MONAI (Medical Open Network for AI) is an open-source framework for healthcare imaging AI. It provides tools to build, train, and deploy medical AI solutions. MONAI aims to bridge the gap between research innovation and clinical implementation, offering enterprise-grade solutions for advancing healthcare technology.
Open-source framework for healthcare imaging AI development and deployment.
- AI Integration in Clinical Imaging at Mayo Clinic Florida
- Rapid Deployment with Mercure DICOM
- Digital Marketplace Integration with Siemens Healthineers
- MONAI provides frameworks (Core
- Label
- Deploy) and a model zoo. Use MONAI Core for training AI models
- MONAI Label for intelligent image annotation
- and MONAI Deploy for deploying models in clinical settings. Join the community for support and contribution.

Free online jewelry appraisal using AI and access to appraisers.


A suite of solutions for automatic license plate and vehicle recognition.


DataVLab provides AI data labeling and image annotation services for various industries.


Geospatial AI platform for object detection and analysis on Earth observation data.


Ultralytics provides vision AI tools and platforms for creating, training, and deploying ML models.


Pixel Machha is a live event photography platform that utilizes AI face recognition to streamline photo delivery from camera to guests. It features automatic FTP uploads, real-time galleries, branded guest albums, and multi-platform export tools for social media teams.


No-code AI vision platform for dataset management, annotation, training, and deployment.


Landing AI provides a visual AI platform for building and deploying computer vision models.


Image Recognition API for tagging, categorization, visual search, and content moderation.








