Jellyfish
Jellyfish is a web-based engineering management platform that combines engineering data with business context to help R&D teams make decisions about AI adopt…
What Jellyfish is
Jellyfish is a web-based engineering management platform that combines engineering data with business context to help R&D teams make decisions about AI adoption, software delivery, and engineering performance. Its patented allocations model helps teams understand how engineering resources are assigned and how that relates to delivery. The Developer Productivity plan includes investment allocation insights, DORA, SPACE, and AI metrics, dashboards, recommendations, industry benchmarking, and DevEx surveys. AI Impact covers adoption and usage trends, AI developer experience analysis, multi-tool evaluation, token spending, and productivity insights. DevFinOps includes R&D tax credits, software capitalization, investment allocations, and audit-ready reports. The platform can combine engineering-tool data with calendar, finance, and HR information. Listed integrations include Jira, GitHub, Claude Code, Cursor, Linear, Azure DevOps, GitLab, and Bitbucket. Jellyfish was founded in 2017 and identifies Boston as its home city. Pricing depends on seats and selected modules, and prospective customers are directed to request a quote.
Good
- Connects engineering data with business context.
- Offers allocation and delivery insights.
- AI Impact includes usage and token-spend metrics.
- Supports multiple engineering tools and services.
- Includes DORA, SPACE, and AI metrics.
Watch out
- Pricing is available only by quote.
- Pricing depends on seats and selected modules.
- No free plan is listed.
Who it suits
Jellyfish is aimed at engineering executives and managers, platform engineering, product leaders, finance teams, and software developers. It may suit R&D organizations that want to connect engineering activity with business information and AI adoption measures.
Verdict
Jellyfish brings engineering performance, investment allocation, and AI analysis into one platform. Its quote-based pricing means teams need to discuss their seat count and required modules with sales.
Plans and prices
From Jellyfish's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| AI Impact | Priced on request | Adoption & Usage Trends · AI DevEx Analysis · Multi-Tool Evaluation · Token Spend Metrics · AI Productivity Insights |
| Developer Productivity | Priced on request | Includes AI Impact · AI-driven Insights & Recommendations · Custom Dashboards and AI-Powered Queries · Investment Allocation Insights · DORA, SPACE, and AI Metrics · Industry Benchmarking · DevEx Surveys & Insights |
| DevFinOps | Priced on request | R&D Tax Credits · Software Capitalization · Investment Allocations · SOC 1 Type II Compliant · Audit-Ready Reports |
The facts
Each one read from Jellyfish's own pages, with the date it was checked.
What it does
- AI measurement
- The AI Impact plan includes adoption and usage trends, AI DevEx analysis, multi-tool evaluation, token spend metrics, and AI productivity insights.checked 8 Oct 2026
- Allocation model
- Its engineering management platform uses a patented allocations model to help teams understand resource allocation and delivery.checked 8 Oct 2026
- Business data
- The platform can include calendar, finance, and HR information alongside engineering-tool data.checked 8 Oct 2026
- Hosting and safeguards
- Jellyfish says its platform is hosted entirely on AWS and customer data is encrypted in transit using TLS 1.2+ and at rest using AES 256-bit encryption.checked 8 Oct 2026
- Integrations
- The integrations page lists tools including Jira, GitHub, Claude Code, Cursor, Linear, Azure DevOps, GitLab, and Bitbucket.checked 8 Oct 2026
- Pricing basis
- Pricing depends on the number of seats and the selected modules, and Jellyfish directs prospective customers to request a quote.checked 8 Oct 2026
- Security and compliance
- Jellyfish says it maintains audited SOC 1 Type II and SOC 2 Type II attestations and conducts third-party vulnerability assessments and penetration tests.checked 8 Oct 2026
- Support and sales
- The pricing page directs prospective customers to talk to sales for a quote, and the site links to a Help Center.checked 8 Oct 2026
- Target users
- Jellyfish identifies engineering executives, engineering managers, platform engineering, product leaders, finance teams, and software developers as audiences for its platform.checked 8 Oct 2026
- What it does
- Jellyfish combines engineering data with business context to help R&D teams make decisions about AI adoption, delivery, and engineering performance.checked 8 Oct 2026
The company
- Company history
- Jellyfish says it was founded in 2017 and describes Boston as its home city and hometown.checked 8 Oct 2026
- Founded
- 2017checked 28 Sep 2026
- Headquarters
- Boston, United Stateschecked 28 Sep 2026
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