Product & platform engineering
Green-field builds for internal platforms and customer-facing products, from architectural sketch through production.
Vol. 01 · Technology & Engineering
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.

§ 01 — Overview
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.
§ 02 — Areas of expertise
Custom software
Line-of-business systems, internal tooling, portals and workflow platforms designed around a specific organisational need.
Web applications
Responsive, accessible interfaces built on modern frameworks and served from managed, observable runtimes.
Cloud architecture
Reference architectures, landing zones and platform primitives on major public cloud providers.
Data engineering
Warehouses, pipelines, event streams and analytical models aligned with the way the business actually reports.
Application modernization
Incremental replacement of legacy code, database migrations, framework upgrades and platform rehosting.
Reliability & security
Observability, incident management, hardening and continuous compliance work built into every project.
§ 03 — Service categories
Green-field builds for internal platforms and customer-facing products, from architectural sketch through production.
Component libraries, design-system implementation, accessibility work and performance tuning.
Services, APIs, background workers and integrations, written in typed, testable code.
REST and event-driven interfaces between internal systems and third-party providers.
Infrastructure as code, CI/CD pipelines, container platforms and observability stacks.
Ingestion, transformation, warehousing and reporting infrastructure for analytical workloads.
Removing repetitive manual steps from business processes with scripted and event-driven workflows.
Unit, integration and end-to-end testing programmes, plus release verification and rollback planning.
§ 04 — Business challenges
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
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.

§ 06 — Development approach
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
Step 01
We read the brief, ask questions and produce a written summary of scope, constraints and success criteria.
Step 02
We sketch the system, choose the platform, and write down the trade-offs behind each significant decision.
Step 03
We work in short cycles, releasing behind flags and shipping working software throughout the engagement.
Step 04
Automated tests, security review and performance checks are executed before any production release.
Step 05
We hand over documentation, runbooks and monitoring, and provide ongoing support if the client requests it.
§ 08 — Industries

§ 09 — Quality & reliability
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.

§ 10 — Security & data protection
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
Requirements, decisions and hand-overs are captured in writing so that anyone joining later has the same context.
Client stakeholders speak directly to the engineers doing the work; there is no account layer between.
Source code, infrastructure definitions and documentation live in repositories the client owns from day one.
Weekly written progress notes and a short synchronous review keep everyone aligned without overloading calendars.
Estimates are ranges with named assumptions; when reality diverges, we update them in writing.
At the end of an engagement, the receiving team gets working software, tests, runbooks and a decision log.
§ 12 — Frequently asked questions

§ 13 — Contact
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.
