3 lanes
$8,000/ month
The floor. Three tasks moving at once, which is where a backlog starts to drain instead of shuffle.
SDaaS, priced by the lane
You buy lanes, priced by the lane and never by the hour. One lane is a live copy of your product with our pipeline attached, carrying one task at a time, and specialists on call to approve every gate. Three lanes, three things moving at once.
Three lanes, $8,000/mo. Five lanes, $10,000. Every lane after that, $1,500. Cancel at the end of any month.
Thirty minutes on a call, the NDA signed there, and you leave knowing how many lanes your backlog can keep busy. The price is on this page, so there is nothing to quote.
Two 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.
A chair, occupied. Ramp-up, meetings, and the week someone is blocked.
Work that reaches your main branch, at a number you agreed before it started.
A lane is not a person and the comparison is not clean. What you can compare is what each one costs you to keep. Three lanes are $8,000 a month and you stop paying for them 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.
A lane is the smallest piece of capacity that can carry a task all the way through: a live instance of your product on our side, the pipeline running its stages against it, and the specialists who approve each gate. None of it is shared between concurrent tasks. That is why it is the unit.
$8,000/ month
The floor. Three tasks moving at once, which is where a backlog starts to drain instead of shuffle.
$10,000/ month
Two more lanes for two thousand more, which is the cheapest capacity on this page.
+$1,500/ month
From the sixth on. Add one for a busy quarter, drop it at the end of any month.
Cancel at the end of any month. Everything we install stays in your repo either way.
The pipeline, the tests, the reviews, the specialists, your analyst. Quality was never going to be the thing we charge extra for. What changes is how fast your queue drains, and you watch that happen on the same board we do.
Book the 30-minute callA 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.
Every ticket hides a functional question nobody asked out loud. The spec answers it, with the technical background attached, and a human signs it before anything moves.
The test is the spec made executable and unforgiving. Everything else rots within a sprint. The test has no memory of how confident anyone felt on Tuesday.
Linters, static analysis, custom rules. A linter does not have a bad day and does not get talked into an exception. Half of what people call AI review is this layer.
The reviewing agents are agnostic and clean of the development context, so they have no stake in what they are reviewing. Alternatives are mandatory. Our own seniors do not get a pass.
Each specialist keeps their own set of agents, built by them, for their own area. They read a verdict from something they built, overrule it when it is wrong, and go fix the agent when the same disagreement shows up twice.
UI changes arrive with before and after screenshots across the viewports that matter. Features arrive with a video of an agent walking the flow. QA opens a link to that branch already deployed, already logged in, with the data preloaded.
Judgment is the scarce resource on an engineering team, and we stopped spending it on line-by-line reading.
The stages are composable, so onboarding includes designing yours. One of our clients is a fintech, so their pipeline has a stage that does nothing but hunt for security problems. No other client has that stage. Two products with different needs get two pipelines.
Git strategy is its own conversation and people underestimate it. We run worktrees on our side, so where the PRs land is a decision rather than a default. If you have engineers, the PR arrives to them and they review it like any other. Nothing about our process should show up in your git history as a surprise.
On the second call, nobody asks about speed. They ask what gets access to the repo. If that question does not arrive within a minute, something is off with your instincts.
We pull your code into our infrastructure. Before that happens you get the list of models and vendors it will run through, and you mark the ones you do not want near your repo.
Every model on that list comes with terms that keep our traffic out of their training data. The free tiers that pay for themselves with your code never make it on, whether or not you ask. Blocking one of the rest is a line in your pipeline config, and it stays blocked.
Your repos are mounted in closed environments on our side. One container per agent, nothing shared between tasks, torn down when the task closes.
Which agent, which model, what it touched, when. The log itself, not a summary of the log.
We ask for what the build needs and tell you what each key is for. 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. Several projects run agentic deploys today, and each one took months to build.
Signed on the first call, before anything else. It covers third-party tooling too.
The code, the repos, the pipelines and every workflow we install. If you leave, they stay with you.
If the answer is still no because the code cannot leave the perimeter under any circumstances, that is a legitimate position and we are not going to argue you out of it. That case is what Octopus is for: you run it yourself, one Docker container, SSO and MFA and roles, your agents inside your walls. Different product, and we would sell you that instead.
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.
I once spent a year building a library for an app that needed two weeks. The app never shipped and the library got abandoned, and I did some version of that more than once. My discipline never improved. The price of tooling collapsed.
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 would need from your side to start. The price is already on this page, so there is nothing left to quote.
We will come back within two working days with times for the call.
What we are working out as we go. No newsletter, no gate.