Screen image analysis
NeuroSK uses a neural network that analyzes the on-screen image in real time and adjusts mouse movement. In CS2 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 CS2.
NeuroSK uses a neural network that analyzes the on-screen image in real time and adjusts mouse movement. In CS2 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.
CS2 works best with a compact analysis area and moderate correction speed that preserves natural crosshair movement.
Small adjustments when the crosshair is already close.
Configured for common angles and engagements.
FACEIT and ESEA are not supported.
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.
Yes. NeuroSK does not interact with the game memory and is not detected by VAC, since it only analyzes the on-screen image and controls the mouse through drivers.
The program analyzes the screen, detects enemies, and aims the crosshair at the head or body when you hold the aim button — improving accuracy and control.
No. It works out of the box. You can fine-tune sensitivity and the analysis zone, but the base configuration is already optimal.
Windows 10 / 11, a GTX 1660 graphics card or better. No additional hardware is required.
Head to the NeuroSK home page, compare the available versions, and choose the right option for you.
Versions, pricing, system requirements, and access instructions.