Sherlocks AI is an AI-powered incident investigation platform that automatically analyzes alerts from existing monitoring tools to identify root causes and suggest fixes. It helps SRE and DevOps teams reduce mean time to resolution by turning raw alerts into actionable insights, with all interactions encrypted end-to-end.
Funding
Funding not disclosed
Founders
Product
Problem
When alerts fire in production, the first alert rarely names the actual cause, leaving on-call engineers to manually dig through logs, metrics, and traces to diagnose what went wrong. This investigation phase is the biggest bottleneck in incident response, often taking 40 minutes or more per incident and contributing to engineer burnout, especially for teams with noisy alerts and incomplete runbooks.
Solution
Sherlocks AI automates the investigation phase of incident response by receiving alerts from existing monitoring tools and dispatching AI agents to analyze the underlying telemetry data. The platform identifies the root cause of issues—such as an unbounded query pulling 22.36 million rows into a 2.5 GB memory limit—and attaches the specific fix, like streaming the query with `.iterator()`, directly to the alert. It integrates with cloud providers, Kubernetes, Prometheus, Datadog, New Relic, Sentry, ELK, Loki, databases, queues, CI/CD, and version control systems, and delivers findings through Slack, enabling engineers to trigger follow-up investigations without leaving their communication tools. All interactions, from API calls to stored information, are fully encrypted for end-to-end protection.
Target Audience
Primary customers are SRE and DevOps teams who need to reduce time-to-root-cause for production incidents, particularly those with on-call rotations that are struggling with alert fatigue and manual investigation work.
Features
- AI agents automatically investigate alerts and provide root-cause analysis with actionable fix suggestions attached directly to the alert
- Broad integration list covering cloud providers, Kubernetes, Prometheus, Datadog, New Relic, Sentry, ELK, Loki, databases, queues, CI/CD, and version control
- Slack-native workflow that lets engineers query stack-specific and historic information and trigger follow-up investigations directly from chat
- All 16+ AI agents included in every plan, from free tier through Enterprise
- Fully encrypted interactions for end-to-end protection, both in transit and at rest
- Enterprise deployment options with private hosting, dedicated Field Engineer for setup, and named support engineer with SLA