Insights

Data-Driven Culture Sleuth specializes in cultivating data-driven engineering environments by integrating comprehensive metrics, reviews, and automations. This focus indicates a strong potential for sales opportunities with organizations seeking to improve engineering efficiency and decision-making through advanced analytics and automation tools.

Recent Funding Boost With a recent $22 million Series A funding round led by Felicis and participation from Menlo Ventures and CRV, Sleuth is poised for growth. This financial momentum suggests they are actively investing in product expansion and scaling, creating opportunities to offer complementary products or services that align with their development and sales team growth.

Integrated Feature Set Sleuth's integration with tools like LaunchDarkly and its use of AI-powered templates demonstrate a commitment to enhancing developer control and review efficiency. Targeting organizations that value feature management and collaborative reviews could present strategic sales prospects for related collaboration or enhancement tools.

Emerging Growth Potential Operating within a niche of engineering productivity and measurement, Sleuth has an estimated revenue range of $1 million to $10 million and a small team, making it an attractive partner or acquisition target for larger firms looking to expand into engineering analytics, automation, or DevOps markets.

Customer Focus Given the variety of integrations and the emphasis on automations and metrics, Sleuth's offerings are well-suited for mid-sized tech companies aiming to scale their engineering processes efficiently. This creates a sales opportunity for B2B solutions aimed at enhancing engineering workflows, collaboration, and performance tracking.

Sleuth Tech Stack

Sleuth uses 8 technology products and services including HubSpot Analytics, AWS Fargate, Gravatar, and more. Explore Sleuth's tech stack below.

  • HubSpot Analytics
    Analytics
  • AWS Fargate
    Application Development & Management
  • Gravatar
    Audio, Video, Graphics
  • Gong
    Customer Data Platforms
  • Segment
    Customer Data Platforms
  • HubSpot
    Marketing Automation
  • Lua
    Programming Languages
  • reCAPTCHA
    Security

Sleuth's Email Address Formats

Sleuth uses at least 1 format(s):
Sleuth Email FormatsExamplePercentage
FLast@sleuth.ioJDoe@sleuth.io
87%
First@sleuth.ioJohn@sleuth.io
6%
First.Last@sleuth.ioJohn.Doe@sleuth.io
5%
Last@sleuth.ioDoe@sleuth.io
2%

Frequently Asked Questions

Where is Sleuth's headquarters located?

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Sleuth's main headquarters is located at San Francisco, CA 94114 US. The company has employees across 4 continents, including North AmericaEuropeAfrica.

What is Sleuth's official website and social media links?

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Sleuth's official website is sleuth.io and has social profiles on LinkedInCrunchbase.

What is Sleuth's NAICS code?

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Sleuth's NAICS code is 5112 - Software Publishers.

How many employees does Sleuth have currently?

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As of October 2025, Sleuth has approximately 23 employees across 4 continents, including North AmericaEuropeAfrica. Key team members include Head Of People & Talent: L. D.Head Of Marketing: T. C.Head Of Engineering: K. B.. Explore Sleuth's employee directory with LeadIQ.

What industry does Sleuth belong to?

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Sleuth operates in the Software Development industry.

What technology does Sleuth use?

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Sleuth's tech stack includes HubSpot AnalyticsAWS FargateGravatarGongSegmentHubSpotLuareCAPTCHA.

What is Sleuth's email format?

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Sleuth's email format typically follows the pattern of FLast@sleuth.io. Find more Sleuth email formats with LeadIQ.

How much funding has Sleuth raised to date?

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As of October 2025, Sleuth has raised $22M in funding. The last funding round occurred on May 03, 2022 for $22M.

When was Sleuth founded?

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Sleuth was founded in 2019.
Sleuth

Sleuth

Software DevelopmentCalifornia, United States11-50 Employees

Sleuth helps Engineering align and execute at an elite level so they can deliver more business value.

Sleuth does that by combining all the ingredients for a true data-driven engineering culture: Metrics, Reviews, and Automations.

Metrics include quantitative ones such as DORA metrics, as well as qualitative ones such as DevEx score that fit frameworks like SPACE.

Reviews are Sleuth's secret sauce for turning metric insights into real outcomes and ultimately business value. 

Examples of Reviews include: State of Engineering check-ins, resource allocation planning, sprint reviews, ops reviews, sprint reviews, and more. 

Sleuth provides pre-built, auto-filled, and AI-powered templates to make such Reviews painless and productive.

Automations ensures the data for Metrics is clean and accurate, while helping increase both developer happiness and experience.

Visit Sleuth.io and request a demo to learn more.

Section iconCompany Overview

Headquarters
San Francisco, CA 94114 US
Website
sleuth.io
NAICS Code
5112 - Software Publishers
Founded
2019
Employees
11-50

Section iconFunding & Financials

  • $22M

    Sleuth has raised a total of $22M of funding over 2 rounds. Their latest funding round was raised on May 03, 2022 in the amount of $22M.

  • $1M$10M

    Sleuth's revenue is estimated to be in the range of $1M$10M

Section iconFunding & Financials

  • $22M

    Sleuth has raised a total of $22M of funding over 2 rounds. Their latest funding round was raised on May 03, 2022 in the amount of $22M.

  • $1M$10M

    Sleuth's revenue is estimated to be in the range of $1M$10M

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