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AI product engineering · Sydney

Build and scale your next web, mobile or AI product.

We build web and mobile products, integrate AI into existing systems, and extend your engineering team. Senior engineers review and approve every change before it ships.

Book a scoping call (opens Calendly in a new tab)See our work

30 minutes with a senior engineer to discuss your scope, risks and next steps. No obligation.

Sydney HQ · Engineering team in Dhaka

Example delivery workflow

How your product gets shipped

  1. We plan

    With you

  2. AI accelerates the build

    AI-accelerated

  3. Senior engineers review and release

    Human approval

Nothing ships without human sign-off

Teams we've worked with

  • Smaply
  • University of Technology Sydney
  • Roaming Audit
  • U-Send
  • Loopmee
  • BASIS
  • Government of Bangladesh
U-Send merchant dashboard with revenue, costs and balance, order status counts, disputes awaiting reply, quoted products and top sellers
U-Send · Dropshipping operations platformScope · Product design, Web application, Back end & integrationsStack · Node.js · Express · Kafka · MongoDB · Socket.IO · AWS

01What we do

Three ways we help product teams.

Most engagements combine all three. Design, QA, deployment and maintenance are part of every one.

  1. Web & Mobile Apps

    New products, from the first release onwards. We cover the user experience, the application and the back end it runs on.

    Typical work

    • SaaS and marketplace platforms
    • Customer portals, dashboards and admin tools
    • Email, SMS and inbox integrations
    • Mobile apps with React Native or native iOS

    Seen in U-Send, Loopmee and BidMarker

  2. Full-Stack Development

    More engineering capacity for a platform you already run, whether it's new to us or code we wrote.

    Typical work

    • Taking over and stabilising inherited codebases
    • APIs, databases and event-driven back ends
    • Performance, reliability and modernisation work
    • Ongoing feature delivery alongside your team

    U-Send runs on Node.js, Kafka and MongoDB on AWS

  3. AI Integrations

    AI where it removes real, repetitive work, with checks and human review in the places where mistakes are costly.

    Typical work

    • Document and email data extraction
    • Search across your own knowledge and records
    • Support replies drafted for human approval
    • Workflow automation between existing systems

    Roaming Audit's assistant answers IR.21 and partner questions with retrieval over GSMA specs

02Selected work

Products we've designed and built.

All work
U-Send dashboard on a laptop, showing revenue, order status counts, open disputes and top-selling products

U-Send

An operations platform connecting dropshippers with wholesalers

The challenge
Dropshippers were juggling suppliers, orders, shipments and margins across separate tools and spreadsheets.
Our role
Concept, product design, front end, back end and production deployment.
Stack
Node.js · Express · Kafka · MongoDB · Socket.IO · AWS
Read the U-Send case study

03Practical AI

AI inside the work your team already does.

We start with a repetitive task and an honest check on whether AI suits it. When it does, we build it with review steps and measurement from day one.

Concept example: document extraction workflow

  1. Step 1

    Documents arrive

    Emails, PDFs and forms land where they do today.

  2. Step 2

    Extract and classify

    A model pulls out the fields you need and scores its confidence.

  3. Step 3

    Human review

    Anything uncertain goes to a person before it's used.

  4. Step 4

    Into your systems

    Checked data flows to your CRM, ERP or database through an API.

Before we build anything, we answer:

  • Can we reach the data, and should we?
  • How will we measure accuracy before launch?
  • What happens when the model is wrong?
  • What will it cost to run each month?
How we approach AI integrations

04How we work

Human-led, agent-built.

AI speeds up writing, testing and refining code. Specs, review of every pull request and releases stay with accountable engineers.

Human-led, agent-built delivery processFrame, Architect and Plan are human-owned and lead into an AI-accelerated inner build loop of write, test and refine. Every pull request passes a human review gate into Verify, then Release with client sign-off, and learnings feed back into the standards.OUTER LOOP · HUMAN-OWNED01FrameAgreed spec02ArchitectStandards in repo03PlanSmall reviewable slicesWriteTestRefine04BuildAI agents · inner loop05VerifyEvery PR reviewed06ReleaseDemo, sign-off, monitor
Human gateInner loop · AI-acceleratedLearnings feed back into standards
See each stage in detail

On every engagement

  • You own the code and IP

    Repositories live in your accounts from day one.

  • NDA before details

    We're happy to sign one before you share anything sensitive.

  • Weekly updates and demos

    A written update and a demo every week, with one accountable lead.

  • Support after launch

    Maintenance and improvements, ongoing or when you need them.

Have a product to build, or one that needs work?

Tell us where things stand and what you need. We'll come back with questions and a suggested next step.

Book a scoping call (opens Calendly in a new tab)or email [email protected]

30 minutes with a senior engineer to discuss your scope, risks and next steps. No obligation.