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Jellyfish
Boston, United States
What it is
Jellyfish is a web-based engineering management platform that combines engineering activity with business information for decisions about AI adoption, software delivery, and engineering performance. Its patented allocations model helps teams examine resource allocation and delivery. The Developer Productivity plan includes AI-driven insights and recommendations, custom dashboards and AI-powered queries, investment allocation insights, DORA, SPACE, and AI metrics, industry benchmarking, and DevEx surveys. AI Impact covers adoption and usage trends, AI DevEx analysis, multi-tool evaluation, token-spend metrics, and AI productivity insights. DevFinOps includes R&D tax credits, software capitalization, investment allocations, and audit-ready reports. Data from calendar, finance, and HR systems can sit alongside engineering-tool data. Integrations listed include Jira, GitHub, Claude Code, Cursor, Linear, Azure DevOps, GitLab, and Bitbucket. Jellyfish was founded in 2017 and is based in Boston. Pricing depends on seats and selected modules, with quotes available through sales. Hosting and security details include AWS, TLS 1.2+, AES-256, and stated SOC attestations.
For and against
For
- Combines engineering and business data
- Includes DORA, SPACE, and AI metrics
- Offers AI adoption and usage analysis
- Lists integrations with major development tools
- Provides custom dashboards and AI queries
Against
- No free plan
- Pricing requires a quote
- Web platform only
The verdict
Jellyfish is aimed at organizations that need engineering, business, and AI measurement in one web platform. Its module-based, seat-dependent pricing means prospective customers must request a quote.
Who it suits
It suits engineering executives, managers, platform teams, product leaders, finance teams, and software developers. Organizations should expect quote-based pricing tied to seats and selected modules.
Plans and prices
AI Impact
Adoption & Usage Trends · AI DevEx Analysis · Multi-Tool Evaluation · Token Spend Metrics
Read 8 Oct 2026 · jellyfish.co
Developer Productivity
Includes AI Impact · AI-driven Insights & Recommendations · Custom Dashboards and AI-Powered Queries · Investment Allocation Insights
Read 8 Oct 2026 · jellyfish.co
DevFinOps
R&D Tax Credits · Software Capitalization · Investment Allocations · SOC 1 Type II Compliant
Read 8 Oct 2026 · jellyfish.co
On the record
- AI measurement
- The AI Impact plan includes adoption and usage trends, AI DevEx analysis, multi-tool evaluation, token spend metrics, and AI productivity insights.jellyfish.co · read 8 Oct 2026
- Allocation model
- Its engineering management platform uses a patented allocations model to help teams understand resource allocation and delivery.jellyfish.co · read 8 Oct 2026
- Business data
- The platform can include calendar, finance, and HR information alongside engineering-tool data.jellyfish.co · read 8 Oct 2026
- Company history
- Jellyfish says it was founded in 2017 and describes Boston as its home city and hometown.jellyfish.co · read 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.jellyfish.co · read 8 Oct 2026
- Integrations
- The integrations page lists tools including Jira, GitHub, Claude Code, Cursor, Linear, Azure DevOps, GitLab, and Bitbucket.jellyfish.co · read 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.jellyfish.co · read 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.jellyfish.co · read 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.jellyfish.co · read 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.jellyfish.co · read 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.jellyfish.co · read 8 Oct 2026
