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Services

What we do, and what you actually receive.

Four capabilities delivered by one senior team. Every engagement ends with documentation and a handover, not a dependency.

01

Full-stack development

From a blank repository to a system your team owns.

End-to-end product engineering: considered front-ends, clean APIs, and infrastructure that holds under real load. We write code for the person who reads it a year from now — which is usually one of your engineers, not one of ours. We are equally comfortable starting fresh or stepping into an existing codebase and stabilising it before changing anything.

What you receive

  • A running system in your own cloud accounts and repositories
  • Architecture notes explaining what was chosen and why
  • Test coverage on the paths that matter, and CI that enforces it
  • A handover walkthrough with your engineers
React / Next.jsNode / GoPostgreSQLAWS / GCPCI/CD
02

Applied AI & automation

AI features that survive contact with production.

Retrieval systems, LLM-backed features and workflow automation, built with the unglamorous parts included: evaluation suites so accuracy is measured rather than assumed, guardrails on what the system may do, and cost controls before the bill becomes a surprise. If a problem does not need a model, we will tell you so and solve it more cheaply.

What you receive

  • A production deployment with monitoring and cost reporting
  • An evaluation suite that gates releases on measured accuracy
  • Documented guardrails, fallbacks and failure behaviour
  • A clear account of what the system cannot reliably do
RAGLLM applicationsAgentsEvaluationPython
03

CMS & CRM solutions

The operational backbone, configured around how you work.

Content platforms, customer systems, and the integrations between them. Most teams do not need more tools; they need the ones they have to talk to each other reliably. We map the actual process first — including the parts that live in spreadsheets and inboxes — then automate what genuinely repeats.

What you receive

  • A documented map of the process as it really runs today
  • Automated workflows with monitoring and clear failure alerts
  • Integrations that degrade safely when a third party is down
  • Training for the team who will operate it day to day
Headless CMSCRM integrationData pipelinesWebhooks
04

AI training for teams

From cautious to capable, using your own work as the material.

Hands-on programmes for engineers and non-engineers. Generic exercises do not transfer, so we build the curriculum from your team's real workflows and real constraints. Sessions are practical from the first hour, and we leave behind written playbooks plus a review process the team runs without us.

What you receive

  • A curriculum built from your team's actual workflows
  • Live sessions in English, Japanese or Chinese
  • Written playbooks your team can extend
  • A review process for AI-assisted work, owned by you
WorkshopsTeam enablementGovernancePlaybooks

Engagement models

Three ways to work with us.

Whichever you pick, you get senior people and a written plan before anyone writes code.

Project

A defined scope with a fixed shape, a written plan, and a handover at the end. Best when you know what you need built and want it owned end to end.

Best for: a defined build with a clear finish line

Partnership

An ongoing relationship with reserved capacity each month. We hold context across quarters, which makes the second year considerably cheaper than the first.

Best for: continuous product work and evolving systems

Advisory

Architecture review, a second opinion before a large commitment, or enablement for a team that will do the building themselves.

Best for: decisions that are expensive to reverse

Stack

What we build with.

We pick boring, well-supported tools by default, and justify anything unusual in writing.

Front-end

  • TypeScript
  • React
  • Next.js
  • Tailwind / CSS
  • Accessibility (WCAG)

Back-end

  • Node.js
  • Go
  • Python
  • PostgreSQL
  • Redis

AI & data

  • LLM APIs
  • Vector search
  • RAG pipelines
  • Evaluation harnesses
  • Observability

Platform

  • AWS
  • Google Cloud
  • Vercel
  • Docker
  • GitHub Actions

FAQ

Common questions.

Let's talk about what you're building.

Tell us where the project stands — an idea, a stalled build, or a system that has outgrown its foundations. We'll tell you honestly whether we're the right partner, and what we'd do first.

Start a conversationBook a 30-minute call