Jellyfish is an Engineering Management Platform that integrates issue tracking and source control management data to provide actionable insights on team performance, resource allocation, and project timelines. It enables engineering leaders to enhance operational efficiency and predictability by measuring key metrics, thereby aligning engineering efforts with strategic business objectives.
Funding
$117.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Engineering leaders often lack clear visibility into their teams' performance, resource allocation, and project timelines, hindering their ability to optimize operations and align engineering efforts with strategic business objectives. Traditional methods of tracking engineering work are often manual, time-consuming, and fail to provide actionable insights.
Solution
Jellyfish is an Engineering Management Platform that aggregates data from issue tracking and source control management systems to provide actionable insights into engineering performance. The platform enables engineering leaders to measure key metrics related to team health, delivery predictability, and resource allocation. By providing a comprehensive view of engineering operations, Jellyfish helps organizations improve efficiency, remove bottlenecks, and ensure that engineering efforts are aligned with business priorities.
Target Audience
Jellyfish is primarily targeted towards engineering leaders, engineering managers, and CTOs who need to improve engineering performance, increase delivery predictability, and align engineering efforts with business goals.
Features
- Integrates with existing issue tracking (e.g., Jira) and source control management (SCM) systems (e.g., GitHub)
- Provides insights into team performance, lead time, and deployment frequency
- Measures time spent on roadmap initiatives versus other types of work (e.g., KTLO)
- Quantifies the impact of GenAI coding tools on engineering efficiency
- Includes developer surveys to uncover issues impacting productivity
- Automates software capitalization reporting
- Offers a patented Work Model Engine that combines issue tracking and SCM data