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Hivel VS Jellyfish

Looking for a Jellyfish alternative?

Jellyfish tells the board where your engineering time went. Hivel tells you if your AI investment actually made code better or created hidden tech debt.
Free AI ROI Report

Get the full picture on your AI adoption and impact.

We'll show you exactly how AI is impacting your speed and code quality.

NO CODE ACCESS
FREE AI ROI REPORT
NO CREDIT CARD
4.7/5
Book Demo
Read-only access · no engineering lift · runs alongside LinearB, Jira, and your existing CI/CD.
1000+
Engineering Teams
4.7/5
on G2
48 hrs
to first insight
The 10-second verdict

Two platforms, two different jobs

Built to report

Jellyfish just generates reports, a platform for resource allocation, business alignment, and finance, with AI usage and token-cost dashboards. It tells leadership how effort and spend are distributed.

Built to improve

Hivel turns static AI usage charts into actionable engineering leverage. By linking PRDs, commits, deployments, and incidents into one live graph, it proves whether your AI coding spend is shipping safe value or hidden tech debt, and delivers ranked recommendations where decisions happen.
Same question, different answer

What each tool tells you when you ask it something real

The figures below are representative examples of the kind of answer each tool returns, not results from a named customer.
Why did last night's incident happen?
Jellyfish answers
Delivery and allocation metrics for the affected team, on the dashboard.
Hivel answers
Traced to a specific PR merged six hours earlier, flagged as AI-generated at the commit level, in a module that produced a near-identical incident three months ago. The ranked next action is already in that repo's PR checks.
Is our AI coding investment paying off?
Jellyfish answers
68% of engineers have an AI licence, token spend is up 40% this quarter, and DevEx survey sentiment is positive. Adoption is healthy.
Hivel answers
68% have a licence, but 31% have not used it in 30 days - that is recoverable spend. Of the AI code that did ship, rework runs higher than human-written code in two of five teams, and the gap is test coverage, not the model.
How much of last quarter's engineering cost can we capitalize?
Jellyfish answers
An audit-ready breakdown by initiative, mapped to capitalizable vs expensed work, in the format your finance team and auditors already accept.
Hivel answers
An automated Cost Capitalization dashboard that maps total work item costs, story points, and Team Capacity Equivalents (TCE) directly to initiatives. Automatically classifies capitalizable vs. non-capitalizable spend, catches orphaned work costs, and delivers audit-ready reports without manual logging.
side by side

Where the choice is real

Dimension Jellyfish Hivel
AI measurement depth Usage level: adoption trends, token spend, AI DevEx surveys. Code level: detects AI‑generated commits and traces them through PR, deploy, and incident.
Turns insight into action Partly. Insights surface in dashboards, reports, and its AI assistant. Ranked next actions throughout the tool land in the PR, story points, Lucy chatbot, and Slack at the moment of decision.
Time to first value Weeks. Reviewers consistently describe a real configuration phase before value arrives. [1] 48 hours to first usable insight for most teams. Read‑only, no engineering lift.
R&D capitalization & tax credits Yes. Automated, audit‑ready DevFinOps module. Automated CapEx/OpEx classification across Jira labels, story points, and Team Capacity Equivalents (TCE) with audit-ready exports for DevFinOps.
Benchmark dataset scale Larger historical set. Seven years of industry research across 700+ companies. Benchmarks across 1,000+ engineering teams, built in the AI‑coding era; reflect how software is actually written now.
Deployment & pricing SaaS only. No price published at all, quoted by sales per seat and module. [2] SaaS, on‑prem, or multi‑cloud. Growth price starts at $25/user per month; details below; Enterprise is custom.
Proof, not adjectives

Results Hivel customers report

After adopting Hivel, Freshworks reported a reduction in hotfix rate and an increase in feature throughput.
26%
FEWER HOTFIXES
+16%
more features shipped
6-8x

typical ROI within 6 months (Hivel data)

1,000+

engineering teams on Hivel

19%

cycle-time improvement,
Sopra (Euronext: SOPR)

56%

faster release cycles, AvidXchange (NASDAQ: AVDX)

Pricing, both sides

What each one actually costs

Quote only
- Budget the configuration and rollout phase alongside the licence
$25
/ user / month, billed annually
- Growth plan annual billing saves 20%.($20/mo per user)
- Billed per code committer only (PMs, QA, and EMs free).
- Deployment available Cloud, On-Prem, and Multi-Cloud supported for all.
- Custom flat pricing for 200+ developers.

Know your AI leverage in 48 hours

Hivel connects your whole lifecycle, from requirement to production incident, into one graph, detects AI-generated code at the commit level, and recommends the next action. LinearB tells you the number; Hivel tells you what to do about it.

Switching is days, not a migration

Day 1
Day 3
Day 5
Connect Git, Jira, CI/CD, and AI tools with read-only OAuth. No agents, no code changes.
Board-ready AI ROI report: spend, utilization, recoverable waste, shipped-outcome gains.
Trend lines, ranked next actions, and team-level comparisons, as history builds behind the benchmark.
Which one is right for you

Two different questions, two different tools

Stay with Jellyfish if…

Audit-ready R&D capitalization and tax-credit reporting is your primary deliverable a tool focused on CFOs.
Allocation reporting for the board is the main job.
You have the capacity for a longer configuration and rollout phase.

Add or switch to Hivel if…

You want total alignment across CFOs, managers, and developers - connecting AI spend to code provenance, rework hotspots, and production incidents.
Your CFO or board is asking whether AI coding spend ships value, and adoption percentages are not an answer.
You want insights landing in the PR, Jira, and Slack, where people can act on them.
You need on-prem or multi-cloud deployment.
You want first insights not after a rollout project, and dedicated DevEx experts.

Frequently asked questions

How does Hivel measure AI adoption differently from Jellyfish?

Jellyfish measures AI through tool usage data, token spend metrics, and developer surveys. Hivel detects AI-generated code at the commit level and traces it through PR, deployment, and production incidents. One tells you AI is used. The other tells you what AI code did to your codebase.

Can I run Hivel alongside Jellyfish?

Yes. Hivel connects read-only and runs alongside anything you already have. Most teams see their first usable insight within 48 hours. Nothing to migrate, no write access to your code, no engineering lift.

What does each platform cost?

Hivel publishes its Growth price: $25 per contributor per month billed monthly, or $20 billed annually, for teams of 20 to 200 developers. Above 200 developers, Enterprise pricing is custom. Jellyfish publishes no price at any tier; cost is quoted by sales based on seats and modules.

Does Hivel handle R&D capitalization reporting?

Yes. Hivel includes a native Cost Capitalization dashboard that automatically maps work item costs, story points, and Team Capacity Equivalents (TCE) directly to initiatives. It classifies capitalizable versus non-capitalizable spend, flags orphaned work costs, and exports audit-ready reports without requiring manual time-tracking. While Jellyfish handles capitalization through a dedicated DevFinOps module, Hivel includes this directly alongside your engineering outcome and AI leverage analytics.

How long does it take to set up Hivel?

Hivel connects read-only, and most teams see their first usable insight within 48 hours. Jellyfish reviewers describe a longer configuration phase, particularly initiative mapping and multi-project Jira setup.

Is my code safe?

Hivel never needs write access to your code. Connections are read-only, and Hivel is SOC 2, GDPR, and ISO compliant, with on-prem deployment available for regulated environments.

Still deciding?

Free AI ROI Report

Get the full picture on your AI adoption and impact.

We'll show you exactly how AI is impacting your speed and code quality.

NO CODE ACCESS
FREE AI ROI REPORT
NO CREDIT CARD
4.7/5