What are the best alternatives to Sherlocks.ai?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Sherlocks.ai among SRE and DevOps agents are TierZero, Wild Moose, Kubiya, PagerDuty. Each is graded on the same public evidence, and no vendor pays for placement.

Does Sherlocks.ai have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Sherlocks.ai publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: SOC 2 Type 2 certified and VPC-native, with the runner deployed inside your VPC so raw telemetry never leaves your network, Sherlocks site 2026-07-22. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can Sherlocks.ai be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Sherlocks.ai publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: VPC-native: a lightweight agent deploys inside your VPC in minutes and raw telemetry never leaves your network, Sherlocks site 2026-07-22. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Sherlocks.ai require human approval before an agent acts?

Full under the Agentic Index verification standard. Sherlocks.ai publishes public evidence of human approval steps and guardrails, so an agent action can be held for review before it executes. Evidence basis: An autonomous investigator focused on evidence-backed RCA and recommendations rather than unrestricted auto-remediation, presenting fixes for approval and logging every action, Sherlocks site 2026-07-22. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Sherlocks.ai

Q: Who is Sherlocks.ai for?

SRE teams, on-call engineers, lean teams, enterprise

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SRE / DevOps agentindependentVerified 2026-07-22

Entry priceFree (30 investigations/mo); paid from $500/monthFull pricing detail

AI native SRE assistant that correlates observability signals for incident response, root cause and outage prevention, with institutional memory.

Sherlocks.ai brings AI-native SRE teammates into Slack and Microsoft Teams. Triggered the moment an alert fires, or by a ticket or Slack request, it runs 16 or more domain-specialized agents in parallel that map the alert to an Awareness Graph of your infrastructure, correlate telemetry, deployments, topology, Slack context and past incidents, and return an evidence-backed root cause with confidence, timeline, blast radius and recommended next actions.

Its Awareness Graph gives it institutional memory across incidents, RCAs, runbooks and Slack history, so each incident becomes training data. Sherlocks is an autonomous investigator rather than an unrestricted auto-remediator, is SOC 2 Type 2 certified and VPC-native so raw telemetry never leaves your network, and offers a free plan with 30 investigations per month plus a paid tier at 500 dollars per month.

Vendor details

Canonical URL

https://www.sherlocks.ai

Company status

independent

Use cases & customers

Primary use cases

autonomous incident investigationroot cause analysisalert noise reductioninstitutional memory

Target customers

SRE teamson-call engineerslean teamsenterprise

Deployment options

VPC-native (agent inside your VPC)

Integrations

Slack and Microsoft Teams plus your observability stack: logs, metrics, traces, deployments and tickets.

Sources & related URLs

Research sources

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

Agentic Index coverage score

10.0 / 14 capabilities · 71%

Integrations & Tool Calling	Full
Runs in Slack and Microsoft Teams and connects to your observability stack, logs, metrics, traces, deployments and tickets, Sherlocks site 2026-07-22 Sourcesherlocks.airead 2026-07-22
Workflow Orchestration	Full
Runs 16 plus domain-specialized agents in parallel that plan an investigation, query telemetry, generate and rank root-cause hypotheses and report back in Slack, Sherlocks site 2026-07-22 Sourcesherlocks.airead 2026-07-22
Knowledge Grounding & RAG	Full
Maps alerts to an Awareness Graph of your infrastructure and correlates telemetry, deployments, topology, Slack context and past incidents to form and rank hypotheses, Sherlocks site 2026-07-22 Sourcesherlocks.airead 2026-07-22
Human Oversight & Guardrails	Full
An autonomous investigator focused on evidence-backed RCA and recommendations rather than unrestricted auto-remediation, presenting fixes for approval and logging every action, Sherlocks site 2026-07-22 Sourcesherlocks.airead 2026-07-22
Security, Identity & Governance	Full
SOC 2 Type 2 certified and VPC-native, with the runner deployed inside your VPC so raw telemetry never leaves your network, Sherlocks site 2026-07-22 Sourcesherlocks.airead 2026-07-22
Observability & Auditability	Partial
Strong auditability via evidence links, timelines and blast-radius reporting, though it investigates over your existing telemetry rather than providing its own, Sherlocks site 2026-07-22 Sourcesherlocks.airead 2026-07-22
Memory & State Persistence	Full
Its Awareness Graph stores historical incidents, prior RCAs, deployment history, docs, Slack conversations and remediation patterns, reusing institutional knowledge as each incident becomes training data, Sherlocks site 2026-07-22 Sourcesherlocks.airead 2026-07-22
Deployment & Data Residency	Full
VPC-native: a lightweight agent deploys inside your VPC in minutes and raw telemetry never leaves your network, Sherlocks site 2026-07-22 Sourcesherlocks.airead 2026-07-22
Prebuilt Agents, Templates & Packs	Full
Ships 16 plus prebuilt domain-specialized agents including Database Sherlock and Kubernetes Sherlock, Sherlocks site 2026-07-22 Sourcesherlocks.airead 2026-07-22
Triggers & Channel Coverage	Full
Triggered instantly by an alert, ticket or Slack request and investigates autonomously the moment an alert fires, Sherlocks site 2026-07-22 Sourcesherlocks.airead 2026-07-22
Model Flexibility & Routing	Unable to verify
Uses advanced AI models but no customer facing model choice or routing is documented, Sherlocks site 2026-07-22 Sourcesherlocks.airead 2026-07-22
APIs, SDKs & MCP Extensibility	Unable to verify
No public API, SDK or MCP extensibility surface is documented, Sherlocks site 2026-07-22 Sourcesherlocks.airead 2026-07-22
Testing, Debugging & Optimization	Partial
Generates, validates and ranks hypotheses and improves as each incident becomes training data, a self-improving loop rather than a customer-facing evaluation harness, Sherlocks site 2026-07-22 Sourcesherlocks.airead 2026-07-22
Browser & Computer Use	Unable to verify
Operates in Slack and Teams and via APIs rather than browser or computer interface control, Sherlocks site 2026-07-22 Sourcesherlocks.airead 2026-07-22

The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Recent platform changes

2026-08-14·IntegrationsVerified

Sherlocks.ai introduced an AI SRE integration for Slack that makes the chat platform a primary incident investigation interface. Upon receiving an alert or an engineer's /investigate command, the agent autonomously correlates cross-service telemetry and tests root cause hypotheses against live infrastructure data. It then posts its findings, blast radius analysis, and remediation recommendations directly into the active Slack thread. The agent remains active in the channel to answer follow-up questions and prepare contextual handoffs for incoming engineers.

Bears on: Agent capability

View source

View all 1 change for Sherlocks.ai →Tracked since Aug 2026 · Verified from public vendor sources

Pricing

Free (30 investigations/mo); paid from $500/month

Free tierTrial available

What is public

Free plan at $0 with 30 investigations/month and all 16+ agents; paid tier $500/month after a 1 month free trial.

Variable cost rationale

Free tier capped at 30 investigations per month; paid tier is a flat $500/month, with usage above plan limits likely metered.

Sales call required

No, self serve available

Free / trial

Free plan (30 investigations/mo, no card) + 1 month free on paid

Agentic Index verified 2026-07-22

Related vendors

Alternatives to Sherlocks.ai

The closest documented capability profiles to Sherlocks.ai among SRE and DevOps agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

TierZero10.5 / 14Adds documented APIs, SDKs & MCP Extensibility
Wild Moose9.5 / 14A lighter documented profile than Sherlocks.aiSherlocks.ai vs Wild Moose →
Kubiya12.0 / 14Adds documented Model Flexibility & Routing and APIs, SDKs & MCP Extensibility
PagerDuty11.0 / 14Adds documented APIs, SDKs & MCP Extensibility
Anyshift8.5 / 14Adds documented APIs, SDKs & MCP Extensibility
Avesha10.5 / 14Adds documented APIs, SDKs & MCP Extensibility

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Sherlocks.ai with other vendors →Compare all SRE and DevOps agents →See where Sherlocks.ai ranks →

Data confidence: medium

Head to head

Sherlocks.ai vs Doctor Droid Sherlocks.ai vs Wild Moose