Experienced engineers, multiplied by AI.

The core team model

Many companies are reorganising around a small core team, because AI multiplies what experienced people can deliver. We did not have to make that change: TQG has always been a small, highly skilled team that takes on demanding systems and sees them through. AI now lets that team deliver at a pace that used to take a much larger one.

AI amplifies expertise. It does not replace it.

AI is part of modern software engineering. For us, using it is normal — and so is taking responsibility for the outcome. We combine Claude Code and ChatGPT with years of experience in software architecture, business processes, integration and quality engineering.

AI can explore alternatives, analyse complex contexts and accelerate implementation. Our engineers supply business context, challenge suggestions, make architectural decisions and verify how changes behave in the wider system. This is a productive collaboration, not a choice between people and tools.

From first draft to dependable software

Good results rarely arrive with the first proposal. We work iteratively: clarify requirements, compare approaches, implement, verify and improve. AI expands what the team can do; engineering judgment provides direction.

We apply this approach to analysis, development, refactoring, test preparation and documentation. We measure value by whether software fits the business need, works reliably and can be maintained — not by the volume of code generated.

Engineering principles still apply

Interfaces must remain reliable, security requirements still matter and changes must be manageable in production. Reviews, testing, architectural checks and integration verification therefore remain part of delivery.

Our aim: Combine the productivity of modern tools with the care and accountability of experienced engineers, without making blanket promises about speed or savings.