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Engineering across the whole stack.

Six disciplines, one team. Pick what you need or let us shape the whole product, from data and models to infrastructure and interface.

01 · ai/

Artificial Intelligence

We turn large language models into dependable product features: assistants that know your business, agents that complete real tasks and search that understands questions.

What we deliver

  • AI assistants and chatbots trained on your content
  • Agentic workflows that automate multi-step tasks
  • Retrieval (RAG) search across documents and data
  • LLM features inside your existing product
  • Evaluation suites, guardrails and cost controls
  • Two-week AI proof-of-concept sprints
const agent = createAgent({ model, tools: [search, crm, email], memory: rag(companyDocs) }) // eval: 94% task success · p95 1.8s

Typical stack

OpenAIClaudeLangChainpgvectorPythonFastAPI

A good fit if

You have repetitive knowledge work, a support load to reduce, or a product that should feel smarter.

02 · ml/

Machine Learning

Custom models trained on your data to predict, rank, detect and decide, with the pipelines and monitoring that keep them accurate after launch.

What we deliver

  • Demand forecasting and predictive analytics
  • Recommendation and personalisation engines
  • Computer vision: detection, OCR and inspection
  • Risk, fraud and lead scoring
  • Data pipelines and feature engineering
  • Model monitoring, drift alerts and retraining
model.fit(X_train, y_train) # val_auc 0.947 · drift check passed registry.promote("churn-v3")

Typical stack

PyTorchscikit-learnXGBoostMLflowAirflowBigQuery

A good fit if

You have historical data and decisions that could be faster, more accurate or automated.

03 · ops/

DevOps & Cloud

Infrastructure that deploys on every merge, scales with demand and tells you when something is wrong, defined in code so it is repeatable and reviewable.

What we deliver

  • Cloud architecture on AWS, GCP or Azure
  • Infrastructure as code with Terraform
  • CI/CD pipelines with automated tests
  • Containers and Kubernetes
  • Logging, metrics, tracing and alerts
  • Cost optimisation and security hardening
$ terraform plan # 18 to add, 0 to destroy $ kubectl rollout status deploy/api deployment "api" successfully rolled out

Typical stack

AWSGCPDockerKubernetesTerraformGitHub ActionsGrafana

A good fit if

Releases are slow or risky, cloud bills keep growing, or nobody knows when production breaks.

04 · mobile/

Mobile Apps

iOS and Android apps that feel fast and native, work offline, and ship cleanly through the App Store and Google Play.

What we deliver

  • Native iOS and Android apps
  • Cross-platform apps with Flutter or React Native
  • Offline-first data and background sync
  • Payments, maps, camera and push notifications
  • App Store and Play Store releases
  • Maintenance and OS-version updates
$ flutter build ipa --release $ flutter build appbundle # 60 fps · cold start 1.1s

Typical stack

FlutterReact NativeSwiftKotlinFirebase

A good fit if

Your customers live on their phones, or your web product needs a mobile companion.

05 · web/

Websites & Platforms

From marketing websites to full SaaS platforms, we build for speed, search visibility and easy editing by your own team.

What we deliver

  • Company websites and landing pages
  • SaaS platforms and customer portals
  • Dashboards and internal tools
  • E-commerce and headless CMS
  • Core Web Vitals and technical SEO
  • Accessibility and analytics setup
lighthouse ./ performance 98 · accessibility 100 best practices 100 · seo 100

Typical stack

Next.jsReactTypeScriptNode.jsSanityVercel

A good fit if

Your site is slow or hard to update, or you need a platform your customers log in to.

06 · 3d/

3D Web Experiences

Real-time 3D that runs in the browser with no app to install: product viewers, configurators and storytelling sites that make people stop scrolling.

What we deliver

  • Interactive 3D product viewers
  • Product configurators with live pricing
  • Scroll-driven 3D storytelling sites
  • WebGL data visualisation
  • Virtual showrooms and spaces
  • 3D asset optimisation for the web
const mat = new THREE.ShaderMaterial({ vertexShader, fragmentShader, uniforms }) // 60 fps on mid-range phones

Typical stack

Three.jsReact Three FiberGLSLBlenderWebGL

A good fit if

Your product is physical, visual or complex, and photos are not doing it justice.

Architecture

What we build,
layer by layer.

A typical APN Code product, from the apps your users touch to the infrastructure underneath. Select any block to see what goes into it.

Services

Core API

Tip: tap or Tab to move between blocks.
Scale & maintenance

Built for
millions of users.

The apps we ship are built to handle real traffic from day one: thousands of people at once, flash-sale spikes and 3 a.m. incidents. We build it, launch it and keep it running.

  • AutoscalingServers add themselves when traffic spikes and switch off when it drops, so you only pay for what you use.
  • Load-tested before launchWe simulate peak traffic before your users ever see the app.
  • Zero-downtime releasesCI/CD with automatic rollbacks. Ship daily without taking the app down.
  • 24/7 monitoring and on-callUptime checks, error tracking and alerts that wake us, not you.
  • Backups, security and recoveryEncrypted data, daily backups, replicas and a tested recovery plan.
  • Server and cloud cost careMonthly reviews that keep AWS, GCP or Azure bills lean as you grow.
Simulation · one day on a platform we run00:00
Requests / sec0
App servers3
p95 response0ms
Statussteady
Delivery

Watch a project ship.

Four stages, weekly demos and nothing hidden. Pick a stage to see a sample run.

apn@studio: ~/your-product
// sample run for illustration

  





  
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