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Sherlocks AI account with a paid subscription

Sherlocks AI

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Plans

Pro

  • Unlimited investigations
  • All sixteen-plus specialised AI agents included
  • Works in Slack and Microsoft Teams
  • Connects to your existing observability stack
  • Root cause analysis with remediation guidance in minutes
  • Email support
  • Cancel at any time

Enterprise

  • Unlimited investigations
  • All agents and the full integration suite
  • A dedicated field engineer from the vendor helps with setup
  • A dedicated support engineer with a response-time SLA
  • Custom dashboards and reporting shaped to your processes
  • SSO and SAML sign-in, audit logs, role-based access control
  • Air-gapped deployment option
  • An in-VPC language model, so data never leaves your perimeter
  • SOC 2 Type 2 certification and help clearing your security review

Plan contents as published by the vendor; seller prices arrive at launch.

What you get

A ready Sherlocks AI account with a paid subscription: connect a Slack or Teams channel, install the collecting agent inside your own network via Terraform, Helm or CloudFormation, and incident analyses start arriving. The first thing to establish is whose email and whose workspace the account uses: the seller's email means access can technically return to them along with the history of your investigations. Incident analyses expose how your production is built from the inside, so make sure you ask who else in that workspace can see them and whether stray members remain. Confirm how much of the paid period is left — only the email owner can renew the subscription.

About the service

An AI teammate for the on-call engineer that lives right in your Slack or Teams channel: when an alert fires, the platform dispatches a squad of sixteen-plus domain-specialised agents that investigate autonomously the way a seasoned on-call would — pulling up dashboards, querying observability tools, correlating signals across the stack and tracing the problem to its root cause. The sequence goes like this: the incident is mapped onto an infrastructure knowledge graph, hypotheses are formed, agents go after logs, metrics and traces, validate their findings and deliver a root cause analysis with remediation recommendations — typically in a couple of minutes rather than hours of manual digging. It connects to Datadog, New Relic, Prometheus, Sentry, Coralogix, Elasticsearch and Loki, to AWS, GCP and Azure, to Kubernetes, PostgreSQL, MySQL, MongoDB, Redis, Kafka and RabbitMQ, and to GitHub Actions and Jenkins. The data-gathering agent, Watson, runs inside your own VPC with strictly read-only permissions and installs via a Terraform module, Helm chart or CloudFormation template, with Kubernetes optional — which is why the product clears security review even at lean companies selling into enterprises. It is SOC 2 Type 2 certified, and higher tiers add air-gapped deployment and an in-VPC language model.

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