Desktop & specialist tools
We build dependable desktop software and specialist tools around complex workflows, equipment and everyday operations.
From websites and mobile apps to specialist tools, integrations and cloud systems, we design, build and support software around the people who use it.
We build dependable desktop software and specialist tools around complex workflows, equipment and everyday operations.
We create secure foundations that keep your data, systems and third-party services working together reliably.
We deploy, monitor and support software in the environment that best fits your organisation and its needs.
We design and build clear, high-performing online experiences that help people find, understand and take action.
We create polished mobile products that feel intuitive, perform reliably and connect with the systems behind them.
We build tailored web software for customers and teams, from focused tools to complete business platforms.
The order matters: nothing is built before it's scoped, and nothing ships before it's reviewed.
Every engagement starts with a written proposal: what we'll build, when it lands, and the development and maintenance rates. Agreed before we begin.
Frontier models produce at a pace no traditional team can match. Our engineers specify the work, direct it, and shape every output.
Line-by-line senior review, automated and manual testing, security checks. Nothing ships on trust alone.
Deployment and continuing development use a flat monthly rate; once live, monitoring and maintenance move to a lower monthly rate.
“AI made software fast. Judgment is what makes it dependable.”
Anyone can generate code now. Our work is knowing precisely what to ask for, recognising what's wrong with the answer, and refusing to ship until it's right. Clients feel the speed. They rely on the judgment.
Every completed engagement is benchmarked against the typical agency quote for the same scope, and published here, numbers attached.
AI is reshaping how software gets built. Used well, it creates a genuine advantage; left unchecked, it creates new ways for defects and security issues to reach production.
Controlled studies show meaningful gains in speed and task-level quality, while industry investment continues to accelerate.
In a randomized experiment with 95 professional developers, Copilot users completed a controlled JavaScript task 55% faster on average.
In a randomized study with 202 valid submissions from experienced Python developers, Copilot users were 53.2% more likely to pass all 10 unit tests.
Meta’s latest 2026 capital-expenditure guidance, with growth supporting its AI programmes and core business.
Generated code can look convincing while remaining incomplete, insecure or simply wrong. Accountability stays with the people shipping it.
66% of developers cited AI solutions that are “almost right, but not quite” as a frustration.
Across 80 security-focused coding tasks tested on more than 100 LLMs, 45% of generations introduced a known security flaw.
Although 90% of technology professionals use AI at work and more than 80% report productivity gains, 30% report little or no trust in exclusively AI-generated code.
Clear weekly briefings, useful research and practical resources for the people who build and lead software teams.
A map of the structural shifts reshaping how software gets built, from AI in the loop to teams, standards and cost.
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