AI-native products, built with you

A product-oriented team of senior engineers and designers who work side by side with you, steering the process from first idea to a fast-growing AI product.

Product-minded · Senior team
What we do
  • 01 Product partnership

    We work as part of your team, share the goals and help steer the roadmap from MVP to scale.

  • 02 Product & UX/UI design

    Discovery, user journeys and interfaces, from designers who shape what gets built, not only how it looks.

  • 03 Full-stack engineering

    Web apps, APIs and cloud infrastructure, built by senior engineers to ship fast and hold up as you grow.

  • 04 AI solutions

    AI assistants, agents and automation that grow with your product, measured against a baseline before they ship.

TypeScript React Python Go C# Java PyTorch PostgreSQL Kubernetes AWS Google Cloud
MVP sprint

From idea to a working MVP in one month

One team owns the full cycle — product, design, engineering and AI — so in four weeks you have a product real users can sign up for, with the metrics that tell you whether it works wired in from day one.

4 weeks
from kickoff to production launch
1 team
product, design, engineering and AI under one roof
Fixed scope
agreed at the end of week one, no surprises after
100% yours
code, designs and infrastructure in your accounts
  • 01

    Delivery in one month

    A fixed four-week sprint with a demo every Friday. Scope is locked after discovery and trimmed to what proves the idea — so day 30 is a launch, not a status update.

  • 02

    Full-stack development

    Web app, API, database, auth, payments and admin — built on a stack that survives past the MVP. TypeScript and React up front, Python or Go behind, PostgreSQL, CI/CD and cloud deploys from the first week.

  • 03

    UX/UI design

    User journeys, wireframes and a clickable prototype you can put in front of customers before production code is written — then a clean visual system the product is built on.

  • 04

    AI integrations

    LLM features, retrieval over your data, agents and workflow automation — each one measured against a baseline, with quality, cost and latency budgets set before it ships.

The full cycle

Four weeks, one deliverable a week

Design and engineering run in parallel, so nothing waits on a handoff. Every week ends with something you can click.

  1. Week 1

    Discover & define

    Workshops, user journeys and competitor teardown. We agree on the core use case, the scope and the one number that says the MVP worked.

    Product spec, architecture, success metric
  2. Week 2

    Design & foundations

    Wireframes become a clickable prototype and a UI kit. In parallel: repository, data model, auth, CI/CD and cloud environments.

    Clickable prototype, running skeleton app
  3. Week 3

    Build & integrate

    Core features end to end, AI capabilities and third-party integrations — payments, email, CRM, your internal APIs — with an evaluation set for every AI feature.

    Feature-complete staging build
  4. Week 4

    Test & launch

    QA, security and performance checks, analytics and monitoring. We ship to production, onboard your first users and hand over everything.

    Live product, handover, v2 roadmap
What you get on day 30

A product, not a prototype

Everything needed to put the MVP in front of users, raise on it, or hand it to an in-house team.

  • Production web app deployed to your cloud account
  • Source code, documentation and CI/CD in your repository
  • Figma files: user flows, prototype and UI kit
  • AI features with an evaluation report and baseline numbers
  • Analytics and monitoring for your success metric
  • A prioritised roadmap for what to build next

Have an idea worth testing?

Tell us what you want to build. We'll come back with a scoped four-week plan and the metric we'd hold it to.

Start your MVP