Stack landing · Qt

Sevendyne Engineering Specialisations — Managed Qt Pods for Global Infrastructure.

Qt & QML pods — hardware–software synergy for industrial systems

When your roadmap needs fast native UIs, disciplined C++ for hot paths, and QML for polished interaction, we operate governed Qt pods built for safety-critical systems and embedded performance — multi-year programmes for UK and German industrial clients. Delivery includes the Transparent 15% Model and 100% IP transfer (Work for Hire).

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Where Qt fits

Qt is the right tool when the product is desktop-first or native-adjacent, not when a generic web shell is enough. We use it when teams need predictable frame times, tight integration with C++ libraries, and a UI layer that stays maintainable as complexity grows.

Multi-window desktop tools — trading, operations, engineering workbenches; keyboard-heavy workflows and dense data surfaces.
QML + C++ split — fluid UI in QML; physics, networking, game logic, and hot paths in C++ (education, simulation, consumer products).
Beside native SDKs — vendor APIs, proprietary engines, or performance libraries where a browser stack would fight you.
Long product life — teams that expect years of iteration, not a one-off campaign site.

Greenfield vs maintenance

New product / major version

Higher upfront cost: architecture, UI framework choices (Widgets vs QML), build and release pipelines, profiling baselines, and first stable release. Budget for discovery workshops and a short “foundation” milestone before feature velocity.

Maintenance & extension

Lower and steadier monthly burn: backlog grooming, bugfix releases, small features, Qt version upgrades, and test hardening. Best when the codebase and product boundaries already exist.

Engineering Leadership & Quality Standards

Every Qt pod ships with peer review cycles, CI/CD enforcement, and senior architectural oversight as baseline — not optional add-ons. Qt rewards adult supervision on threading, memory, and build hygiene: seniors own architecture, profiling, and native integration; mids ship feature slices in QML/C++ under review; juniors contribute on UI polish, tests, and bounded modules.

Typical greenfield pod shapes we have operated: 1 senior + 1–2 mid for early releases; long-running maintenance often 1 mid full-time + senior part-time for review and hard problems.

Representative delivery (on-page summary)

Concrete programme shapes — names and sectors may be anonymised where clients require confidentiality.

TradingSystemAPI UI

C++/Qt desktop for traders: multiple windows, fast refresh of market data, integration with proprietary trading libraries, controls tuned for low-latency interaction.

Qt widgets / views for dense operational layouts
Tight coupling to native strategy and market-data codepaths
Release discipline suitable for regulated or high-stakes desks

MONTAL Game (Qt/QML)

Commercial 2D game: QML for presentation and flow; C++ for movement, collision, and AI where frame budget matters.

Performance-critical loops kept out of QML
Shippable consumer product, not a prototype
Iteration cycle across gameplay and UI polish

Cost expectations

Custom Qt work is quoted in milestones after discovery — pricing. Dedicated pods use monthly GBP team economics under the Transparent 15% model — see role bands.

For planning only, many Qt programmes follow the same pattern as other native stacks: focused milestones first, then multi-month greenfield products phased by release. Exact numbers depend on scope, legacy constraints, target platforms, and test depth — we confirm in writing before kickoff.

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