Local AI detection, configurable tracking and a native Rust interface. Build your setup with models, scripts, controller mapping and capture tools in one app.
From choosing a model to configuring your controller, keep your workflow in one place.
Run ONNX models locally with supported GPU inference providers. Stack models and tune confidence, classes, offsets and field of view.
A Rust interface around the C++ engine, with live preview, device settings and physical controller input displays.
Use the built-in tracking pipeline or select a custom Lua script. Manage the models and scripts available to your account.
Configure supported outputs, activation buttons and mapping sequences, with controller and keyboard/mouse inputs.
Define recognition regions, organize weapon groups and configure recoil profiles for recognized weapons.
Choose a capture source, configure preview overlays and use the recording and clip editing workspace.
Built with efficiency and speed at the core.
A native C++ engine keeps capture, detection and controller output moving with multithreaded processing.
Keep tracking in step with your capture. Tune dynamic response curves, target follow and camera-motion compensation to fit your setup.
Run detection locally with TensorRT, CUDA or DirectML. Use supported GPU acceleration and model precision settings to keep inference latency low.
Choose the level of precision you need.