Sherlocks AI is a Site Reliability Engineering platform that positions itself as an autonomous on-call teammate. It monitors system alerts and runs root cause analysis across cloud infrastructure, application code, telemetry, and deployment pipelines. Findings are delivered directly into Slack and Microsoft Teams.
The platform targets the manual triage work that slows down incident response. Engineers normally switch between dashboards, log tools, and metric graphs while checking recent deployments. Sherlocks AI aims to automate this investigative phase rather than replace existing monitoring tools.
Sherlocks deploys a read-only agent called Watson inside the customer’s cloud environment or VPC. When an alert fires, more than 16 domain-specialized AI agents map system dependencies, query logs and metrics, and correlate telemetry with recent code commits. The result is a structured report with commands run, mitigation steps, and preventive recommendations.
Sherlocks AI is built by Gaurav Toshniwal and Akshat Jain, both former CTOs with on-call management backgrounds. Its differentiators include a multi-agent architecture instead of a single prompt wrapper, VPC-native data handling, a chat-based interface, and accumulated institutional memory from past incidents and runbooks.
Pricing
Sherlocks AI offers a Free plan at $0 per month with 30 investigations, all agents, and community support, with no credit card required. The Pro plan costs $500 per month with unlimited investigations and email support, and includes a 1-month free trial that is fully refundable. Enterprise pricing is custom and adds a dedicated field engineer, SSO/SAML, RBAC, audit logs, and air-gapped or in-VPC LLM deployment. Once the Free plan’s 30 monthly investigations are used, processing pauses until the next reset unless the account is upgraded.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
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16+ specialized AI agents investigate infrastructure and code in parallel
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Automated root cause analysis delivered within 2 to 6 minutes
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Watson agent runs read-only inside customer’s VPC or cloud
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Native ChatOps interface inside Slack and Microsoft Teams
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Displays exact command outputs behind every AI finding
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Correlates telemetry spikes with recent code commits and deployments
Use Cases
Automated Incident Response
High-severity outages often stall while engineers manually check dashboards and deployments. Sherlocks ingests alerts, correlates signals with code changes, and delivers an RCA trail in Slack within minutes.
Cross-Team Dev and DevOps Alignment
DevOps teams see infrastructure symptoms while developers hold application context, causing delayed handoffs. Sherlocks gives both groups a shared investigation view inside Slack without new tools to learn.
Asynchronous On-Call Support
Distributed teams struggle with time zone handoffs, often waking off-duty engineers for context. Sherlocks builds detailed investigation trails automatically, letting incoming engineers take over with full history.
Daily Reliability Reviews
Teams often fix outages reactively without spotting recurring patterns. Sherlocks synthesizes prior RCA reports and anomaly patterns into daily reviews, turning findings into prioritized backlog tasks.
Onboarding and Knowledge Retention
New hires often need weeks to learn complex cloud architectures held in senior engineers’ heads. Sherlocks indexes past incidents and configurations, letting junior engineers query the stack in Slack.
Strengths & Weaknesses
Strengths
Delivers root cause analysis within 2 to 6 minutes of an alert.
Keeps raw telemetry inside the customer’s VPC via a read-only agent.
Connects to existing tools like Datadog, Prometheus, New Relic, and Sentry.
Operates inside Slack and Microsoft Teams, reducing tool switching during outages.
Offers a free tier with 30 monthly investigations and no credit card required.
Weaknesses
The Free plan pauses processing after 30 investigations until the next monthly reset.
SSO/SAML, RBAC, audit logs, and in-VPC LLM options are Enterprise-only.
Deployment requires Terraform, Helm, or CloudFormation knowledge, which needs prior DevOps experience.
There is a large pricing gap between the $0 Free tier and the $500 Pro tier.
Who Is This For?
SRE and DevOps teams looking to reduce on-call fatigue and speed up diagnostic work across cloud and Kubernetes environments.
Engineering leaders and CTOs aiming to improve uptime and reduce silos between development and operations teams.
Distributed and global support teams that need smoother shift handoffs across time zones with fewer off-hours escalations.
Regulated enterprise organizations that require SOC 2 Type 2 certified, VPC-native, or air-gapped deployment options.
Frequently Asked Questions
What is Sherlocks AI and how does it work?
Sherlocks AI is an autonomous AI SRE platform that investigates incidents when alerts fire. It dispatches 16+ specialized agents to inspect metrics, logs, and code, then delivers findings in Slack or Teams.
How much does Sherlocks AI cost?
Sherlocks AI has a Free plan at $0 per month for 30 investigations, a Pro plan at $500 per month for unlimited investigations, and custom Enterprise pricing.
How long does an investigation take?
Most alerts are investigated within 2 to 3 minutes. Complex multi-service incidents typically complete within 5 to 6 minutes.
Does Sherlocks AI replace tools like Datadog or Prometheus?
No. Sherlocks AI connects to an existing observability stack and analyzes data across those tools rather than replacing them.
What happens when the Free plan investigation limit is reached?
Processing pauses until the next monthly reset. Upgrading to Pro or Enterprise removes the investigation cap.
Is Sherlocks AI secure for regulated environments?
Sherlocks AI is SOC 2 Type 2 certified. Its Watson agent runs inside the customer’s VPC with read-only access, and Enterprise customers can choose air-gapped or in-VPC LLM deployment.
How long does setup take and is Kubernetes required?
Deploying the Watson agent via Terraform, Helm, or CloudFormation typically takes under 30 minutes. Kubernetes is not required.
Does Sherlocks AI correlate incidents with code deployments?
Yes. It cross-references infrastructure telemetry with recent commits and CI/CD releases from tools like GitHub Actions and Jenkins.
What support is included with each plan?
The Free plan includes community support, Pro includes email support, and Enterprise includes a named support engineer with an SLA.
Sherlocks AI integrates with Slack, Microsoft Teams, Datadog, New Relic, Prometheus, Sentry, Coralogix, Elasticsearch, and Loki for observability and alerting. It also connects to AWS, GCP, Azure, and Kubernetes for infrastructure telemetry, and to PostgreSQL, MySQL, MongoDB, Redis, Kafka, and RabbitMQ for database and messaging diagnostics. Code and pipeline correlation is supported through GitHub Actions and Jenkins.