C++ development services with explicit resource ownership
We build and modernize C++ engines, native libraries and device applications for teams evolving performance-critical software. Our C++ development services combine explicit resource ownership, stable interfaces and a reproducible build, with changes measured against representative workloads.
01Capabilities
Native components and applications built around your workload
We focus C++ on the computation, native interface or application that benefits from it. For supplier kits and interfaces built around C, we assess that fit separately.
- Core
Performance-critical computation
We build simulation and modelling cores, signal and image processing, and geometry, pricing and optimisation engines. We keep the performance-critical surface bounded and measure it in the context of the application that calls it.
- Library
One native library for several callers
We design native libraries with a stable interface for Python, .NET, Java and Node consumers. A single implementation makes the same algorithm available to every caller; our platform and integration work defines that boundary.
- Devices
Instrument control and long-lived desktop software
We develop data acquisition, machine control and desktop software connecting physical equipment to business systems. The scope includes diagnostics and test tooling in automotive and monitoring software in energy and utilities.
- Ageing
Incremental modernization of established C++
We upgrade language standards and modernize existing code that uses raw pointers or hand-rolled containers. Our legacy modernization uses reviewable changes, reproducible builds and tests, keeping existing behaviour as the reference.
02Fit
How much of your system belongs in C++?
We choose C++ against the workload, required libraries and code your team will maintain. The decision can support a new native component, an incremental upgrade or an application in another language.
| Your situation | What we recommend |
|---|---|
| Heavy arithmetic, timing that has to stay steady, and mature libraries already in your field | Use C++Reuse numerical, signal and geometry libraries, then measure performance on the target platform. Timing depends on allocation and workload as well as the language. |
| The whole system is business rules, screens and a database | C#, Java or DjangoUse C#, Java or Django for the application, retaining a native C++ library where a measured compute requirement calls for it. |
| A bare microcontroller, kilobytes of memory, and a supplier kit written for C | Assess CUse C when the supplier kit and interfaces make it a good fit. C++ can also suit embedded targets with appropriate compiler and runtime support. |
| A new, self-contained part where a memory bug would be the worst outcome | Consider RustCompare Rust for a bounded component where memory safety is a requirement. Check the libraries and interfaces needed by the surrounding system. |
| A large existing codebase with manual memory handling and older language constructs | Modernize in stepsIntroduce tests, supported runtime checkers and static analysis. Update resource ownership and language standards in reviewable steps under an agreed warning policy. |
| You need the engine reachable from a Python or .NET application | Keep one coreGive the engine one tested interface and share its implementation across callers. The surrounding application keeps its existing language and development workflow. |
Scope
We take responsibility for resource lifetimes, the build and the library boundary, including how large the native component needs to be. Our information-security and quality management systems are certified to ISO 27001:2022 and ISO 9001:2015. The company brings 100+ senior in-house engineers across six countries and software delivery experience dating to 2012.
03Delivery
Make C++ changes measurable and transferable
We establish a reproducible baseline before changing the component. Tests and explicit resource ownership support the changes; representative measurements show what they achieve.
- Make the build repeatable before touching codeWe pin the compiler and build tools, then reproduce the build with one command on another machine. That baseline makes the component transferable and gives tests and measurements a consistent starting point.
- Get a test harness and the run-time checkers goingWe add automated tests and supported checkers for memory use, undefined behaviour and threading. Instrumentation depends on the test platform and available resources. We run these tools in testing and validate the resulting component against its operating requirements.
- Fix ownership before optimising anythingWe make ownership of memory and other resources explicit in the code. Resource handles tie cleanup to a defined lifetime, reducing manual bookkeeping without turning C++ into a memory-safe language. Optimisation follows a clear ownership model.
- Measure, change one thing, measure againWe profile the component against representative data, change one thing and measure again. Processor time, memory use and timing are assessed against the agreed workload so the effect of a change is visible.
04Stack
Languages that connect to your C++ component
The native core is one part of the architecture. These language choices shape its callers, device interfaces and the ownership of new components.
05Questions
Questions about evolving an existing C++ system
Continuing investment in C++ depends on the libraries, tool support and maintainable interfaces your product needs. These answers cover the practical decisions around that investment.
Yes. Our C++ engineers own the component's resource behaviour and build while working with your domain specialists and equipment.
The design receives review from an architect outside the delivery team, and the work follows our QA practice. For a team with unicrew delivery coordination, choose managed teams. For responsibility for an agreed outcome, choose custom software development.
Choose the language against the supported toolchain, libraries and interfaces. A supplier kit built around C can make C the practical choice.
C++ also runs on embedded targets where the compiler and runtime support the features you need. Its resource-management abstractions can suit both device and application code. We check the actual memory budget and existing code, including embedded Linux, rather than treating an operating system as the dividing line.
Consider Rust for a new, bounded component where memory safety is a requirement. C++ fits when the component relies on its libraries or needs to integrate closely with existing C++ code.
We also consider who will maintain it and the team's language knowledge. Either option needs measurement against the target platform and workload; the language choice alone does not establish latency.
Yes. We modernize existing C++ in reviewable steps, using the current behaviour as the reference.
- Establish a reproducible build and tests, with supported runtime checkers.
- Upgrade language standards under a warning policy that tightens as the code improves.
- Replace hand-rolled containers and manual resource handling in the areas being changed.
A broader replacement is assessed against the product requirements and integration scope.
We use a synthetic sample to develop tests and profile the component, then validate against real inputs on your side.
We ask for data sizes, ranges and distributions so the sample represents the workload characteristics. Synthetic results guide the changes; final measurement uses your real inputs, with us reviewing the measurements while the data remains with you.
Start with an engineering scoping call and a review of the existing repository and build instructions.
We define what to make reproducible, what to measure and which behaviour and interfaces to retain. The written scope sets the basis for the estimate. Most engagements start within two to four weeks.
C++ work is quoted against the component, integration and validation scope. We agree an engagement model around that scope.
- Time and materials is billed hourly and quoted per project.
- Fixed price is outcome based and quoted per project.
- Team extension is billed monthly per team member.
Build reproducibility, dependencies and representative measurement needs inform the estimate.
Define the next change to your native software
Share the component's role, current build and performance requirement. We will scope the work around a reproducible baseline, the interface to preserve and the behaviour to measure.