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The leading Engineering Management Platform that aligns technical execution with business strategy.

Jellyfish is the premier Engineering Management Platform (EMP) designed to provide visibility into engineering organizations' work, performance, and alignment. By 2026, Jellyfish has evolved beyond simple Git/Jira analytics into a comprehensive 'AI-for-Engineering-Operations' suite. Its technical architecture centers on the 'Jellyfish Allocation Engine,' which utilizes advanced Natural Language Processing and Machine Learning to automatically categorize engineering signals—such as commits, tickets, and PRs—into strategic buckets (e.g., Roadmap, Maintenance, Support). This allows CTOs to verify if their resources are focused on high-priority business goals. The platform integrates deeply with the modern SDLC stack, including VCS, project management tools, and HRIS systems, to provide a single pane of glass for organizational health. Its 2026 market position is defined by predictive capabilities, offering AI-driven forecasting for sprint completion and automated detection of developer burnout patterns. It is positioned as the 'ERP for Engineering,' moving the conversation from 'what is happening' to 'what will happen' and 'how do we optimize for impact.'
Jellyfish is the premier Engineering Management Platform (EMP) designed to provide visibility into engineering organizations' work, performance, and alignment.
Explore all tools that specialize in predictive delivery forecasting. This domain focus ensures Jellyfish delivers optimized results for this specific requirement.
Uses NLP to automatically categorize Jira tickets and GitHub commits into strategic categories based on keyword extraction and metadata clustering.
Monte Carlo simulations based on historical velocity to predict the impact of reallocating resources between projects.
A high-fidelity visualization of the flow of work from ideation to production deployment.
Qualitative developer experience surveys integrated with quantitative activity data.
Automated R&D tax credit reporting by mapping engineering hours to specific capitalizable projects.
Aggregated, anonymized data comparison against thousands of other engineering organizations.
AI-driven forecasting that alerts managers when a project's completion date is slipping based on current PR velocity.
Connect your Version Control System (GitHub, GitLab, or Bitbucket) via OAuth or App installation.
Connect your Issue Tracking system (Jira, Linear, or Azure DevOps) and map relevant projects.
Integrate HRIS data (e.g., BambooHR, Workday) to correlate engineering output with team structures.
Configure 'Allocation Categories' to define how work types are classified by the AI engine.
Define 'Product Areas' to group technical repositories and boards into business-centric units.
Initiate the historical data sync (typically 6-12 months of look-back for baseline generation).
Map individual contributors to teams and verify data accuracy in the 'People' settings.
Set up DORA metrics benchmarks based on industry standards or internal historical goals.
Configure automated Slack alerts for delivery bottlenecks and PR cycle time anomalies.
Schedule automated 'Executive Summary' reports for delivery to stakeholders via email or PDF.
All Set
Ready to go
Verified feedback from other users.
"Users praise the platform for its ability to transform engineering from a cost center to a value driver. The automatic allocation feature is frequently cited as a game-changer for finance reporting."
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