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Style & Class

Vol. 01 · Technology & Engineering

Software, quietly
engineered to last.

STYLE AND CLASS LIMITED is an independent technology company. We design, build and maintain custom software, cloud platforms and data systems for organisations that value clarity, security and long-term maintainability over noise.

Discipline
Custom software
Discipline
Cloud architecture
Discipline
Data engineering
Discipline
Modernization
Interior corridor of a modern data centre with rows of server cabinets under diffused overhead light
Fig. 001 — Infrastructure

§ 01 — Overview

An engineering practice, not an agency.

We work as a small, senior team focused on production-grade software. Our engagements typically span the full arc of a system: understanding the business problem, shaping the architecture, writing the code, running the platform, and gradually improving it as the organisation changes. We are equally comfortable building a new application from a blank editor and taking responsibility for one that has been in service for a decade.

Company

STYLE AND CLASS LIMITED

Written enquiries reach us directly atelizabethpowe62@gmail.com

§ 02 — Areas of expertise

Six disciplines, one delivery model.

  1. Custom software

    Line-of-business systems, internal tooling, portals and workflow platforms designed around a specific organisational need.

  2. Web applications

    Responsive, accessible interfaces built on modern frameworks and served from managed, observable runtimes.

  3. Cloud architecture

    Reference architectures, landing zones and platform primitives on major public cloud providers.

  4. Data engineering

    Warehouses, pipelines, event streams and analytical models aligned with the way the business actually reports.

  5. Application modernization

    Incremental replacement of legacy code, database migrations, framework upgrades and platform rehosting.

  6. Reliability & security

    Observability, incident management, hardening and continuous compliance work built into every project.

§ 03 — Service categories

A detailed map of what we do.

01

Product & platform engineering

Green-field builds for internal platforms and customer-facing products, from architectural sketch through production.

02

Frontend engineering

Component libraries, design-system implementation, accessibility work and performance tuning.

03

Backend engineering

Services, APIs, background workers and integrations, written in typed, testable code.

04

API design & integration

REST and event-driven interfaces between internal systems and third-party providers.

05

Cloud & DevOps

Infrastructure as code, CI/CD pipelines, container platforms and observability stacks.

06

Data & analytics

Ingestion, transformation, warehousing and reporting infrastructure for analytical workloads.

07

Automation

Removing repetitive manual steps from business processes with scripted and event-driven workflows.

08

Testing & quality

Unit, integration and end-to-end testing programmes, plus release verification and rollback planning.

§ 04 — Business challenges

The kinds of problems that reach our inbox.

Case 01

A critical internal tool has outgrown a spreadsheet and needs a real application.

Case 02

A legacy platform is expensive to change and slow to release, and the team wants a path out.

Case 03

Data is scattered across systems and reporting takes days rather than minutes.

Case 04

An existing product needs to move to the cloud without disrupting current customers.

Case 05

Manual processes between departments introduce errors that only surface at month-end.

Case 06

A regulatory or security review has produced a list of items that must be addressed.

§ 05 — Technology capabilities

A pragmatic, boring-by-default stack.

We choose established languages, frameworks and platforms so that the software we deliver can be operated by other engineers years from now. Novelty is reserved for the specific place in the system where it earns its keep.

  • TypeScript / JavaScript
  • Python
  • Go
  • Java / Kotlin
  • PostgreSQL
  • Redis
  • Kafka
  • Kubernetes
  • Docker
  • Terraform
  • AWS
  • Google Cloud
  • Azure
  • React / Next.js
  • Node.js
  • REST & GraphQL APIs
Close-up of source code rendered on a large screen in a dimly lit workspace
Fig. 002 — Codebase

§ 06 — Development approach

Small teams, short cycles, written decisions.

Each engagement is staffed with a small number of senior engineers who stay on the project from discovery through operation. We iterate in short cycles with working software at every step, and we write down architectural decisions so they can be reviewed later by people who were not in the room.

Testing, observability, security review and deployment automation are part of the build, not a phase at the end. When we finish, the receiving team inherits code that is legible, documented and covered by tests, together with the runbooks needed to operate it.

§ 07 — Delivery process

A predictable path from brief to production.

  1. Step 01

    Discovery

    We read the brief, ask questions and produce a written summary of scope, constraints and success criteria.

  2. Step 02

    Architecture

    We sketch the system, choose the platform, and write down the trade-offs behind each significant decision.

  3. Step 03

    Build

    We work in short cycles, releasing behind flags and shipping working software throughout the engagement.

  4. Step 04

    Verification

    Automated tests, security review and performance checks are executed before any production release.

  5. Step 05

    Operation

    We hand over documentation, runbooks and monitoring, and provide ongoing support if the client requests it.

§ 08 — Industries

Environments we work in.

Looking up between two concrete facades toward a glass roof of a modern building
  • Financial services
  • Professional services
  • Logistics & operations
  • Healthcare technology
  • Education technology
  • Public sector
  • Manufacturing
  • Retail & commerce
  • Media & publishing

§ 09 — Quality & reliability

Reliability is a design decision, not a promise.

We treat reliability as an engineering property that has to be designed into a system from the start. That means writing tests as we build, instrumenting code before it goes to production, and rehearsing failure scenarios so that recovery is practised rather than improvised.

Every release we ship is reversible. Every deployment is observable. Every incident is documented. Over time this discipline produces software that behaves predictably under load, degrades gracefully under stress, and can be operated calmly by the team that inherits it.

  • Automated testing at unit, integration and end-to-end level.
  • Continuous integration and deployment pipelines with reproducible builds.
  • Structured logging, metrics and tracing across every service.
  • Documented runbooks and incident response procedures.
  • Reversible releases behind feature flags.
  • Periodic architecture and security review.
Abstract streams of white light flowing across a black background, evoking fibre-optic data transmission
Fig. 003 — Data in transit

§ 10 — Security & data protection

Security as a default, not a feature.

Every system we build is designed with the assumption that credentials leak, dependencies break and networks are hostile. We apply least-privilege access, encrypt data in transit and at rest, keep dependencies patched, and separate environments so that a mistake in development cannot reach production.

Where an engagement handles personal data, we align processing with the organisation’s legal obligations, minimise the data we retain and document where it lives. Confidential information exchanged with us is handled under the confidentiality terms of the engagement.

§ 11 — Collaboration model

How we work with your team.

Written first

Requirements, decisions and hand-overs are captured in writing so that anyone joining later has the same context.

Direct access

Client stakeholders speak directly to the engineers doing the work; there is no account layer between.

Shared repositories

Source code, infrastructure definitions and documentation live in repositories the client owns from day one.

Fixed cadence

Weekly written progress notes and a short synchronous review keep everyone aligned without overloading calendars.

Transparent estimates

Estimates are ranges with named assumptions; when reality diverges, we update them in writing.

Clean hand-over

At the end of an engagement, the receiving team gets working software, tests, runbooks and a decision log.

§ 12 — Frequently asked questions

Answers to common early questions.

What does STYLE AND CLASS LIMITED do?
We build custom software, cloud architecture, data platforms and integrations, and we help organisations modernise existing systems.
How do engagements typically start?
Engagements begin with a written brief sent to elizabethpowe62@gmail.com. We reply with clarifying questions and outline a discovery phase.
Do you support existing systems?
Yes. We take on maintenance, incident response, refactoring and gradual modernisation of legacy applications.
How is intellectual property handled?
Source code, documentation and infrastructure definitions produced under an engagement are handed over to the client under the terms of the agreement.
Where does the work happen?
We work remotely by default and communicate primarily in writing, with scheduled synchronous reviews when they add value.
How is confidential information handled?
Confidential information exchanged during an engagement is handled under the confidentiality terms of the signed agreement between the parties.
A minimal desk beside a window with a laptop and an open notebook resting on the surface

§ 13 — Contact

Written enquiries are read carefully.

We prefer written enquiries. A short description of the organisation, the problem you would like to solve, and any timelines or constraints you have is enough for us to reply usefully.

Company
STYLE AND CLASS LIMITED
Email
elizabethpowe62@gmail.com
Website
styleclassco.com
Language
English
A single hand resting on a mechanical keyboard, lit from one side against a dark background