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Arrio vs Jellyfish
Both help leaders understand software, and they do different jobs for different people. Jellyfish helps engineering leaders manage the work from the inside. Arrio gives the budget owner an independent read of what the work produces. Here is how they compare, in plain terms.
Jellyfish
Engineering management, from the inside.
A Software Engineering Intelligence platform for engineering leaders. It integrates with the tools teams already run to show allocation, flow and R&D spend, and helps VPs of Engineering and CTOs manage and report on how the organisation works. Built to run engineering well.
Arrio
Independent measurement, from the outside.
An independent read of what the software investment produces, for the people who fund it. It reads the work itself from the codebases, grounds it in cost, and reports to the CEO, CFO and CIO in business terms, including whether the AI investment is paying off. Built to govern the spend.
Side by side
Where they differ
| Jellyfish | Arrio | |
|---|---|---|
| Who it is built for | Engineering leaders. VPs of Engineering, CTOs and their managers, running and reporting on the engineering organisation. | The budget owner. CEOs, CFOs and CIOs who fund software and answer for the return, in their own language. |
| What it measures | Engineering activity, allocation and flow: where effort goes, how work moves, R&D spend allocation. | What the investment produces: output and value across teams and vendors, set against cost, and whether the AI spend pays off. |
| Where the data comes from | Integrations with the tools teams already run: issue trackers, git and CI, read as engineering telemetry. | The work itself, read from the codebases, plus cost. Not dependent on how diligently tickets are kept. |
| Relationship to the teams measured | A platform the engineering organisation adopts and runs for itself. | An independent outside read. Does not sell the tools it measures, does not host your code, no incentive to inflate. |
| Time to first insight | Builds up as integrations connect and history accrues in the platform. | Days. The first reading includes history, so it arrives with a trend already in it. |
| Commercial model | Per-contributor SaaS subscription. | Not published. Speak to us about pricing and services. |
Comparison by design and audience, based on each company’s publicly stated purpose. Not a feature-by-feature ranking.
Would you like to know more about our pricing and services? Speak to our founders.
It is not either / or
Keep the tools that run engineering. Add the read that governs the spend.
An engineering intelligence platform and an independent measurement answer different questions for different people, and many organisations have reason for both. The test is simple: if you need engineering to manage its own flow, that is one job; if you need an answer the board can trust about what the investment produced, that is Arrio’s. Understand the wider picture in measuring software development.
What is the difference between Arrio and Jellyfish?
Jellyfish is an engineering management platform: it helps engineering leaders see allocation, flow and R&D spend by integrating with the tools their teams already run. Arrio is an independent measurement for the budget owner: it reads what the software investment produces from the code itself, grounds it in cost, and reports it to the C-suite in business terms. One helps engineering run well from the inside. The other tells leadership, from the outside, what the investment is worth.
Is Arrio a Jellyfish alternative?
It depends on the question you are answering. If you want engineering leaders to manage allocation and flow, a platform like Jellyfish is built for that. If you want an independent, board-level answer to what your software spend produces and whether AI is paying off, that is a different job, and it is the one Arrio does. Many organisations will have reason for both.
Why does independence matter in this comparison?
A platform the engineering organisation runs for itself is measuring its own work, which is right for operational management but not for an assurance the board can lean on. Arrio is independent by design: it does not sell the tools it assesses, does not host your code, and has no stake in the number. That distance is what makes the reading trustworthy to the people who fund the work.
Do Arrio and an engineering intelligence platform overlap?
Less than it looks. Activity and flow metrics describe how a team works; they were not designed to say what the work was worth to the business. Jellyfish’s own benchmark study makes the point: across 37 million pull requests it found revert rates climbing from about 5% to 11% as AI usage grows (Jellyfish, 2026). That is a real signal about how work is changing, reported to engineering. Arrio measures the value and the return, independently, and reports it to the budget owner.
Can we use Arrio alongside the engineering metrics we already have?
Yes. Keep DORA, flow metrics and any engineering platform; they are useful for running teams. Arrio adds the independent value layer on top, for the people who own the budget. It does not replace how engineering runs, it answers what engineering produced.
Sources
- Jellyfish, 2026 AI Engineering Trends benchmark study: 37 million pull requests, more than 1,000 companies and 200,000 engineers. Its ‘The AI Divide Is Growing’ report (April 2026) records revert rates rising from about 5% to 11% as AI usage grows.
- Company positioning, 2026 Product descriptions reflect each company’s publicly stated purpose and audience; comparison is by design and audience, not a feature-by-feature ranking.
Get the independent answer the board can act on.