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9io.ai / Product engineering

Getting to a demo is easy. Getting to production is the job.

One senior team takes your product from an empty repository to something real users rely on: the architecture, the interface, the code, the tests, the release path and the alerting that wakes somebody when it breaks.

If yours is half-built and stuck, that's a common place to start too.

Covers ArchitectureDesignWeb & mobile TestingReleaseOn-call One team owns all of it, so nothing falls into the gap between two vendors.
Why builds stall

Six places it goes wrong.

Most stalled products aren't stalled on ideas or effort. They stall because the work was bought in pieces, nobody senior owned the whole of it, and the unglamorous half was never anyone's line item.

The MVP keeps almost shipping

There's always one more thing. Scope was never cut into stages with an agreed finish line, so nothing is ever done — only more or less in progress.

Four vendors, no owner

Design with one supplier, the build with another, infrastructure with a third. The defects live in the seams, and every problem is arguably somebody else's.

You bought a demo, not a product

It works when clicked in the right order. No tests, no error handling worth the name, no environments — and the first real user finds the edge nobody walked.

Nobody owns the invisible half

Analytics, SEO, accessibility, email deliverability, consent, backups, performance. None of it demos well, so none of it was scoped — and all of it arrives later as an invoice.

Launch day, and no one is on call

Monitoring is a browser tab someone remembers to check. The first outage is reported by a customer, and nobody can say which deploy caused it.

It shipped, and now it can't move

Every change costs more than the last. The data model fought the second feature, nothing is documented, and nobody senior can answer: extend, refactor or rebuild?

What you get

A product, and everything that keeps it alive.

Which of these apply depends on what you're building — the proposal says so explicitly, before anything starts.

An architecture you can defend

The pieces and their boundaries, the data model, the integrations and the failure modes that matter, with the trade-offs written down. Enough that a new engineer can read it and know why it's shaped this way.

A designed interface, not a default one

Screens and states engineers can build without inventing the gaps: a design system, real content, the empty and error states, and accessibility held from the first checkpoint.

The product itself, in stages

Built by senior engineers who own features end to end, reviewed against the standard the CTO set, tested, and released continuously rather than in one big frightening drop.

A release path that runs

Infrastructure as code, continuous deploys, a staging environment with a login you get early, alerting, and a performance budget enforced while the code is written.

The invisible half, included

Analytics, technical SEO, accessibility, email deliverability, consent handling and tested backups — part of the build rather than a post-launch quote. What's included →

A handover that survives us

Documentation kept current, a runbook for the failures you can expect, environments and secrets handed over properly, and a 90-day warranty on delivered work.

How it works

Three steps, no surprises.

Tell us what you're building

One email is enough. If there's already a codebase, the first block of work is an honest read of what's in it.

Get a proposal with names on it

What gets built in what order, who'd do it, how many hours, and the rate for each person.

Watch it get built

Infrastructure goes live early, then a staging link and a short update every Friday. You're invoiced only for work that's landed.

Rescue, refactor or rebuild — priced, not implied Your code, in your repository, from day one All the terms →
Proof

We don't show client logos. We show something we built.

9io Alpha is a market research platform we designed, built and run — from data ingestion all the way to the order that reaches a broker, and the alerting that keeps it up.

The domain, certificates and deploy pipeline went up before the product did, so every layer since has shipped onto infrastructure that already worked. That's the order of operations your build gets too.

Take a look →
  • BuiltEvery layer: ingestion, research pipeline, interface, integrations.
  • ShippedOnto live infrastructure from the first week, not assembled at the end.
  • OperatedContinuous deploys and alerting, in production today.
In production today
Before you get in touch

Questions we get a lot.

How long does a first version take?

A first version that does one thing properly usually takes weeks. Live data, several integrations or rules you have to comply with will push that out, and any studio that gives you a fixed number before reading your problem is guessing.

What is fixed from the start is the shape: short stages, and something you can open at the end of every second one.

Can you take over a product someone else built?

Often, and it's a common way engagements start. The first block of work is an honest read of what's there: what's load-bearing, what's a liability, what's tested, and what it would cost to fix, extend or replace it, with each option priced.

Sometimes the finding is that a rebuild costs less than the rescue. We'll say so rather than bill you for a year of patching around it.

What happens after launch, and who is on call?

Uptime and error alerting are wired up before the product goes live, so a failure reaches a person instead of waiting for a customer to report it, and delivered work carries a 90-day warranty. Beyond that, on-call cover and continuing work run on the same hourly basis — dropping to almost nothing between pushes and rising again when you're shipping.

Do we own the code, and could another team pick it up?

Yes to both. Code lives in your repository from the first commit, history and infrastructure definitions included, and ownership transfers as each milestone is paid. The architecture is written down and the runbook kept current for exactly this reason: if you move the product to an in-house team or another studio, they should be able to read it and carry on without calling us.

When should we build an in-house team instead?

When the product is the company and you expect a substantial permanent engineering team inside the year, hire. When the hard part is domain knowledge that has to live inside your walls, hire.

A studio is the right answer while the shape of the product is still being decided, while capacity needs to move with the roadmap, and while a permanent payroll line would be a bet on an unproven plan. A fair number of engagements end with us helping a client hire the team that replaces us, and that's a good outcome.

Get in touch

Tell us what you're building.

Describe the product, where it is today and what's in the way. You'll get a straight read on what it would take to reach production — including the parts you won't want to hear.

Replies come from the person who'd do the work.