About Jellyfish
Jellyfish is a commercial engineering management platform for R&D organizations. It connects to the systems where engineering work happens and turns that activity into metrics, so executives, managers and finance teams can see how engineering effort maps to business priorities.
The platform is organized around several areas: AI impact, covering adoption, token cost management and comparisons between AI vendors; operational effectiveness, with life cycle and workflow analysis and team benchmarks; business alignment through resource allocation; developer experience surveys; and DevFinOps, including software capitalization for financial reporting. A report builder and an AI assistant help users explore the data.
Jellyfish is a hosted proprietary product sold to engineering executives, engineering managers, platform teams, product leaders and finance teams. Access is through a demo request, and the vendor publishes a pricing page for plan details.
Key features
- Resource allocation tied to business priorities
- AI adoption and token cost tracking
- Life cycle and workflow analysis
- Team benchmarks and people management views
- Software capitalization for financial reporting
- Developer experience surveys
- Report builder and AI assistant
Good fit for
- →Communicating engineering impact to executives
- →Automating R&D financial reporting
- →Tracking AI tool adoption and spend
- Tags
- engineering-management
- engineering-metrics
- ai-impact
- developer-experience
- devfinops
- resource-allocation
Jellyfish: questions and answers
- What is Jellyfish used for?
- Jellyfish is an engineering management platform connecting engineering work with business goals, offering delivery metrics, AI impact analysis and R&D financial reporting. It is a good fit for communicating engineering impact to executives, automating R&D financial reporting, and tracking AI tool adoption and spend.
- How much does Jellyfish cost?
- Jellyfish doesn't publish fixed prices; pricing is quoted on request.
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