, and get incident summaries through Slack.
• Deploy securely: End-to-end encryption, an on-premise deployment option, and no customer data stored outside your network.
• Integrate with existing tools: Works with Slack and Datadog, with more integration options on higher-tier plans.

Who is Wild Moose for?

Wild Moose is built for developers — particularly those on call — as well as teams and organizations that need to resolve production incidents quickly.