A hardware-level computer vision and input simulation framework written in C/C++. Powered by YOLO object detection with multi-GPU support. Built for automated QA testing, robotic process automation, and biomechanical UI research.
Six interconnected subsystems written in C/C++ working in concert to deliver physically-accurate input simulation.
Integrates directly into the Windows kernel memory pool, pushing input signals through legitimate driver for zero-latency and evasion, true-hardware simulation.
Ring-0 DriverMulti-GPU accelerated object detection pipeline powered by YOLO. Supports CUDA, DirectML backends to run on NVIDIA, AMD, and Intel hardware.
Multi-GPUNonlinear hybrid state machines with S-curve motion profiles, continuous velocity fields, and bounded oscillation. No infinite-jerk coordinate snapping.
S-Curve MotionSub-pixel quantization handling and dynamic deadzones faithfully replicate the latency and acceleration ramps of human motor control systems.
Human MimicryHMAC-SHA256 cryptographic signing with hardware-bound UUID licensing. Proof-of-possession tokens on every authenticated session.
Zero TrustEntire framework written in C and C++, compiled to native machine code. Polymorphic memory allocation ensures seamless integration across varied environments.
Bare MetalAll tiers include the full framework. Pick the duration that fits your evaluation or production cycle.
Quick evaluation access for testing and benchmarking.
Extended testing for research and development cycles.
Full production access with priority support and updates.
Maximum value with dedicated onboarding and early access.
Check your license status, download the framework, or request a self-service HWID reset.
Enter the license key and email address used during checkout.