Train, Optimize & Deploy Vision Models at Scale
Access the latest vision models, automate training with Auto-ML, and deploy across edge, cloud, or on-prem environments. Matrice supports the full lifecycle from dataset to production-ready models.
Train State-of-the-Art Vision Transformers & CNNs
Access widely used and domain-tested architectures for classification, detection, segmentation, and more. 60+ pretrained models from PyTorch Vision. Out-of-the-box support for YOLOv8 and DETR. Compatible with classification, segmentation, and tracking tasks. Continuously updated with cutting-edge research. Optimized for deployment on GPUs and edge devices.
AutoML for Model Selection and Hyperparameter Tuning
Automate model selection and training pipelines based on your use case and deployment target. Model suggestions based on dataset characteristics. Auto-tuned hyperparameters for faster convergence. Works across AWS, GCP, OCI, and on-prem setups. Suitable for users with limited ML expertise. Easily switch to manual control for advanced users.
Train for Edge, Cloud, or Mobile Deployment
Select models and formats optimized for your deployment device—from mobile apps to security cameras. Optimize for edge devices like Jetson, Android/iOS. Supports video surveillance, industrial cameras, and robotics. Leverages ONNX and OpenVINO for reduced latency. Enables lightweight models for bandwidth-constrained environments.
Download and Deploy Trained Models Anywhere
Export your model in the right format for BYOM workflows, on-premise deployments, or hybrid infrastructure. Export in ONNX, TensorRT, or OpenVINO formats. Ready for cloud, mobile, and embedded devices. Supports secure deployment on private infrastructure. Compatible with industry tools and runtimes. Works for manufacturing, retail, and healthcare deployments.
Transforming Pixels
into Intelligence
Real time intelligence for existing cameras; One platform. Many Applications. Any Scale