// madhawk.xyz
AI that runs locally.
Small, specialized AI models built for real-world applications.
We train custom AI models and build production-ready applications around them - all running on your hardware, no cloud required.
WHAT WE DO
Train models. Build applications.
Madhawk works end-to-end - from raw data to a deployed application. We train lightweight, specialized models on your dataset and wrap them in production-ready software that runs entirely on your hardware.
Model Training
We train small, task-specific models on your data. Optimized for your target hardware — CPU, GPU, or edge accelerators. Delivered as ONNX, TensorRT, or CoreML.
Application Development
We build the software layer around the model — desktop apps, mobile apps, or embedded systems. The full pipeline from sensor input to inference output, running locally.
CAPABILITIES
What we build.
We work across computer vision and sensor fusion tasks — training models and shipping applications for each.
Segmentation
Pixel-level scene understanding for roads, terrain, structures, and custom object classes. Semantic and instance segmentation running in real-time on CPU and GPU.
Object Detection
Fast, accurate detection of people, vehicles, equipment, and domain-specific objects. Optimized for real-time inference on edge hardware with sub-10ms latency.
Depth Estimation
Monocular and stereo depth estimation from standard cameras. Dense depth maps for robotics, autonomous navigation, and 3D scene reconstruction — no LiDAR required.
Sensor Fusion
Fusing LiDAR point clouds, RGB cameras, and IMU data for robust 3D perception. Used in autonomous vehicles, drones, and industrial robotics.
Multi-Object Tracking
Real-time tracking of multiple objects across frames with persistent IDs. Trajectory prediction and collision risk estimation for autonomous systems.
3D Reconstruction
Structure from Motion and Neural Radiance Fields for photogrammetry, digital twins, and spatial mapping from standard camera footage.
ARCHITECTURE
Local by design.
No API required
Models run entirely on-device. No network calls, no latency from round-trips.
No cloud dependency
Deploy once. Works offline, air-gapped, or in restricted environments.
Private data stays local
Inference happens on your hardware. Your data never leaves the device.
Optimized for real hardware
Quantized and compiled for CPU, GPU, and edge accelerators.
CUSTOM MODELS
Need a model for your own data?
We train, optimize and deploy specialized AI models for your dataset, product and target hardware.
CONTACT
Get in touch.
Interested in a custom model or want to learn more about our applications? Reach out and we'll get back to you.