02Systems

C++ / C

When computational throughput and hardware control dictate market advantage, modern C++ (C++20/C++23) and ISO C provide the raw capability required. We engineer custom GPU compute kernels, compiler AST traversal engines, zero-copy network architectures, and high-frequency execution pipelines. Our C++ practice powers low-level LLM inference optimization, Triton backend extensions, and custom memory allocators tailored for modern cache line topologies.

Why we choose C++ / C

01Direct hardware, SIMD vectorization, and cache-hierarchy optimization
02CUDA, ROCm, and Triton kernel integration for accelerated inference
03Deterministic manual memory layout and custom arena allocators
04Compiler plugin and Clang LibTooling AST inspection engines
05Sub-microsecond latency profiles for financial and inference workloads

Use cases

AI Inference & Kernel Acceleration

Custom Triton and CUDA kernels slashes KV cache memory footprint by 50%–70%.

Compiler Invariant Engines

Clang and LLVM AST analysis passes for automated static code gatekeeping.

Low-Latency Financial Systems

Zero-allocation order execution engines and market data decoders.

Native Mobile & Desktop Modules

High-performance native cores powering React Native and Node.js via C++ FFI.

SOVEREIGN COMPUTE • INVARIANT RUNTIME™

Low-Level Systems Feeding Frontier AI

Our C++ / C engineering directly powers our proprietary Invariant Inference™ runtime (slashing KV-cache memory by 50%–70%) and ZeroSlop™ automated code gatekeeping.

Building with C++ / C?

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