Services

Engineering

Custom software

Software built for one business and the way it actually works, when nothing off the shelf fits. We design it around your processes and your data, and we build it to be maintained for years.

Web applications

Browser-based applications for staff, customers or the public, from a single workflow to a full platform. Fast, accessible, and built on standards that will still be supported in a decade.

Mobile apps (iOS and Android)

Native and cross-platform apps for phones and tablets, built, tested and published through the App Store and Google Play. We handle the store requirements, the reviews and the updates that follow.

Enterprise applications

Systems that run a part of a business: operations, finance, procurement, human resources, customer management. Built to integrate with what you already run and to be governed, audited and supported.

Internal tools and workflow systems

The tools your staff use every day: dashboards, approval flows, data entry, reporting, the spreadsheet that became a system. Small to build, large in effect, and designed with the people who will use them.

Legacy modernization

Taking a system that still does its job but can no longer be changed safely, and bringing it onto a modern foundation without stopping the business. Done in steps, each one tested and reversible.

Cloud and infrastructure

Designing, building and running the environment your software lives in: compute, storage, networking, backup, security, cost control. On the major cloud platforms or on your own servers.

Integration and APIs

Connecting systems that were never designed to talk to each other, and building the interfaces that let your software work with partners, suppliers and customers. Documented, versioned, monitored.

Proof of concept and MVP development

A working version of an idea, built quickly to find out whether it holds, with the parts that matter made real and the rest left out. If it holds, it becomes the foundation; if it does not, you learn that cheaply.

Data and AI

Data platforms and warehousing

Bringing the data a business produces into one reliable place, cleaned, organized and ready to be used. The foundation under every dashboard, report and model that follows.

Business intelligence and dashboards

Reports and dashboards that show what is happening in a business, built so that the numbers can be trusted and the questions behind them can be asked. Designed for the people who make decisions from them.

Analytics and reporting

Answering the questions a business has about itself: what sells, what costs, what is slowing down, what is about to change. Regular reporting and one-off analysis, with the method shown, not just the answer.

Machine learning

Models that forecast, classify, recommend or detect, built on your data and put into daily operation where they earn their keep. We measure them against the plain alternative first; a model has to be better than the rule it replaces.

AI features and assistants

Assistants, search, summarization and generation built into your own software and working on your own data, with the controls a business needs: access, accuracy checks, records of what was done. Useful where it helps, left out where it does not.

Intelligent automation

Taking the repetitive work out of a process: documents read, data moved, decisions made by rule or by model, exceptions handed to a person. Measured by the hours it gives back.

Advisory

Product and service design

Working out what to build before building it: who it is for, what it has to do, what it can leave out, how it will be used and how it will be paid for. Delivered as a design you can act on, with us or with anyone.

Technical feasibility studies

A clear answer to “can this be built, with what, for roughly how much and by when”, before money is committed. Short, written, and honest when the answer is no.

Architecture and software audit

An independent look at a system you run or are about to buy: how it is built, where it is fragile, what it will cost to keep, what to change first. Written for the people who have to decide, not only for engineers.

Security assessment

A review of how a system, a network or a process could be attacked and what to do about it, in order of importance. Practical findings with fixes, not a list of alarms.

Program and delivery management

Running large or multi-team technology programs: scope, plan, dependencies, risks, budget, the reporting that keeps leadership informed and the decisions that keep the work moving. Experience with programs that span many teams and countries.

Agile delivery

Setting up or repairing the way a team delivers software: planning, cadence, quality gates, how work is tracked and how it reaches production. Whichever method fits the team, applied with discipline rather than ceremony.

Quality and operations

Quality assurance and testing

Finding problems before users do: test strategy, automated tests, performance and load testing, release checks. Built into the way the software is made, not bolted on at the end.

DevOps

The pipeline from a change in the code to a change in production: builds, tests, deployments, rollbacks, monitoring. Automated, repeatable and visible.

Support and maintenance

Keeping software running after launch: monitoring, fixes, security updates, small improvements, and a person to call. Agreed response times and a plain monthly report.

Performance and cost optimization

Making software faster and cheaper to run: finding what is slow, what is oversized and what is paid for but unused. Measured before and after, so the gain is real.

How a piece of work runs

Understand
We learn the problem, the people and the constraints before proposing anything.
Design
We write down what will be built, what it will cost and how long it will take, and we agree it with you.
Build
We deliver in steps you can see and use, with testing throughout.
Run
We put it into operation, hand it over or keep running it, and stay accountable for how it behaves.