Wild Moose
Wild Moose is an AI tool designed to assist on-call developers in quickly identifying the source of production incidents. It offers a conve...
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What is Wild Moose?
Wild Moose is an AI-powered SRE copilot and first-responder that automatically investigates production incidents the moment an alert fires. It acts as an always-on AI team member that executes debugging practices instantly when something breaks, gathering logs, metrics, traces, recent code changes, and incident history to determine root causes and provide exact remediation steps in under one minute. Instead of creating another dashboard, Wild Moose surfaces results directly in Slack or Teams where engineers already work.
The platform orchestrates specialized AI micro-agents customized to each company to run reliable, end-to-end investigations. These debugging agents operate as a coordinated system, running investigations in parallel based on real-time signals. Wild Moose codifies tribal knowledge across fragmented observability tools, delivering evidence-backed root causes and recommended next actions. The AI learns your infrastructure, investigation patterns, and edge cases, then gets you to root cause faster with 90% accuracy within 3 weeks and an 80% decrease in MTTR.
Wild Moose is built for on-call developers, site reliability engineers (SREs), and AI-driven engineering teams in high-stakes environments who need to resolve production issues faster. It integrates seamlessly with existing observability, deployment, and ticketing tools including Datadog, PagerDuty, Slack, and Teams via APIs, requiring no agent installation or ongoing maintenance. The platform is secure by design with end-to-end encryption, read-only integrations, and optional on-premise deployment for enterprise customers.
Wild Moose pricing
Pricing model: Free
Wild Moose offers a tiered subscription model with three plans: a free plan for developers with limited alerts, a team plan for enhanced incident response (starter plan for small teams), and an enterprise plan with unlimited alerts and 24/7 support. Paid options start from $800/month with monthly billing frequency. The enterprise plan includes custom needs pricing, unlimited alerts, 24/7 direct support, and additional integrations. Exact pricing for team and enterprise plans requires contacting sales.
Wild Moose pros
- Automates root cause investigations in under 1 minute
- 80% decrease in MTTR (mean time to resolution)
- 90% accuracy achieved within 3 weeks
- Surfaces results directly in Slack or Teams
- No dashboard to manage - works in existing chat tools
- Orchestrates specialized AI micro-agents customized to your company
- Runs investigations in parallel based on real-time signals
- Codifies tribal knowledge into dynamic playbooks
- Continuously learns and improves with every incident
- Integrates with Datadog, PagerDuty, Slack, and Teams via APIs
- No agent installation or ongoing maintenance required
- Plug into current tech stack within minutes
- End-to-end user encryption at all times
- All integrations operate strictly in read-only mode
- Customer data not retained outside your network
- Data not used or stored for training purposes
- Optional on-premise deployment for enterprise security
- Handles unstructured data without prior preparation
- Conversational AI interface trained on your environment
- Provides actionable insights before alerts surface
Wild Moose cons
- Starting price around $800/month may be expensive for small teams
- Monthly billing frequency with no annual option mentioned
- Additional integrations only available for higher-tier plans
- Free tier has limited alerts restricting usage
- Requires connecting monitoring tools and data sources for setup
- Best suited for teams with existing observability stack
- Enterprise plan requires custom pricing negotiation
- No self-serve pricing visible - may require sales contact
- Learning period of 3 weeks to achieve 90% accuracy
Frequently asked questions about Wild Moose
What is Wild Moose and what does it do?
Wild Moose is an AI-powered SRE copilot and first-responder that automatically investigates production incidents when alerts fire. It autonomously engages with logs, metrics, and code to identify root causes and recommend fixes, helping engineering teams resolve outages faster. The platform delivers evidence-backed root cause summaries and actionable mitigations in under one minute directly in Slack or Teams.
How does Wild Moose integrate with my existing tools?
Wild Moose integrates across your stack via APIs with popular platforms including Datadog, PagerDuty, Slack, and Teams. It connects to your signals and tools to correlate signals and context into fast, accurate root cause analysis. All integrations operate strictly in read-only mode, and no agent installation or ongoing maintenance is required. You can plug Wild Moose into your current tech stack within minutes.
How quickly does Wild Moose provide root cause analysis?
Wild Moose provides alert enrichment and root cause analysis in under 1 minute. It automatically gathers and analyzes logs, metrics, traces, and code changes to produce explainable, evidence-backed root cause summaries in seconds, not minutes. The AI achieves 90% accuracy within 3 weeks of usage.
What is the MTTR reduction with Wild Moose?
Wild Moose delivers an 80% decrease in MTTR (mean time to resolution). Customer testimonials show actual reductions of 50% in MTTR, with teams resolving issues in minutes instead of hours. One customer reported 50% root cause accuracy above 80%.
Is Wild Moose secure for enterprise use?
Yes, Wild Moose is secure by design and built for the enterprise. Customer data is not retained outside your network, end-to-end user encryption is ensured at all times, data is not used or stored for training purposes, and all integrations operate strictly in read-only mode. There is also an option for on-premise deployment, limiting access to data within your network.
How does Wild Moose learn my environment?
Wild Moose learns your infrastructure, your investigation patterns, and your edge cases through continuous feedback loops and a system model that learns from each incident. It codifies tribal knowledge to gather context across fragmented observability tools. The company-aware AI diagnoses faster by understanding your specific systems and incidents, getting smarter with every incident through feedback loops.
What plans does Wild Moose offer?
Wild Moose offers three plans: a free plan for developers with limited alerts, a team plan (starter plan) for small teams with enhanced incident response, and an enterprise plan for organizations with custom needs that includes unlimited alerts and 24/7 support. Paid options start from $800/month with monthly billing.
Can Wild Moose work without preparing my data first?
Yes, Wild Moose can handle unstructured data requiring no preparation of data or monitoring tools prior to use. The tool integrates with your existing observability stack and begins investigating immediately after connecting your monitoring tools and data sources during onboarding.
How do debugging agents work in Wild Moose?
Wild Moose orchestrates a system of expert agents customized to your company. When an alert fires, an orchestrator dynamically selects and coordinates the right debugging agents based on alert context. Multiple specialized agents query your observability stack - metrics, logs, traces, code changes - gathering evidence simultaneously in parallel. Each agent combines deterministic data collection with AI-powered synthesis to complete in seconds, then posts a summary with root cause analysis directly in the alert thread.
Who should use Wild Moose?
Wild Moose is used by on-call developers, site reliability engineers (SREs), and AI-driven engineering teams in high-stakes environments. It's designed for teams who need to solve production issues faster and resolve outages quickly. Customer testimonials include Head of Server Engineering at Wix, SVP of Cloud Operations, and CTO at GoFundMe - all engineering leaders managing complex production systems.