Jellyfish

What Jellyfish does

Jellyfish is a Boston-based software engineering intelligence (SEI) platform founded in 2017 that ingests fragmented signals from across the software development lifecycle — issue tracking (Jira, Linear, Azure Boards), source code management (GitHub, GitLab, Bitbucket), CI/CD pipelines, HRIS, and financial systems — and normalizes them through a patented unified data model without requiring manual tagging, migrations, or process changes. The platform is delivered as a core data layer plus five modular add-ons (AI Impact, Operational Effectiveness, Business Alignment, DevEx, and DevFinOps), overlaid with AI-powered interfaces including the Jellyfish Assistant and Data Hub that enable natural-language queries and proactive insight surfacing. Patented IP includes a Unified Data Model for SDLC normalization and a Work Allocations Model that classifies engineering effort in FTEs regardless of source data hygiene.

The company serves enterprise and mid-market engineering organizations — disclosed customer logos include Box, Priceline, Blue Yonder, DraftKings, GoodRx, Acquia, Optimizely, CHG Healthcare, Clari, Jobvite, Siigo, Loadsmart, and TaskRabbit — targeting engineering executives, engineering managers, platform engineering teams, product leaders, finance teams, and indirectly individual software developers. Jellyfish reports covering 500+ companies and roughly 100,000 engineers worldwide, with its April 2026 AI Engineering Trends research drawing on data from over 1,000 companies, 200,000 engineers, and 20M+ pull requests.

Jellyfish operates a sales-led enterprise go-to-market with a quote-based, per-seat subscription priced across three primary module tiers (AI Impact, Developer Productivity, DevFinOps), complemented by a product-led 'Tour the Product' self-serve experience and direct inside-sales for mid-market accounts. Distribution is direct-only, with no channel/reseller program and no marketplace listing. Revenue is composed of recurring SaaS subscriptions, multi-year enterprise contracts, and ancillary professional services. As of late 2024 the company reported $31.9M in ARR and has cumulatively raised $114.5M, including a $71M Series C in February 2022 led by Accel, Insight Partners, and Tiger Global Management.

Name

Jellyfish

Legal name

Jellyfish

Website

https://jellyfish.co

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

101–250 employees

Short description

Jellyfish is a Boston-based software engineering intelligence platform founded in 2017 that normalizes fragmented SDLC signals via a patented data model, serving 500+ enterprise and mid-market engineering organizations with AI Impact, DevEx, Business Alignment, DevFinOps, and Operational Effectiveness modules.

Ownership category

akta.pro rank

Headquarters

HQ city

Boston

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Module-based SaaS subscriptions: Recurring SaaS revenue sold on a per-seat basis across three product modules (AI Impact, Developer Productivity, DevFinOps); pricing is quote-based and tailored to the seat count and modules selected. Module-based packaging enables land-and-expand as customers adopt additional capabilities.
2. Enterprise contracts (multi-year): Enterprise sales motion with 'Request a Quote' / 'Talk to Sales' suggests multi-year enterprise contracts typical of large-account software sales.
3. Professional services / enablement: Hands-on enablement, rollout support, and ongoing guidance implied by 'Guidance That Scales' differentiator and customer success-led adoption model.

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels9 records

Core offering

Jellyfish is a Software Engineering Intelligence platform that ingests, cleans, normalizes, and links fragmented signals from issue tracking, SCM, CI/CD, HRIS, financial tools, and AI coding assistants into a single engineering data model. It sells this as a suite of modules — AI Impact, Operational Effectiveness, Business Alignment, DevEx, DevFinOps — that quantify engineering productivity, AI tool ROI, resource allocation, developer experience, and software capitalization for engineering, product, and finance leaders.

Product overview

Jellyfish offers a unified engineering intelligence platform with a core platform plus a portfolio of add-on modules and AI features rather than a single monolithic product. The core Jellyfish Platform ingests data from the software development lifecycle (issues, code, CI/CD, AI tools) and powers a set of named modules: AI Impact (with sub-modules Drive Adoption, AI Token Cost Management, Impact Insights, Workflow Optimization, Enable Teams, Vendor Comparison, and Report Builder for measuring AI coding tool adoption and ROI); Operational Effectiveness (with Engineering Metrics, Life Cycle Explorer, Team Workflow Analysis, People Management, and the standalone Engineering Benchmarks offering); Business Alignment (with Resource Allocations); DevEx; and DevFinOps (with Software Capitalization). On top of these modules, Jellyfish Assistant and Data Hub add AI-powered natural-language exploration and data-platform capabilities that span the modules. The modules share the same underlying data model and integrations, so engineering, product, and finance leaders see a single source of engineering truth.

Differentiator

Problem solved

Functional benefit

Products and services

• Jellyfish Platform Core engineering intelligence platform that ingests data from the software development lifecycle (issues, code, CI/CD, AI tools) and serves it to engineering, product, and finance leaders via dashboards, reports, and AI-powered interfaces.
• AI Impact Module that measures AI coding tool adoption and impact across AI coding assistants, including sub-capabilities for driving adoption, managing AI token cost, surfacing impact insights, optimizing workflows, enabling teams, comparing vendors, and building reports.
• Operational Effectiveness Module that provides operational metrics and analytics for engineering and product operations, including engineering metrics, lifecycle explorer, workflow analysis, people management, and team benchmarks.
• Business Alignment Module that connects engineering work to business outcomes by linking engineering investments and allocations to strategic priorities and product bets, using a patented multi-source data model.
• DevEx Module focused on developer experience, combining validated developer experience surveys with DORA, SPACE, and system metrics to produce a comparable DevEx Index and AI-driven recommendations.
• DevFinOps Module that brings finance and engineering together on the same platform, enabling software capitalization, R&D tax credit reporting, cost tracking, and FinOps-style management of engineering investment; SOC 1 Type II compliant.
• Engineering Benchmarks Standalone benchmarking product that lets engineering organizations compare their engineering performance metrics against industry and peer benchmarks.
• Jellyfish Assistant AI-powered natural-language assistant that lets engineering leaders ask questions of organizational engineering data and receive synthesized, actionable answers, with proactive surfacing of risks, trends, and guidance across delivery, planning, allocations, and AI Impact data.
• Data Hub Data platform layer that lets engineering, product, and finance teams explore, query, and reason about organizational engineering data (allocations, work, AI usage) via natural language and structured exploration, with custom dashboards and AI-assisted queries.

Quantifiable outcome

• Siigo: 30% increase in team performance and significantly more predictable delivery
• +11 more outcomes

Named customers40 records

Segments7 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration39 records

AI capability12 records

Feature8 records

Partnerships

17 partnerships are on record, tiered flagship and core.

• AugmentflagshipStrategic or Co-development Partner · 18 February 2026Augment and Jellyfish partnered to develop a system that measures the impact of AI tools on software development productivity and quality. The integration enables leaders to quantify AI's contribution through key metrics such as cycle time, code quality, and ROI.
• OpenAIflagshipStrategic or Co-development PartnerJellyfish and OpenAI teamed up to measure the impact of AI coding tools; research collaboration featured in the Research Library and AI Impact Framework.
• HarvardcoreStrategic or Co-development PartnerJoint Harvard & Jellyfish research on whether AI is making developers faster and where business impact shows up; published in the Research Library.
• Amazon (Amazon Q Developer)coreTechnology or IntegrationNative integration with Amazon Q Developer to evaluate adoption and impact across teams, repos, and initiatives. Co-marketed in 'Measuring Developer Productivity with Amazon Q Developer and Jellyfish' materials.
• GitHub CopilotflagshipTechnology or IntegrationFeatured integration that evaluates Copilot usage and impact to quantify AI productivity across teams; prominent in customer case studies.
• CursorflagshipTechnology or IntegrationFeatured integration that evaluates Cursor usage and team-level impact to measure AI-assisted development gains; cited in Hootsuite case study.
• Claude CodeflagshipTechnology or IntegrationFeatured integration to assess Claude Code adoption and outcomes to quantify AI-assisted productivity gains; central to the tokenmaxxing/token-spend research.
• CodexcoreTechnology or IntegrationIntegration to evaluate Codex adoption and impact to quantify AI-assisted developer productivity gains.
• KirocoreTechnology or IntegrationIntegration to evaluate Kiro adoption and usage to quantify the productivity impact of AI-assisted development.
• CodeRabbitcoreTechnology or IntegrationIntegration to evaluate AI-assisted code review speed and efficiency via the GitHub Copilot – Reviewer agent.
• DevincoreTechnology or IntegrationIntegration to assess the impact of Devin as an autonomous agent on engineering workflows.
• GreptilecoreTechnology or IntegrationIntegration to evaluate Greptile adoption and assess AI-assisted code review speed and efficiency.
• Gemini Code AssistcoreTechnology or IntegrationIntegration to measure Gemini Code Assist adoption and impact across developers and repos.
• Jira (Atlassian)flagshipTechnology or IntegrationFeatured integration that syncs epics, issues, and statuses to track delivery and investment allocation; foundation of the Resource Allocations product.
• GitHubflagshipTechnology or IntegrationFeatured integration that syncs repos, PRs, and issues to map work and measure cycle time; the primary data source for engineering metrics.
• LinearcoreTechnology or IntegrationFeatured integration that syncs issues and projects to visualize delivery progress and cycle times.
• Azure DevOpscoreTechnology or IntegrationFeatured integration that connects repos, pipelines, and boards for full delivery visibility.

Scale indicators19 records

Recent moves6 records

Expansion highlights7 records

Direct peers

• LinearB: LinearB is a direct competitor offering an engineering productivity platform with workflow automation, delivery forecasting, and developer metrics targeting engineering leaders — overlapping almost entirely with Jellyfish's Operational Effectiveness and Business Alignment modules.
• Swarmia: Swarmia is a direct peer in engineering effectiveness and developer experience measurement, with a strong focus on DORA/SPACE metrics, AI tool ROI, and team-level delivery insights — directly addressing the same buyer (VPs of Engineering, CTOs) and overlapping with Jellyfish's Developer Productivity and DevEx modules.
• Waydev: Waydev is a direct peer providing engineering analytics for software development leaders, with PR-cycle-time, sprint, and team performance dashboards — competing for the same engineering executive buyer on similar core metrics.

Emerging players

• Faros AI: Faros AI is an open-source engineering intelligence platform that aggregates SDLC data into a unified data model with AI-assisted queries — overlapping with Jellyfish's Data Hub and AI Assistant capabilities, and positioning as a more developer-led alternative.
• Code Climate: Code Climate provides engineering intelligence and code quality/maintainability analytics; it overlaps with Jellyfish on engineering metrics and velocity tracking while differentiating on code-quality dimensions (Velocity + Quality).
• Haystack: Haystack is an engineering productivity measurement tool focused on cycle time, pull request analytics, and developer experience — addressing a similar mid-market engineering leader with lighter-weight implementation than Jellyfish's enterprise stack.

Broad incumbents

• Planview: Planview (with Tasktop and LeanKit) is a broad incumbent in enterprise strategic portfolio and engineering work management, serving the same VP-Eng/CPO buyer as Jellyfish with overlapping resource allocation and flow metrics but as part of a much wider portfolio suite.
• Pluralsight Flow: Pluralsight Flow (formerly GitPrime) is an engineering analytics platform measuring developer productivity and team performance — a direct overlap with Jellyfish's metrics modules, now wrapped inside Pluralsight's broader developer-skills catalog.
• GitLab: GitLab is a broad DevOps platform whose Value Stream Analytics and GitLab Duo (AI) features overlap with Jellyfish's engineering metrics and AI Impact functionality as native capabilities bundled into a much larger DevOps suite.
• Atlassian: Atlassian's Jira Align and Atlassian Analytics extend into engineering resource planning and delivery analytics — competing for the same enterprise engineering/PMO buyer that Jellyfish targets, but as part of the broader Atlassian work-management ecosystem that Jellyfish sits on top of via Jira integration.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/_jellyfish_co
• YouTubeyoutube.com/channel/UCW8y7ZWnOa9hXBcwFf_xfCw
• LinkedInlinkedin.com/company/jellyfish-co
• Instagraminstagram.com/_jellyfish_co
• Facebookfacebook.com/therealjellyfish

Compliance5 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles9 records

Funding overview

Funding rounds4 records

Investors7 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Jellyfish