For engineering teams

Your team is at capacity. The backlog is not going to clear itself.

Work that's funded, agreed, and still not moving, because pulling anyone off the core product costs more than leaving it undone. We add throughput without adding headcount, on your stack and against your gates. The part worth keeping is what's still running after we leave: spec-driven development, a gate model above your review, and a reference repository your next project can be built from.

Book the call → See how it works

01 / What we take on

The work that never gets to the top of the list.

Your engineers aren't slow. They're spoken for. The work below is real, funded, and agreed, and it still doesn't ship, because pulling anyone off the core product costs more than leaving it undone.

The backlog that has sat for quarters

Named items that survive every planning session without ever starting. We take one and ship it, on your stack and against your gates.

AI code nobody wants to own

Something generated fast, merged under pressure, and now untested and unclear. We specify what it's meant to do, cover it, harden it, and make it safe to change.

New surfaces and integrations

An adjacent product, a customer-facing API, a connection into a system you already run. Contained work with a clear edge, which is exactly what the factory is good at.

Rewrites you keep postponing

A service everyone is scared of. We specify the behaviour first, so the replacement is provably the same where it matters and better where it doesn't.

02 / The practice you keep

The throughput is the visible half. The practice is the half that lasts.

A contractor leaves you with code. The thing worth having is the way of working that produced it, running in your repository, on your CI, after we've gone.

Spec-driven development

Acceptance criteria written as tests before any code exists. The contract is the test, so "done" stops being a matter of opinion and starts being something CI can answer.

A gate model above your review

We don't replace your review process. We put a stricter machine bar in front of it, so by the time a human looks at a change it has already passed seven test types and a four-axis review.

AI engineering that holds

How to put agents on rails: where they're reliable, where they're not, what has to be deterministic, and which gates make the difference. The part most teams spend a year learning the hard way.

A reference repository

One project wired correctly end to end, documented, that your next project can be built from. It keeps working whether or not we're still here.

Some uplift is part of the job, not an upsell.

Most teams need something sharpened before the factory can run well against their stack: a CI pipeline, a thin test suite, a design system that needs consistent patterns, an architecture that was never meant for machine-driven change. A reasonable amount of that's in scope on every engagement, because we need it to be true as much as you do. We'll tell you on the first call if what you have is further out than that.

03 / Who drives

We run the build. Or your team does.

This is a genuine choice, and it's the one place where an experienced product team can get more out of us than we can offer anyone else.

Most engagements

We build it

You bring the priorities and the knowledge of your users. We run the build end to end and hand you working software, with our engineers accountable for what ships. Nobody on your side has to learn our machinery, and nothing waits on your team having spare capacity.

Spec Build Test Deploy Run

For experienced product teams

You drive the factory

If you already have product people who write sharp acceptance criteria, they can take the controls and set their own cadence. Our engineers stay on the rails and the gates don't move. It asks more of your team, and it pays off for teams that can meet it, because the people closest to your users end up with nothing between what they know and what ships.

Your backlog Your cadence Our rails

One port in, and it's one you already have.

The factory runs on our infrastructure and connects to your world through GitHub and GitHub Actions. Nothing else is required, and it never reaches into your environment directly. Your QA and production environments stay yours, your access controls stay yours, and your audit trail stays yours. Your code is never used to train models.

Build contract Dockerised builds · A scripted build and test wrapper · GitHub Actions · Storybook preferred, Figma supported

04 / What it costs

Priced to the work, not to a bench.

You're buying delivered work, not seats. There's no account layer to fund and no bench to keep warm through a quiet month.

A defined piece of backlog gets a fixed price. Work that runs alongside your team, or can't be sized until we're in the codebase, is billed on time at a rate agreed before we start. No minimum term either way. The gates, the tests, and the practice your team keeps are part of the engagement rather than a separate consulting line. Extended security activity, CI providers other than GitHub Actions, and hosting are priced separately when you want them.

Tell us what has been sitting.

Tell us about the work that keeps surviving planning, or the AI-written code nobody wants to own, and we'll tell you what it takes to clear it. A 45-minute call, no pitch and no obligation. You leave the call knowing the scope, the timing, and how we'd price it. If we're not the right team for it, we say so.

hello@cercury.ai Everything we do

We earn the next month on the work, not on the lock-in.