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Engineers who own what you ship

Building is easy now.
Engineering is what survives.

You need someone who owns the system. AI-native engineers embedded in your team, working your hours, and reachable at 3am when production goes down.

Get real engineeringGet a free codebase diagnosis

From $4,000/month all-in. No platform fee, no deposit. Nothing is invoiced until day 8. Walk away inside that first week and you owe nothing at all. Month to month after that.

What an agent has no reason to ask

An agent writes what you asked for. It does not ask what happens when the request arrives twice, when the table holds a million rows, or when a third-party call fails. Name the condition and it is handled. Nobody names them all, which is why the job is a person. A few are below.

The charge that ran twice

Passed review. Failed on a retry.

Reviewed, tested, shipped
Then one request times out
An engineer read the retry path
Fixed at the source
ShipsClean review. Tests pass. Works by hand.
  • A fresh idempotency key on each retry
  • Key sent, never stored before the call
  • Charge first, write the order row after it

The retry is correct. The key is correct. What is missing is that they have to be the same key, written down before the call goes out, so a timeout or a crash can still find it. Ask for idempotency and an agent delivers it. It does not ask what happens if the process dies mid-request.

From $0
Per month, all-in. Salary, benefits, local compliance where the engineer lives and their AI tooling
Still with us
Every client we have taken on
0 hours
To shortlist. Contract signed inside a week.
Day 8
Before anything is invoiced

Engineering delivered for

Loop DSPRedflag AIMantis VCPalo AIVentlyEdgeCase Capital

Engineering as a service. You are not buying hours or headcount. You are buying named people who are responsible for whether your software stays up.

The ownership

Named engineers answerable for your system, one or a whole team, inside your team and on your stand-ups in your timezone. Not a ticket queue and not an agency layer.

The management

Engineering management over the work, included from five engineers up and available below that for a fee.

The mess you already have

Most of our work starts in a codebase that was built fast and is now fragile. Reading it, stabilising it and owning it from there is the job.

The demo works. Then the users arrive.

Writing the code stopped being the hard part. Deciding what is worth building, and checking what comes back, did not.

A sign-in screen takes a morning. One that survives ten million accounts and somebody deliberately poking at it does not.

Why it matters now

This is measured, not our opinion. The same tools produce worse software when nothing about the process changes.

~0%
of AI-generated code ships with a known security flaw, and the figure has not moved in two years.
Source: Veracode, GenAI Code Security Update, Spring 2026. 100+ models tested. Accessed Aug 2026.
~0%
rise in the incidents-to-pull-request ratio as teams move from low to high AI adoption.
Source: Faros AI, The AI Engineering Report 2026: The AI Acceleration Whiplash, March 2026. Two years of telemetry, 22,000 developers across 4,000+ teams. Reported as 242.7%. Accessed Aug 2026.
$0+
per employee per month on AI, among the top 1% of US firms by AI spend.
Source: Ramp, AI Index, June and August 2026 editions. Card transaction data across 70,000+ US businesses. Reported as $7,449 per employee in June, and a median $7,400 for July. Accessed Aug 2026.

Four things you do not have to negotiate for

Standard on every account and written into the contract rather than offered as goodwill. Most of what goes wrong in an arrangement like this goes wrong here, so it is settled before you start.

01

Free swaps

If the engineer is not right for you, we replace them at no cost, as many times as it takes. You are never left paying for a bad fit or arguing about whether it qualifies.

02

Never double-sold

Your engineer works for you and nobody else. No shared allocation, no split attention, no second client on the other side of the day.

03

Your timezone

Engineers work the hours your team works, wherever that is. Tell us the overlap you need and only people already working it go on the shortlist.

04

The IP is yours

Contracts are written so everything the engineer produces belongs to you. Hours are logged in a GAAP-compatible format, which keeps R&D credits claimable.

Engineering management over the work, included from five engineers up

No client has left us yet.

Most arrangements hand over a developer and leave the managing to you. You can run it that way here, or put engineering management over the work. Delivery is owned on our side, what ships is reviewed, and someone answers for the account.

Included from five

Five engineers or more and management of the account costs you nothing.

Or added below five

Fewer than five, and a manager can still be attached for a fee.

An invite-only network. No application form, no job board.

Engineers our leadership has worked with, and the people those engineers vouch for. Everyone trained in-house before placement, not after.

400 → 20
Interviewed, to find a top twenty.
4 gates
Cleared before anyone reaches a client.
Trained
In-house, before placement. Not after.
Managed
Delivery on the account can be managed on our side.

Shortlist in 48 hours. Contract signed inside a week.

No job posting, no résumé screening, no procurement cycle. Tell us the stack, the seniority and the hours that have to overlap.

A 20-minute call

Enough to match properly: what you are building, what is already in flight, the stack, the seniority, and which working hours have to overlap.

Three profiles, not five

Three profiles. Each has assessment scores and the work they were assessed on, and is matched on the hours you gave us as well as the stack.

Contract signed, engineer starts

Tooling access, Slack, standup and the first ticket agreed in writing on day one. Hours are tracked and come out GAAP-formatted, so R&D credits are claimable rather than lost.

The first invoice, and your first decision

Nothing is invoiced until day 8. Walk away inside that first week and you owe nothing at all. Keep the engineer and week one bills with the first month. Month to month from there, so you can cancel any month.

What an engineer costs, next to what you already spend

One flat monthly figure, quoted the same way to everyone. It lands below what heavy AI adopters spend per employee on tooling alone.

An engineer from us

$4,000/month, all-in

Covers salary, benefits, local compliance in the engineer’s country and the AI tooling they work with. The band runs to $6,000 for specialist ML engineers.

  • No platform fee. No deposit.
  • Nothing invoiced until day 8
  • Month to month, cancel any month
  • Free swaps until you are happy
  • Engineering management included from five engineers

One engineer running several agents, with the process that makes what they produce fit to ship.

Tell us your problem →

What the alternatives cost, and what you get

A US senior engineer
$15,000+/mo loaded

One hire, after a search that runs for months.

AI tooling, heavy adopters
$7,000+ per employee

Capability on tap. Nobody applying judgement, and nobody to call when it fails.

A development agency
$150-250/hour

Fixed scope, change orders, and nobody left once the project closes.

Every engineer is trained in-house before placement, so you get our standard rather than whoever the market happened to send.

Sources: Ramp AI Index, June 2026. Senior engineer loaded cost and agency rates are market benchmarks and published rates.

No client has left us yet.

That is the fact we would point at rather than any of the rest. Clients typically run two engineers and stay.

Vently

Nicolas Khonaysser, CEO

MSA

Tyrie, Founder and CEO, My Service App

Loop DSP

Will Nichols, Co-Founder

What people ask on the first call

Or skip ahead. Get a free codebase diagnosis and three matched profiles come back instead of a brochure.

A platform matches you, invoices you and steps back. Whatever happens next is your problem. The AI Native engineer stays on the hook for the work. They are embedded in your team, works your hours, is never double-sold, and is answerable for the system they are running, not just the tickets they closed. Nothing is invoiced until day 8, swaps are free until you are happy, and the contract runs month to month. No client has left us yet.

At five engineers or more, yes, and it costs nothing extra. It is management over the account rather than a full-time manager assigned to you: delivery is owned on our side, what ships is reviewed, the cadence is kept running and are the person you go to when something needs deciding.

Judgement, and an AI Native engineer who owns the result. The tools are very good at producing code that runs, which is the dangerous part if nobody on your side can read it. Veracode has tracked this for two years: syntax correctness now exceeds 95%, while the share of generated code carrying a known security flaw has stayed flat at around 45%. So it compiles, it passes your click-through, the feature demos fine, and it can still be leaving your customer data reachable by anyone who asks for it directly. Those two outcomes look identical from the outside. If nobody can tell them apart before release, you are shipping on hope and finding out from a customer. That is the job we take off you.

Without discipline, measurably so, and the research is public. Veracode tested more than 100 models and found around 45% of generated code introduces a known security flaw, a rate that has not improved in two years (GenAI Code Security Update, Spring 2026). Faros AI, across two years of telemetry from 22,000 developers on 4,000+ teams, measured the incidents-to-pull-request ratio up 242.7% as teams moved from low to high AI adoption, alongside 31.3% more pull requests merged with no review at all, human or agentic (The AI Acceleration Whiplash, March 2026). What changes the outcome is process. The approach gets agreed before the code, the code gets read, and nothing reaches a customer unreviewed.

The cost base differs, not the standard. $4,000 a month is one flat figure covering salary, benefits, contracts and local compliance in the engineer’s country, and the AI tooling they work with, rising to $6,000 for specialist ML engineers. No platform fee and no deposit. Nothing is invoiced until day 8 and swaps are free until you are happy, so the structure carries the risk rather than a reassurance.

Common enough that the terms are built around it. Nothing is invoiced until day 8. Swaps are free, as many times as it takes. The engineer works only for you and is never double-sold. Hours are tracked, so output is visible rather than reported. And the contract runs month to month, so if it is not working you stop that month.

It works at today’s size. The things that break later are invisible now: pagination done in the browser, missing database indexes, a whole table pulled into memory. Fine at fifty rows, fatal at fifty thousand. The real question is who fixes it the day it stops working.

You do. Contracts are written so that everything the engineer produces belongs to you. Hours are also logged in a GAAP-compatible format, which keeps R&D credits claimable, which is worth raising with your own accountant.