Skip to main content

Services

Start with the problem, not the stack

Most teams come to us with one of four problems. Pick yours — each links to the specific services, case studies, and pricing that apply.

All services

Specialist pages for the stacks and capabilities teams ask us about most.

Launch a new product

Modernize an existing system

Not sure which fits? Guidance for founders · Guidance for established businesses

Pricing

What projects typically cost

Typical starting points, not quotes. Final pricing depends on scope and is fixed in writing after a discovery call.

  • MVP / Launch

    from ~$3k

    Typically 4–8 weeks

    Validating an idea, a first release for early users, or a single focused AI feature.

    • Discovery call and written scope
    • Core user flows, auth, and an admin view
    • Two-week sprints with working demos
    • Deployment and 30 days of post-launch support
  • Product / Growth

    ~$10k–$30k+

    Typically 2–4 months

    A production SaaS or web/mobile product with billing, integrations, and dashboards.

    • Architecture and data-model specification
    • Web and/or mobile clients plus API
    • Third-party integrations (payments, CRM, messaging)
    • Automated tests, CI/CD, and monitoring
  • Scale / Enterprise

    ~$30k–$60k+

    Typically 3–6 months, often phased

    Legacy modernisation, multi-system platforms, AI transformation, or a dedicated team.

    • Architecture review and phased migration plan
    • Dedicated engineers working in your cadence
    • Security review against an OWASP checklist
    • Documentation, runbooks, and knowledge transfer

Ongoing: support & maintenance retainer from $600/month · fractional cto from $2,000/month.

How we engineer

The unglamorous work done properly

Review, tests, pipelines, monitoring, and documentation are part of every project — not extras you have to ask for.

How we engineer
  • Architecture written down first

    Data model, API design, and infrastructure plan agreed in a written specification before code is written.

  • Every change reviewed

    Pull requests are peer-reviewed and pass automated checks before they reach the main branch.

  • Automated tests

    Unit and integration tests on business logic and APIs, plus manual testing on real devices for mobile.

  • CI/CD from the first sprint

    Lint, test, build, and deploy pipelines (usually GitHub Actions), so releases are routine rather than events.

Next step

Tell us what you are building.

A free 30-minute discovery call, then a written scope and a fixed-price quote — before you commit to anything.