Screen image analysis
NeuroSK uses a neural network that analyzes the on-screen image in real time and adjusts mouse movement. In Rust this allows you to achieve precise and stable aiming.
NeuroSK analyzes each frame in real time and translates neural-network output into precise mouse movement — without injecting into Rust.
NeuroSK uses a neural network that analyzes the on-screen image in real time and adjusts mouse movement. In Rust this allows you to achieve precise and stable aiming.
Unlike classic cheats and aimbots, the program does not inject into the game process and does not interact with memory. Control is handled through special drivers, which makes usage as safe as possible.
Minimal setup, high efficiency, and consistent results — the key advantages of NeuroSK.
Rust benefits from accurate long-range detection, but profiles should match the weapon, optic, and typical engagement distance.
Prioritizes recognition of smaller targets.
One profile cannot cover every scenario.
Use distinct settings for weapons, optics, and engagement distance.
Initializing stream
The demonstration uses a high aiming speed so the effect is clearly visible. In the app, speed and smoothness can be tuned freely for natural crosshair movement.
NeuroSK does not interact with the process memory — mouse control is handled through drivers, which reduces the risk of EAC detection.
The program analyzes the screen in real time and aims the crosshair at enemies when you press the aim button.
No. It works right after installation, though sensitivity and the analysis zone can be adjusted.
Windows 10 / 11, a GTX 1660 graphics card or better. The program uses the GPU while keeping stable in-game performance.
Head to the NeuroSK home page, compare the available versions, and choose the right option for you.
Versions, pricing, system requirements, and access instructions.