Matrice provides an enterprise Vision AI factory for building, training, and deploying computer vision models using Transformers and CNN architectures. The platform streamlines workflows from data ingestion and annotation to scalable, multi-cloud deployment with integrated drift monitoring. This infrastructure accelerates the development of specialized AI applications across industries like manufacturing, healthcare, and retail.
Funding
Funding not disclosed
Founders
Product
Problem
Computer vision (CV) teams face challenges including complex dataset management, a lack of machine learning expertise, complex deployment processes, and high infrastructure costs. Managing unstructured image and video data requires advanced preprocessing. Optimizing deployments for vision AI models is crucial for faster and more affordable predictions, yet often challenging.
Solution
Matrice AI offers a comprehensive computer vision platform designed to streamline machine learning workflows. The platform simplifies dataset management, automates machine learning tasks, and optimizes deployments, reducing development time and infrastructure costs. It provides tools for data annotation, model training, inference, and deployment, all within a no-code environment. By offering access to the latest AI hardware and multi-cloud integration, Matrice AI enables teams to rapidly deploy high-quality CV models across various use cases.
Target Audience
The primary target audience includes ML engineers and computer vision teams across various industries looking to accelerate the deployment of computer vision applications and reduce development costs.
Features
- No-code interface for building and deploying ML models using a drag-and-drop interface
- AI-assisted data labeling to accelerate data annotation and ensure high-quality, consistent labeling
- Efficient AutoML for optimizing models at scale and enabling rapid deployment
- On-device inference for performing real-time AI inference directly on edge devices
- Multi-cloud deployment across AWS, Azure, GCP, and more
- Modular platform integration for tailoring the AI platform to specific needs
- Private import/storage with support for AWS, GCP, and OCI, as well as multiple annotation import formats (MSCOCO, ImageNet, LabelBox)
- Access to the latest AI hardware (GPU) at flexible cost with multi-cloud integration (AWS, GCP, OCI)
- Single-click deployment with auto-scaling, drift monitoring, and model retraining