Software, on demand

You write the need. We ship the software.

Describe a feature, a fix or a whole new app in plain words. AI writes the code. Senior engineers check the parts that must never break. It lands in production, tested, with one click to roll back.

Book a 2-week pilot → Write your first request
Your code, your repoHuman sign-off before prodNo hiring needed
request #128live pipeline
C Product owner · wrote this at 09:12
Send families a reminder email the day before each session.
    1 sentence

    is all a request needs. No tickets in Jira language, no specs, no sprint planning.

    Hours not sprints

    from the request to a version you can click on in pre-production.

    100% reviewed where it matters

    Scaling, data, security and architecture are always checked by a senior engineer.

    The shift

    Same request. A very different week.

    Most of the time between an idea and production is waiting: for a slot in the sprint, for a review, for a release train. We remove the waiting.

    The usual way

    “Add a CSV export of all contacts”

    1. MonWritten as a ticket, goes to the backlog
    2. Week 2Discussed in sprint planning, estimated
    3. Week 3Developed, waits for code review
    4. Week 4QA finds a missing column, back to dev
    5. Week 5Waits for the next release
    ≈ 5 weeks
    With east11ai

    “Add a CSV export of all contacts”

    1. 09:00Written in one sentence
    2. 09:052 questions back to you, each with our proposal
    3. 11:30Code + tests written, data rules reviewed by an engineer
    4. 14:00You try it in pre-production
    5. Next dayYou say “ship it”, it is live
    1 day
    How it works

    Two phases. Engineers build the road, then you drive.

    1 Foundation · 2 to 6 weeks

    Senior engineers set up a base that scales

    • Understand your need. A new app, or an existing one you want to grow. We read your product, your users, your constraints.
    • Design the architecture for the load you will have in 3 years, not the one you have today.
    • Set up the machine: pre-production, production, servers, backups, monitoring, AI services if you need them.
    • Write the rules the AI must follow: your stack, your conventions, your data rules, what it is never allowed to touch.

    You get: a production-grade app and a pipeline that turns sentences into releases.

    2 Autopilot · ongoing

    Anyone on your team ships features

    • Write what you want in plain words: a feature, a fix, a change of text, a new report.
    • AI asks questions without jargon, each with options and our proposal. You pick one.
    • AI writes the code and the tests. Every change runs in pre-production first.
    • Engineers review what is critical: scaling, data model, security, design. The rest is checked by tests.
    • You click “ship”. It goes live, and you can roll it back in one click.

    You get: the output of a full product team, without building one.

    Who does what

    You decide. AI types. Engineers guarantee.

    Each step has one clear owner. Nothing reaches your customers without a human saying yes.

    StepYouAIOur engineers
    Describe the need
    Answer product questions
    Write the code
    Write and run the tests
    Architecture, scaling, data model
    Security and personal data
    Try it in pre-production
    Approve the release
    Watch production, fix incidents
    You own itAI owns itEngineer owns itHelps
    Why you can trust it

    Fast, with the brakes engineers would put in.

    Pre-production, always

    Every change runs on a copy of your app first. You click through it before your customers ever see it.

    One-click rollback

    Every release is tagged. If something looks wrong, the previous version is back in a minute.

    Senior eyes on what matters

    Database changes, load, money, personal data, access rights: a senior engineer reads every line of these.

    You own everything

    The code lives in your repository, on your servers or cloud account. Leave whenever you want, keep it all.

    Full audit trail

    Each release links back to the sentence that asked for it, the questions asked, the review and who approved it.

    Your progress, in plain words

    A status page shows every request: asked, in progress, ready to try, live. No Jira, no tech jargon.

    Already running in production

    A health app, run by its product owner.

    A SaaS for speech therapists and the families they treat. Health data, real users, no in-house engineering team. The product owner writes requests; the pipeline ships them.

    From a v1 nobody dared touch to weekly releases.

    Phase 1 rebuilt the app on a scalable base, moved it to a European cloud and set up pre-production and production. Phase 2 put the product owner in the driver's seat: requests written in plain French, questions answered with a click, releases approved in pre-production.

    request → questions (with our proposal) → code + tests → senior review → preprod → “ship it” → prod
    693practitioner accounts migrated from v1, in 4 batches
    7,123family emails sent at migration, 0 failures
    14production releases in 4 weeks
    1product owner writing the requests
    Built for

    Whatever team you have today.

    No engineering team? Now you have one.

    SMEs, agencies, non-tech companies, founders. Get production software and a team that keeps shipping, for less than one senior hire.

    Already have engineers? Give them leverage.

    Product and ops ship the long tail of small requests on their own. Your engineers stop being the queue and spend their time on the hard problems.

    Try it

    Write a request. See how it would ship.

    This is a preview of the flow, not a real build. Type the kind of thing you would ask for at work.

    Plan for your request
      Start small

      See it work on your product in 2 weeks.

      Before you commit, we prove it on your own app with your own requests. You keep everything we build.

      1. Day 1–2

        Workshop

        We meet your product people, look at your app or idea, and pick 5 real requests from your backlog.

      2. Day 3–7

        Foundation

        Senior engineers set up pre-production, production and the AI pipeline on your stack.

      3. Day 8–12

        Your team drives

        Your product owner writes the 5 requests. They ship, one by one, through the real flow.

      4. Day 14

        Decision

        We show what shipped, how long each took and what was reviewed. You decide if you go on.

      Questions

      What people ask us first.

      Does this replace our engineering team?

      If you don't have one, it gives you one. If you do, it removes the queue of small requests so your engineers work on what only they can do. In both cases, senior engineers stay in the loop for every critical decision.

      What if the AI writes something wrong?

      It happens, and the flow is built for it. Tests run on every change, everything goes through pre-production, critical parts are reviewed by a human, and any release can be rolled back in one click.

      Who owns the code?

      You do. It lives in your repository and runs on your servers or cloud account. If you stop working with us, you keep the app, the pipeline and the documentation.

      Which technologies do you support?

      Web apps, APIs, back-offices, mobile-friendly apps and AI features, on the common stacks (Node, Python, Postgres, Docker, major clouds). Phase 1 adapts to what you already run.

      Can we handle sensitive data?

      Yes. We already run an app used by health professionals and the families they treat. Personal data and access rights are always in the senior review scope.

      Who writes the requests on our side?

      Whoever owns the need: a product owner, an ops manager, a founder. No technical skill needed. If you can write an email, you can write a request.

      Ready when you are

      Stop waiting for engineering.
      Start shipping.

      hello@east11ai.com