Software development as a service · powered by Octopus
You buy lanes, priced by the lane and never by the hour. Each lane is a live copy of your product with Octopus attached, carrying one task at a time from analysis to deploy, while specialists in several time zones approve every gate. Three lanes, three things moving at once.
Checkout fails on Safari
dev agentStripe webhook retries
approved · MAD 19:02Onboarding email sequence
deployedRuns on Octopus, the delivery pipeline we built and ship with every day.
See the toolTwo months of ramp-up for a new hire was the real number in 2023. Teams are still budgeting for it.
Meanwhile the work sits. A senior spends Thursday explaining the codebase instead of writing it. Three people wait on one review. And there is one person everybody is quietly afraid will resign, because the context lives in their head and nowhere else.
All of that is a capacity problem wearing a talent costume.
Pays for: ramp-up, meetings, and the week someone is blocked.
Pays for: work that reaches your main branch, at a number agreed before it started.
See the pipeline a lane runs on →A lane is not a person and the comparison is not clean. What you can compare is what each one costs you to keep: a lane is billed by the month and you stop paying for it at the end of any month.
Base salary: US averages from Built In and ZipRecruiter, 2026. The 1.25 to 1.4 loaded multiplier and the 20 percent contingency fee are the standard ranges. Time to hire is the 2026 industry average.
How we work
Every task you send gets its own lane: a live instance of your product on our side, Octopus running its stages against it, and the specialists who approve each gate. Nothing is shared between concurrent tasks. Here is what happens to one of them.
The same board we work from. The task gets its own lane the moment it lands, and you watch it move through every stage.
The analysis agent reads the ticket and the repo, answers the functional question nobody asked out loud and turns it into test cases. A human signs the spec before anything moves.
The dev agent works in its own sandbox with the tests already written. Linters, static analysis and custom rules run first, because a linter does not get talked into an exception. Then it opens the pull request.
The testing agent walks each case and records a video annotated step by step, with before and after screenshots across the viewports that matter. QA reviews up to 450% faster.
The auditor agent comes in clean of the development context, with no stake in the code. A senior Mister.D expert reads its report instead of the full diff, overrules it when it is wrong, and approves.
The change ships, and the task comes back with the video, the pull request and a report. If you have engineers, the PR reaches them like any other.
A human cannot read every line an agent is about to commit and still keep the speed the agent gave you. So we changed what the human reads: a verdict, a video and a report.
The test is the spec made executable. It has no memory of how confident anyone felt on Tuesday.
Reviewing agents are clean of the development context. Alternatives are mandatory. Our own seniors do not get a pass.
Each specialist keeps their own set of agents for their area, and fixes the agent when the same disagreement shows up twice.
The tests, the reviews, the specialists and your analyst do not change. What changes is how fast your queue drains.
Judgment is the scarce resource on an engineering team, and we stopped spending it on line-by-line reading.
This pipeline is Octopus. You can run it in your own team.
Evidence
The testing agent turns the ticket’s acceptance criteria into test cases, runs each one in a real browser and records it. Every click, every assertion and every failure is marked on the video, and the video lands on your task. A QA expert on our side watches it and signs off, or flags the exact step that broke.
Built on the pipeline
These are our own products, not client case studies. We built them to find out what the pipeline could carry. Read the customer count and the scope separately.
NestJS backend, two Flutter apps, a full backoffice, multi-tenant data, real auth, real deploys. In production. Zero paying customers, and we lead with that because you would find out anyway.
What it demonstrates: production capability, which is the only thing you are buying from us. Market fit stays yours.
Serverless, Stripe and MercadoPago wired in, QR validation at the door, several organisers on the same infrastructure without ever seeing each other.
What it demonstrates: the trade-off got written down next to the decision. That is what our specs look like on every feature.
A board where every task, agent and worktree is visible. Agents sandboxed per container, SSO and MFA and an audit trail, in one Docker container you run yourself.
It started as the tool we kept failing to build. It is the reason the others shipped.
Explore Octopus →The tool behind the work
Every task we ship for a client goes through Octopus: a Claude agent on each stage, an auditor that can block the work, and an expert who signs off before anything merges. The same pipeline is available as a product, installed on your servers.
Add SSO to the admin panel
What comes in the box
Two ways to use it
We run Octopus for you.
Your team runs it on your servers.
Security
On the second call, nobody asks about speed. They ask what gets access to the repo. If that question does not come up in the first minute, check your instincts.
Signed on the first call, before anything else. It covers third-party tooling too.
Before we pull your code you get the list of models and vendors it runs through, and you mark the ones you do not want near your repo.
Closed environments on our side. Nothing shared between tasks, torn down when the task closes. Only the keys the build needs, and anything we can mock, we mock.
A set of workflows so we can open PRs and update the wiki. No production access on day one, and nothing that can deploy until you decide otherwise.
Every model on the list comes with terms that keep our traffic out of their training data. Free tiers that pay for themselves with your code never make it on, whether or not you ask.
Several projects run agentic deploys today. Each one took months to build, and none starts until you decide.
Guarantees
Signed on the first call, before anything else.
You cancel at the end of any month. There is no exit conversation.
Every pipeline and workflow we install stays in your repo.
The code, the repos and the pipelines are yours from the first commit. If you leave, they stay with you.
The way in
We sign the NDA, you walk us through what is stuck, and we tell you how many lanes it would take to move it. One call, no proposal document, no second round of discovery.
You leave with the number of lanes, the first tasks we would put in them, and what we need from your side to start. From the first task on, every step runs through Octopus and you can watch it.
Want the pipeline inside your own walls? See Octopus →
The NDA is signed on that call, before anything else moves.
You leave knowing how many lanes your backlog can keep busy.
If that number is under three, we say so on the call.
You do. The code, the repos, the pipelines and every workflow we install. If you leave, they stay with you.
The PR arrives to them and they review it like any other. Where the PRs land is a decision we make with you at onboarding, not a default we impose.
On day one we have no production access and nothing that can deploy. What we install opens PRs and updates the wiki, so your pipeline and your reviewers stand between a branch and your users. Agentic deploys come later, once there is a harness around them, real metrics on the project, and a set of accesses you configure on your side. Several projects run that way today and each one took months to get there.
Three lanes is the floor. You can add lanes as the backlog grows and drop any of them at the end of any month.
Distributed across US, EU and LATAM time zones. Tasks that need a human decision have someone awake for them.
Then we would sell you Octopus instead. One Docker container you run yourself, your agents inside your walls.
How Octopus works →