Sleuth

Sleuth

Platform for engineering team management

About Sleuth

Simplify's Rating
Why Sleuth is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Rating Differentiation

Industries

Enterprise Software

AI & Machine Learning

Company Size

11-50

Company Stage

Series A

Total Funding

$24.3M

Headquarters

San Francisco, California

Founded

2019

Overview

Sleuth provides a platform that helps engineering teams manage their goals and improve their delivery processes. The platform works by integrating with popular tools like Jira, GitHub, and PagerDuty, allowing it to automatically fill in review templates for various engineering assessments, such as monthly check-ins and sprint reviews. This integration simplifies the review process, making it more efficient and productive. What sets Sleuth apart from its competitors is its focus on metrics-driven and AI-assisted templates, which enhance accountability and streamline operations. The main goal of Sleuth is to help engineering organizations achieve operational excellence and predictable delivery through effective review processes.

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Simplify's Take

What believers are saying

  • Increased adoption of AI tools boosts Sleuth's AI-assisted templates' relevance.
  • Remote work trends heighten demand for Sleuth's visibility and accountability features.
  • Growing DevOps practices drive need for Sleuth's streamlined continuous delivery platform.

What critics are saying

  • Competition from AI-driven tools like LinearB and Jellyfish threatens Sleuth's market share.
  • Open-source alternatives like Jenkins pose risks to Sleuth's subscription model.
  • Economic downturns may lead to reduced spending on tools like Sleuth.

What makes Sleuth unique

  • Sleuth integrates with popular tools like Jira, GitHub, and PagerDuty seamlessly.
  • It offers AI-driven templates for engineering reviews, enhancing productivity and accountability.
  • Sleuth provides centralized visibility into software delivery performance using DORA metrics.

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Funding

Total Funding

$24.3M

Above

Industry Average

Funded Over

2 Rounds

Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Above Average

Industry standards

$15M
$8.2M
Discord
$15M
Canva
$22M
Sleuth
$100M
GitHub

Benefits

Zero premium health insurance

Competitive salary

Sleuth equity

Unlimited vacation

Remote-first culture

Team offsites

401k

PTO

Growth & Insights and Company News

Headcount

6 month growth

↑ 0%

1 year growth

↓ -6%

2 year growth

↑ 0%
TechCrunch
May 3rd, 2022
Sleuth Wants To Use Ai To Measure Software Developer Productivity

As knowledge workers including software engineers shifted to remote work during the pandemic, executives expressed a concern that productivity would suffer as a result. The evidence is mixed on this, but in the software industry particularly, remote work exacerbated many of the challenges that employees already faced. According to a 2021 Garden survey, the majority []

TechCrunch
May 5th, 2020
Sleuth raises $3M Seed to bring order to continuous deployment | TechCrunch

Sleuth, an early stage startup from three former Atlassian employees, wants to bring some much-needed order to the continuous delivery process. Today, the company announced it has raised a $3 million seed round. ​CRV led the round with participation from angel investors from New Relic, Atlassian and LaunchDarkly. “Sleuth is a deployment tracker built to […]

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