Sleuth
Sleuth provides engineering intelligence and AI agent governance software to software engineering organizations, offering DORA metrics tracking across the dev toolchain and a control plane for distributing AI coding assistant skills, rules, and MCP servers.
- Company typePrivate
- Founded2019
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Sleuth does
Sleuth is a San Francisco-based, remote-first software company founded in 2019 by Atlassian alumni Dylan Etkin (CEO) and Don Brown (CTO), with Michael Knighten as co-founder and COO. The company sells engineering intelligence and AI agent governance software to software engineering organizations through two product lines. Sleuth DORA is an engineering intelligence platform that automatically tracks all four DORA metrics (Deploy Frequency, Change Lead Time, Change Failure Rate, and MTTR) by ingesting event-based data via webhooks from code repositories (GitHub, GitLab, Bitbucket, Azure DevOps), CI/CD systems (Jenkins, CircleCI, Buildkite), issue trackers (Jira, Linear, Shortcut), observability platforms (Datadog, New Relic, Splunk, AWS CloudWatch), error trackers (Sentry, Bugsnag, Honeybadger, Rollbar), and incident tools (PagerDuty, Opsgenie, FireHydrant, Rootly, Blameless, StatusPage, ServiceNow). The platform also provides 100+ pre-built automations for PR hygiene, deployment approvals, and Slack notifications.
Sleuth Skills, launched in 2024, is an AI agent governance and distribution control plane that lets enterprises define agent skills, rules, prompts, hooks, and MCP servers once and distribute them to every AI coding client (Cursor, Claude Code, GitHub Copilot, Gemini CLI, Codex, Cline). It provides approval workflows, audit trails, RBAC scoped by team and repository, runtime visibility, and a public MCP server that allows ChatGPT and Claude to retrieve managed assets via OAuth.
The business model is hybrid: a free, open-source Apache 2.0 distribution client called SX feeds a product-led growth motion targeting individual developers and small teams, while an Enterprise tier with custom pricing, unlimited repositories, SAML SSO, on-premise GitHub support, dedicated Customer Success, and 24/7 support is sold via direct enterprise field sales targeting VP Engineering and CTO buyers. Sleuth has raised $25 million total ($3M seed from CRV in March 2020 and $22M Series A co-led by Felicis and Menlo Ventures in May 2022), is SOC 2 Type II, GDPR, and CCPA compliant, and operates with 11-50 employees distributed across the U.S. and Europe.
Sleuth firmographics
Firmographics- Name
- Sleuth
- Legal name
- Sleuth Enterprises, Inc.
- Website
- https://sleuth.io
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Sleuth provides engineering intelligence and AI agent governance software to software engineering organizations, offering DORA metrics tracking across the dev toolchain and a control plane for distributing AI coding assistant skills, rules, and MCP servers.
- Ownership category
- akta.pro rank
Sleuth industry classification
Industry- Product category
- Engineering Intelligence / Developer Productivity Software
- NAICS
- Software Publishers (5132), Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Digital Experience Monitoring & Management (DEX/DEM, AIOps for EUC) (BPAEAIAF)
- akta.pro secondary industry
- Model Hosting, Serving & Inference Platforms (HDAAACAB)
Keywords
Where Sleuth is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Markets served
Sleuth business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Subscription SaaS: Sleuth Skills Enterprise tier offered as SaaS or self-hosted with custom pricing based on repositories and enterprise features. Includes dedicated 24/7 support and Customer Success.
- Freemium Open Source: SX is free and open source under Apache 2.0 license. Self-hosted distribution for AI coding assistants with basic features including Skills, Agents, Slash commands, Hooks, MCP servers, and Plugin bundles.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Others | SX Open Source - Free tier for individuals and small teams |
| Subscription | Multi-year contract | Sleuth Skills Enterprise - Custom enterprise governance tier |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels5 records
Sleuth product offering
Product offeringCore offering
Sleuth sells a SaaS engineering intelligence platform that automatically tracks DORA metrics (Deploy Frequency, Change Lead Time, Change Failure Rate, MTTR) by ingesting event data from code repositories, CI/CD pipelines, APM/observability tools, and issue trackers via webhooks. It also sells Sleuth Skills, an AI agent governance and distribution control plane that lets enterprises manage, distribute, version, and audit agent skills, rules, and MCP servers across AI coding clients (Cursor, Claude Code, GitHub Copilot, Gemini CLI, Codex). The platform is offered as a self-serve open-source tier (SX) and a custom-priced Enterprise tier with SAML SSO, on-premise GitHub support, and dedicated support.
Product overview
Sleuth offers two main product lines: Sleuth DORA and Sleuth Skills. Sleuth DORA is an engineering intelligence platform for tracking DORA metrics, consisting of the Metrics module (tracks Deploy Frequency, Change Lead Time, Change Failure Rate, MTTR), Automations module (100+ pre-built automations for PR checks, notifications, and workflows), and Integrations (pre-built connections to 30+ development tools). Sleuth Skills is a newer AI-focused product for governing and distributing AI agent skills across organizations, available in open-source SX tier and Enterprise tier. Both product lines can be used independently or together, with Skills extending DORA's governance capabilities to AI agents.
Differentiator
Problem solved
Functional benefit
Products and services
- Sleuth DORA Engineering intelligence platform that automatically tracks all four DORA metrics (Deploy Frequency, Change Lead Time, Change Failure Rate, MTTR) by ingesting event data via webhooks from code repositories, CI/CD pipelines, APM and observability tools, error trackers, and issue trackers. Provides deploy-level drill-down views, Work in Progress dashboards, and 100+ pre-built automations for engineering organizations that need to measure delivery performance without spying on individual developers.
- Sleuth Skills AI agent governance and distribution platform that provides a single control plane to manage, version, distribute, and govern every AI agent skill, rule, prompt, hook, and MCP server across AI coding clients such as Cursor, Claude Code, GitHub Copilot, Gemini CLI, Codex, Cline, and Openclaw. Includes approval workflows, audit trails, RBAC, scoped access controls, SAML SSO, runtime visibility, and token/cost attribution. Distributed via a free open-source tier (SX) under Apache 2.0 and a custom-priced Enterprise tier with unlimited repositories, SaaS or self-hosted deployment, on-premise GitHub support, and dedicated 24/7 Customer Success.
Quantifiable outcome
- Tracks all four DORA metrics accurately with A+ grade in metrics measurement category
- +1 more outcomes
Companies that use Sleuth
Customer profileSegments1 record
Ideal customer profiles3 records
Sleuth technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration34 records
AI capability8 records
Feature4 records
Sleuth partnerships and signals
Strategic signalScale indicators1 record
Recent moves6 records
Expansion highlights6 records
Sleuth competitors and assessment
Company assessmentDirect peers
- LinearB: Engineering productivity and DORA metrics platform targeting engineering leaders with delivery metrics, workflow automation, and developer analytics — the closest direct competitor to Sleuth DORA.
- Swarmia: Engineering effectiveness platform focused on DORA and SPACE metrics, investment in developer flow, and outcome-oriented engineering management — direct overlap with Sleuth's DORA and team-metrics offering.
- Jellyfish: Engineering Management Platform that connects engineering work to business outcomes, providing DORA, flow, and resource allocation metrics — comparable buyer (VP Engineering/CTO) and overlapping DORA metric capabilities.
- Waydev: Engineering analytics platform delivering DORA metrics, cycle time, and team performance insights — directly competes with Sleuth DORA for engineering leadership buyers.
- Faros AI: Open-source engineering intelligence platform aggregating DORA, PR, and CI/CD data into a unified engineering productivity graph — comparable in both DORA focus and open-source distribution strategy.
Broad incumbents
- Datadog: Broad observability and monitoring platform that has expanded into CI/CD visibility, deployment tracking, and engineering metrics — a much larger incumbent whose APM/monitoring footprint overlaps Sleuth's observability integrations and DORA-adjacent capabilities.
- GitLab: End-to-end DevOps platform that natively tracks value stream analytics, DORA metrics, and deployment frequency — competing with Sleuth as a bundled alternative inside an already-deployed DevOps suite.
- Atlassian (Jira + Compass): Atlassian's Compass and Jira Align products provide engineering health, DORA, and team performance metrics inside the Jira ecosystem — a strategic incumbent given Sleuth founders' Atlassian roots and customers' existing Jira footprint.
- Harness: CI/CD and software delivery platform with engineering insights, deployment verification, and feature flag capabilities that overlap Sleuth's deployment-tracking and CI/CD integration footprint.
Emerging players
- Portkey: AI gateway and observability platform for LLM applications with governance, audit, and policy controls — an emerging peer in the adjacent AI agent / LLM governance space where Sleuth Skills also plays.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Sleuth social profiles
Digital presenceSleuth compliance and trust
Trust signalCompliance3 records
Sleuth financial estimates
Financial estimateRevenue estimate
Valuation estimate
Sleuth leadership team
Management profileNumber of profiles
Profiles3 records
Sleuth funding detail
Funding detailFunding overview
Funding rounds2 records
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Sleuth M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Sleuth
What does Sleuth do?
Sleuth sells a SaaS engineering intelligence platform that automatically tracks DORA metrics (Deploy Frequency, Change Lead Time, Change Failure Rate, MTTR) by ingesting event data from code repositories, CI/CD pipelines, APM/observability tools, and issue trackers via webhooks. It also sells Sleuth Skills, an AI agent governance and distribution control plane that lets enterprises manage, distribute, version, and audit agent skills, rules, and MCP servers across AI coding clients (Cursor, Claude Code, GitHub Copilot, Gemini CLI, Codex). The platform is offered as a self-serve open-source tier (SX) and a custom-priced Enterprise tier with SAML SSO, on-premise GitHub support, and dedicated support.
Is Sleuth a public or private company?
Sleuth is a private company. It is classified as venture growth investor backed and is currently operating.
When was Sleuth founded?
Sleuth was founded in 2019. It employs 11 to 50 people.
Where is Sleuth based?
Sleuth is headquartered in San Francisco, United States, in the North America region.
How does Sleuth make money?
Two revenue lines are on record. Subscription SaaS are the primary driver. The others are freemium Open Source.
Who are Sleuth's main competitors?
Direct peers on record are LinearB, Swarmia, Jellyfish, Waydev and Faros AI. Broad incumbents are Datadog, GitLab, Atlassian (Jira + Compass) and Harness. Portkey is listed as an emerging player.
Does Sleuth have an API?
Yes. Sleuth offers a public REST API for both DORA and Skills products. The Skills product also includes a Model Context Protocol (MCP) server at https://app.skills.new/mcp/assets that allows AI clients (such as ChatGPT and Claude) to access and retrieve assets stored in user accounts. The MCP server uses OAuth flows to authenticate AI client requests. Developer documentation is at help.sleuth.io.
What industry is Sleuth in?
Sleuth's product category is Engineering Intelligence / Developer Productivity Software. Its primary akta.pro industry code is BPAEAIAF, Digital Experience Monitoring & Management (DEX/DEM, AIOps for EUC), with a secondary code of HDAAACAB, Model Hosting, Serving & Inference Platforms. Its NAICS code is 5132 and its SIC code is 7372.