Custom C++ applications from our C++ development company.

C/C++ development for system-level software, desktop applications, embedded systems, and performance-critical tools — Win32, MFC, Qt, and modern C++20 for maximum speed and hardware access.

MetaDesign Solutions has been delivering C/C++ — Cross-Platform Desktop Apps solutions since 2006, with 200+ projects across Fortune 500 enterprises, digital-native startups, and SMEs in the USA, Australia, and India.

Most C/C++ — Cross-Platform Desktop Apps teams are staffed within 1-2 weeks. We begin with a discovery phase, then scale the team based on your roadmap. Contact us for a free consultation and project estimate.

We offer dedicated teams, fixed-price projects, and time-and-material contracts. All engagement models include project management, quality assurance, regular demos, and transparent progress reporting.

We mandate modern C++14/17 standards, explicitly avoiding raw pointers. We exclusively utilize smart pointers (std::unique_ptr, std::shared_ptr) and RAII (Resource Acquisition Is Initialization) to guarantee deterministic, safe memory deallocation.

Yes, our engineers utilize the native C++ SDKs of platforms like Maya, Blender, or Unreal Engine to build highly optimized plugins that manipulate complex vertex data or execute custom shading algorithms at near-hardware speeds.

We primarily utilize Qt (C++) for enterprise applications requiring rich, complex user interfaces across Windows, Mac, and Linux, ensuring native look-and-feel and unparalleled rendering performance.

We optimize embedded code by minimizing dynamic memory allocation, utilizing bit-wise operations for math, writing critical interrupt service routines (ISRs) in inline assembly, and aggressively stripping unused symbols via compiler flags.

Absolutely. We utilize C-ABI (Application Binary Interface) to build safe FFI (Foreign Function Interface) bridges, allowing us to rewrite highly vulnerable C++ components in Rust, securely linking them back into the legacy C++ architecture.

We utilize `std::thread`, `std::async`, and modern thread pools for parallel execution. We strictly manage shared state using `std::mutex` and `std::atomic` to prevent data races and ensure thread-safe concurrent performance.