Back to vendors

Wild Moose

Q: Who is Wild Moose for?

engineering teams, SRE teams, on-call developers, enterprise

Visit site

SRE / DevOps agentindependentVerified 2026-07-22

AI first responder for production incidents that investigates across observability signals and surfaces root cause in under a minute.

Wild Moose is an AI SRE that acts as a first responder for production incidents. Triggered by an alert, it orchestrates a system of expert agents customized to the company that run investigations in parallel across logs, metrics, traces, recent code changes and past incidents, then delivers evidence-backed root causes and recommended next steps to Slack or Microsoft Teams, often in under a minute. It codifies tribal knowledge into dynamic, self-updating playbooks that validate against outcomes. Wild Moose is SOC 2 compliant with in-memory processing and an on-premise option, is backed by Y Combinator and raised a 7 million dollar seed round, and counts Wix, Redis, GoFundMe and Lemonade among early users.

Vendor details

Canonical URL

https://www.wildmoose.ai

Company status

independent

Use cases & customers

Primary use cases

automated root cause analysisincident triageself-updating playbooksMTTR reduction

Target customers

engineering teamsSRE teamson-call developersenterprise

Deployment options

SaaS (in-memory, data stays in client network)on-premise

Integrations

Observability and collaboration tools including Datadog, New Relic, Snowflake, Cloudflare, Slack and Microsoft Teams, via API with no agent install.

Sources & related URLs

Research sources

https://www.wildmoose.ai https://github.com/agamm/awesome-ai-sre

Capability coverage

9.5 / 14 capabilities · 68%

Integrations & Tool CallingIntegrates with existing observability and collaboration tools such as Datadog, New Relic, Snowflake and Cloudflare via APIs with no agent installation, Wild Moose site 2026-07-22	Full
Workflow OrchestrationOrchestrates a system of expert agents customized to the company, running end-to-end investigations in parallel based on real-time signals, Wild Moose site 2026-07-22	Full
Knowledge Grounding & RAGLearns the customer's infrastructure, investigation patterns and edge cases and codifies tribal knowledge to gather context across fragmented tools for evidence-backed root cause, Wild Moose site 2026-07-22	Full
Human Oversight & GuardrailsActs as a first responder that investigates and recommends next steps rather than auto-remediating, leaving mitigation actions to engineers, Wild Moose site 2026-07-22	Full
Security, Identity & GovernanceSOC 2 compliant with in-memory processing and end-to-end encryption, and customer data is never retained outside the client's network, Wild Moose site 2026-07-22	Full
Observability & AuditabilityProduces explainable, evidence-backed root cause summaries but layers over existing observability tools rather than providing its own telemetry, Wild Moose site 2026-07-22	Partial
Memory & State PersistenceConverts institutional knowledge into dynamic, self-updating playbooks and runs a system model that verifies insights against outcomes and learns from each incident, Wild Moose site 2026-07-22	Full
Deployment & Data ResidencySaaS with in-memory processing that keeps data inside the client's network, plus an on-premise version for enterprises that need data to stay in their own infrastructure, Wild Moose site 2026-07-22	Full
Prebuilt Agents, Templates & PacksA system of expert agents customized to each company and self-updating playbooks rather than a fixed prebuilt library, Wild Moose site 2026-07-22	Partial
Triggers & Channel CoverageTriggered by alerts, the agent autonomously kicks off a root cause investigation and delivers findings to Slack or Microsoft Teams in real time, Wild Moose site 2026-07-22	Full
Model Flexibility & RoutingNo customer facing model choice or routing documented, Wild Moose site 2026-07-22	Unable to verify
APIs, SDKs & MCP ExtensibilityConnects to observability tools through their APIs; no public API, SDK or MCP extensibility surface is documented, Wild Moose site 2026-07-22	Unable to verify
Testing, Debugging & OptimizationContinuously improves through feedback loops and validates its playbooks against incident outcomes, a self-optimization loop rather than a customer-facing evaluation harness, Wild Moose site 2026-07-22	Partial
Browser & Computer UseOperates through tool APIs rather than browser or computer interface control, Wild Moose site 2026-07-22	Unable to verify

Pricing

Contact sales; enterprise with on-premise option

Contact onlyHigh variable cost

What is public

No public pricing; enterprise and on-premise deployments via sales.

Variable cost rationale

No public pricing; enterprise and on-premise deployments are quoted by sales.

Sales call required

Yes — required for paid access

Free / trial

Beta / demo

Verified 2026-07-22

Data confidence: medium