Artificial Intelligence | Machine Learning | Natural Language Processing Sleuth | Track and Improve Engineering Efficiency


Enterprise, Software Delivery Performance, Accelerate Metrics, Automation Tools, Generate Insights San Francisco, California, United States

Sleuth

Artificial Intelligence | Machine Learning | Natural Language Processing


Sleuth | Track and Improve Engineering Efficiency

Sleuth

Software Delivery Performance, Accelerate Metrics, Automation Tools, Generate Insights


San Francisco, California, United States

Sleuth is a mission control software for teams doing Continuous Delivery. It provides centralized visibility into software delivery performance and progress, plus automation that empowers developers to make frequent deploys easier and less stressful. Sleuth's metrics tracker gives managers an accurate and ongoing picture of their project's delivery performance as measured by DORA / Accelerate metrics. Sleuth's deployment tracker and automation tools help developers own, coordinate, verify, and streamline deploys, and ultimately improve on the metrics. It works by integrating with source control, CI, feature flag, monitoring tools, and more, to track entire cycle times from issues created all the way to production deploys, and generate insights on how your projects are progressing and performing.

Track team-based metrics studies have proven to impact software delivery performance: Accelerate / DORA metrics. Sleuth is designed to accurately track DORA metrics and provide the context developers can use to improve on them. Sleuth tracks DORA metrics by way of tracking deploys. Developers use Sleuth to get a complete view of current and upcoming deploys, and the impact of deployed releases - so they can understand what's shipped, shipping, and needs fixing.

Most metrics trackers can't accurately track Deploy Frequency and Change Lead Time, because they use source control data to infer when deploys happen. They also can't properly track Change Failure Rate or MTTR, because they don't collect any data on the impact and health of deployed code. In contrast, Sleuth tracks your entire cycle time, from issue creation to production deploys and rollbacks. Sleuth helps teams improve on DORA metrics by making deployments less stressful for developers. It gives developers clarity and control over deploys, which in turn gives them the confidence to ship faster. Less time spent stressing about deploys means more time for wr

 
 

   Total Funding: N/A

   Funding Stage: N/A

   Business Stage: Scaling Up

   Market: B2B

   Company Size: 1 to 25

   Founded: 2016

 
 

Date

Round

$ Raised

Investors

05/06/2022

Series A

$22M

Felicis Ventures, Menlo Ventures, CRV

Date : 05/06/2022

Round: Series A

$ Raised: $22M

Investors: Felicis Ventures, Menlo Ventures, CRV

 

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Dylan Etkin

Dylan Etkin
Founder & CEO

Michael Knighten

Michael Knighten
Founder & COO

Don Brown

Don Brown
Co-founder/CTO

Alexander Leeds

Alexander Leeds
Co-Founder

 
 

Sleuth is growing. Want to work at Sleuth? Sleuth is hiring. Join team at Sleuth

 
 
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