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Capabilities

Engineering for connected software

Six capability areas cover the interfaces people use, the systems behind them and the delivery that keeps them running. Each area is designed to work with the others, so a product holds together as it grows.

View the six areasExplore use cases
Six areas

What the team can build

Each card summarizes what an area delivers for the business. Its detailed section explains the deliverables, the roles that own the work and how it is checked.
Integration

How the areas fit together

Most products combine several areas. Client applications share one API, data stays in one place, and AI and delivery attach to the same system rather than living beside it.

Example architecture

Dashed parts are optional

Web client

Browser interface and admin areas

Mobile client

Android and iOS apps

Desktop client

Windows, macOS and Linux

Authenticated requests over HTTPS

API and business logic

Authentication, authorization, validation and business rules

Queries and transactions

Data layer

Relational database, files and search

Background jobs

AI workflow

Extraction or retrieval with a human review step

Deploys and observes every layer

Deployment layer

CI/CD pipeline, environments, containers, logging, monitoring and backups

An example, not a fixed template. Web, mobile and desktop clients share one API, which owns permissions, rules and access to data. An optional AI workflow runs as background work with a review step, and the deployment layer ships and observes every part.

01 Web and enterprise

Web and enterprise

Web products and internal systems that support real work.

Web and enterprise applications are the center of our work. Frontend and backend engineers design the interface, the API and the data model together, so a customer-facing product or an internal tool behaves consistently from the first screen to the database.

Technical coverage: Responsive interfaces, reusable components, permissions and business workflows.

Common deliverables

  • Customer-facing web applications
  • Internal tools, portals and admin areas
  • Reusable component libraries
  • Role-based business workflows

How we make it dependable

  • Accessible markup, keyboard support and visible focus
  • Responsive layouts checked at phone, tablet and desktop widths
  • Performance work on loading, interaction and layout stability

How it connects

  1. InterfaceReusable components
  2. PermissionsRole-based access
  3. WorkflowsBusiness rules
  4. APIIntegration

Team ownership

  • Senior Frontend and UI Lead
  • Frontend and Integration Engineer
  • Senior Backend and Technical Lead
  • Backend and Database Engineer

Frontend roles lead the interface and integration work, while backend roles shape permissions, workflows and data.

Shared technologies

  • React
  • Next.js
  • TypeScript
  • JavaScript
  • HTML
  • CSS

We select from this stack according to the needs of each project.

02 Mobile

Mobile applications

Connected experiences on Android and iOS.

Two mobile developers cover Android and iOS. They use cross-platform frameworks where they fit and native code where a device feature or platform behavior needs it, and the apps share APIs and data rules with the rest of the product.

Technical coverage: Cross-platform and native work, device integration, performance and distribution.

Common deliverables

  • Android and iOS applications
  • Cross-platform or native builds
  • Device features such as camera, location and local storage
  • Releases prepared for Google Play and the App Store

How we make it dependable

  • Platform conventions for navigation, permissions and gestures
  • Behavior on slow or interrupted connections
  • Performance checks and store-ready packaging

How it connects

  1. Android and iOSCross-platform or native
  2. Device featuresCamera, location, storage
  3. SynchronizationOffline aware
  4. Shared APISame rules as web

Team ownership

  • Android and Cross Platform Developer
  • iOS and Cross Platform Developer

The Android and iOS specialists share cross-platform work and each owns their platform details and store delivery.

Shared technologies

  • Flutter
  • React Native
  • Kotlin
  • Swift

The choice between cross-platform and native depends on platform and device requirements.

03 Desktop

Desktop applications

Software that works closely with a local device.

Some work belongs on the desktop: tools that handle local files, connect to devices or keep working without a browser. Our desktop developer builds applications and utilities for Windows, macOS and Linux and packages them for the agreed platforms.

Technical coverage: Local data, files, OS APIs, native components and application packaging.

Common deliverables

  • Windows, macOS and Linux applications
  • Utilities and command line tools
  • Local data and file handling
  • Installers and packaged releases

How we make it dependable

  • Behavior checked on each agreed operating system
  • Permissions and data handling on the local device
  • Installation, update and packaging steps

How it connects

  1. Desktop appInterface or command line
  2. OS APIsFiles and devices
  3. Local dataFiles and database
  4. PackagingAgreed platforms

Team ownership

  • Desktop Application Developer

The desktop developer owns the application and its packaging, working with backend roles where it connects to shared systems.

Technologies

Options considered per project: C#, .NET, C/C++, Python, Qt, Electron, Tauri.

The desktop stack is chosen for each project from options such as these.

04 AI

AI and automation

AI features integrated into a usable software workflow.

AI is most useful inside software people already rely on. Our AI and ML engineer builds features such as document extraction, knowledge tools and workflow automation, and connects them to the surrounding application with evaluation and human review designed in.

Technical coverage: LLM applications, document processing, ML pipelines and review paths.

Common deliverables

  • AI features inside existing workflows
  • Document extraction and processing
  • Knowledge tools with source-linked answers
  • Evaluation sets and human review steps

How we make it dependable

  • Evaluation on representative examples before launch
  • Review paths for uncertain or high-impact results
  • Access boundaries that match the rest of the application

How it connects

  1. Source dataDocuments and records
  2. AI stepExtraction or retrieval
  3. ReviewHuman approval
  4. ApplicationApproved results

Team ownership

  • AI and ML Engineer
  • Senior Backend and Technical Lead

The AI and ML engineer leads the model work, while backend roles integrate it with APIs, permissions and data.

Shared technologies

  • Python

Options considered per project: PyTorch, TensorFlow, NumPy, SciPy, LangChain, OpenAI APIs, Hugging Face.

Libraries and model providers are selected per project from options such as these.

05 Backend and data

Backend and data

Application logic and information organized for reliable use.

Backend engineering connects everything else. Two backend engineers design APIs, authentication and authorization, data models and background services, and integrate with existing systems when a project needs to work alongside them.

Technical coverage: APIs, authorization, databases, background work, integrations and migration.

Common deliverables

  • APIs and service layers
  • Authentication and authorization
  • Database design and migration
  • Background jobs and system integrations

How we make it dependable

  • Authorization checked on every protected action
  • Data models with constraints that protect consistency
  • Integration behavior planned for when an external system fails

How it connects

  1. APIClear contracts
  2. Access controlAuthentication and roles
  3. DatabaseConstraints and migrations
  4. JobsBackground work

Team ownership

  • Senior Backend and Technical Lead
  • Backend and Database Engineer

The technical lead guides architecture decisions, while the database engineer owns data design, migration and backend testing.

Shared technologies

  • Node.js
  • Python
  • FastAPI
  • Django
  • PostgreSQL
  • MySQL
  • SQL Server

Any additional tools are confirmed with each project.

06 Cloud

Cloud and delivery

Applications deployed and maintained with operational visibility.

Delivery is part of the product. Our DevOps engineer sets up environments, deployment pipelines, containers, logging, monitoring and backups, so software moves from review to release in a repeatable way.

Technical coverage: CI/CD, environments, containers, logging, monitoring and backup planning.

Common deliverables

  • Development, testing and production environments
  • CI/CD pipelines
  • Containers and infrastructure baselines
  • Logging, monitoring and backup planning

How we make it dependable

  • Repeatable deployments from a reviewed pipeline
  • Logs and monitoring that show how the system behaves
  • Backup and recovery steps agreed for the project

How it connects

  1. PipelineBuild and checks
  2. EnvironmentsTest and production
  3. ContainersRepeatable runtime
  4. MonitoringLogs and backups

Team ownership

  • DevOps Engineer

The DevOps engineer owns environments and pipelines and works with every engineer on release readiness.

Technologies

Options considered per project: AWS, Azure, Docker, Kubernetes, Linux, GitHub Actions, Terraform, Nginx.

Infrastructure is chosen for each project from options such as these.

Quality and delivery

How quality is built in

Quality is shared across the engineers and coordinated through delivery. Testing depth, security requirements and support arrangements are agreed for each project rather than offered as a fixed package.
  1. 01

    Requirement and acceptance review

    Journeys and acceptance criteria are agreed before the work starts.

  2. 02

    Code review

    Every change is reviewed by another engineer before it is merged.

  3. 03

    Relevant automated checks

    Tests and checks that fit the system run on each change.

  4. 04

    Accessibility checks

    Interfaces are checked for keyboard use, contrast, structure and focus.

  5. 05

    Deployment preparation

    Releases move through a repeatable pipeline and matching environments.

  6. 06

    Handover

    Documentation, monitoring and operational responsibilities are agreed.

Continue exploring

See the capabilities in context

Use cases show how the capability areas combine around a real working need, with the validation each project would include.
Browse use casesMeet the team
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