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Product Engineering

Product Engineering

We take new products from first sketch to production: discovery, UX, engineering and launch, run by one team that answers for the result.

A custom engineering engagement

We scope this service around your workflow, existing systems and acceptance criteria. The work starts with the problem and its constraints, then a written scope and price. A packaged solution is a different buying route: choose it when its defined deliverables already fit the job.

01The problem

Where things usually stall

New digital products taken from idea to launch by a single accountable team.

  • 01

    Scope that keeps growing

    Every meeting adds a feature, and the launch date slides another month.

  • 02

    Prototypes that can't scale

    The MVP worked for fifty users and falls over at five thousand.

  • 03

    Too many hand-offs

    Designers, developers and testers from different vendors, each blaming the other when things slip.

02Capabilities

What we deliver

  • 01

    Product discovery

    User interviews, competitor teardowns and a scoped first release with clear success metrics.

  • 02

    MVP and PoC builds

    Working software in weeks to test the riskiest assumptions with real users.

  • 03

    Full-stack development

    Front end, back end, APIs and data, built as one system by one team.

  • 04

    SaaS foundations

    Multi-tenancy, billing, roles, audit logs and admin tools done properly the first time.

  • 05

    Integrations

    Payments, CRM, identity, analytics and the third-party APIs your product depends on.

  • 06

    Launch and growth support

    Analytics, feature flags and a post-launch roadmap based on how people actually use the product.

03Outcomes

What changes once it’s live

  • 01

    A product scope tied to a job

    The first release supports a complete user workflow rather than a collection of disconnected features.

  • 02

    Maintainable product foundations

    Roles, data boundaries and integration contracts reflect how the business actually operates.

  • 03

    An owned release

    Source code, tests, deployment configuration and documentation are handed over together.

04Approach

How we deliver it

  1. 01

    Choose the release boundary

    Work through the user journey, commercial constraints and acceptance criteria before planning screens.

  2. 02

    Prove the interaction

    Review working prototypes and the data model with the people who will use and operate the product.

  3. 03

    Build vertical slices

    Deliver usable workflows through interface, business logic and data storage, with testing alongside development.

  4. 04

    Prepare the product team to run it

    Test the launch path, connect monitoring and rehearse deployment, recovery and handover with your team.

05Stack

Tools we use most

  • React
  • Next.js
  • Node.js
  • TypeScript
  • PostgreSQL
  • Docker
  • Express.js
  • Prisma
  • Nuxt.js
  • Astro
  • Shadcn UI
  • Zustand

07FAQ

Frequently asked questions

View pricing guide
How quickly can we launch an MVP?

Most MVPs we build reach real users in ten to sixteen weeks, depending on integrations and compliance needs.

Do you help define what to build?

Yes. Every product engagement starts with discovery, so the first release solves one problem well.

What happens after launch?

We keep improving the product on a roadmap tied to usage data, or hand over to your team with full documentation.

How much does custom software development cost?

$15,000 – $45,000 for a focused MVP; $35,000 – $90,000 for a full SaaS product build; enterprise platforms start higher and are scoped after discovery. It depends on scope clarity, integrations, compliance, timeline, and data readiness, in roughly that order. A focused build with a clear spec sits at the low end; a multi-system platform with compliance requirements sits at the high end. The ranges above break it down by engagement type.

How should the first delivery decision be made?

Work through the user journey, commercial constraints and acceptance criteria before planning screens. Review working prototypes and the data model with the people who will use and operate the product.

What should the acceptance criteria cover?

The first release supports a complete user workflow rather than a collection of disconnected features. Roles, data boundaries and integration contracts reflect how the business actually operates. Source code, tests, deployment configuration and documentation are handed over together.

AI readiness

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Ten questions, about three minutes. Find out what needs attention before you build.

Product Engineering

Product Engineering

New digital products taken from idea to launch by a single accountable team.