MD.ai

MONAI (Medical Open Network for AI) is a free, open-source, PyTorch-based framework designed to accelerate AI in healthcare. It provides a comprehensive ecosystem of tools for researchers and clinicians, covering the entire AI lifecycle from data annotation and model training (MONAI Core, MONAI Label) to clinical deployment (MONAI Deploy), bridging the gap between research and real-world application.

Jiva.ai is a zero-code, end-to-end platform for rapid multimodal AI development. It empowers organizations to build, train, and deploy complex AI models using imaging, video, text, audio, and structured data, without needing extensive data science expertise.

Neural4D is an advanced AI platform for 4D medical imaging analysis. It leverages deep learning to process spatio-temporal data from dynamic CT, MRI, and PET scans, enabling faster diagnostics, precise tumor tracking, and quantitative analysis of physiological functions for healthcare professionals and researchers.

Prodigy is a scriptable annotation tool for AI, Machine Learning, and NLP, designed for developers. It enables rapid creation of high-quality training and evaluation data through model-assisted, human-in-the-loop workflows. It runs on your own infrastructure, ensuring complete data privacy and control.

RapidAI is a leading clinical AI platform that enhances medical imaging analysis for life-threatening conditions like stroke and aneurysm. It provides healthcare professionals with real-time, actionable insights to accelerate diagnosis, inform treatment decisions, and improve patient outcomes. The platform is backed by extensive clinical validation and multiple FDA clearances.

Segmed provides large-scale access to de-identified, diagnostic-grade medical imaging data for AI development and clinical research. Its platform, Openda, offers millions of tokenized studies from a diverse global network of healthcare providers. Segmed accelerates innovation for life sciences, medical device, and technology companies by providing regulatory-grade, multimodal datasets crucial for training AI models, validation, and securing FDA/CE clearance.

RapidAI is a leading clinical AI platform that enhances medical imaging analysis for life-threatening conditions like stroke and aneurysm. It provides healthcare professionals with real-time, actionable insights to accelerate diagnosis, inform treatment decisions, and improve patient outcomes. The platform is backed by extensive clinical validation and multiple FDA clearances.

ModAstera is a no-code AI development platform designed for medical applications. It automates predictive modeling for patient risk and outcomes, featuring AI-assisted data annotation and one-click deployment to significantly reduce development time and costs for health tech innovators.

Prodigy is a scriptable annotation tool for AI, Machine Learning, and NLP, designed for developers. It enables rapid creation of high-quality training and evaluation data through model-assisted, human-in-the-loop workflows. It runs on your own infrastructure, ensuring complete data privacy and control.

Labelbox is a comprehensive data-centric AI platform, or "Data Factory," designed for AI teams. It provides integrated software, expert services, and a talent marketplace to create, manage, and evaluate high-quality training data for advanced AI models, including LLMs and multimodal systems.

Playment is an enterprise-grade data solutions platform, now part of TELUS International. It specializes in providing high-quality, human-annotated data for training and validating AI and machine learning models. Leveraging a global community of over one million contributors, Playment offers services like data collection, annotation, and validation for computer vision, NLP, and generative AI, ensuring speed, scale, and precision for ambitious AI projects.

Label Studio is a versatile open-source data labeling platform designed for a wide range of data types. It enables users to annotate images, text, audio, video, and time-series data to fine-tune LLMs, prepare training data for machine learning, and validate AI models with human-in-the-loop feedback.

MONAI (Medical Open Network for AI) is a free, open-source, PyTorch-based framework designed to accelerate AI in healthcare. It provides a comprehensive ecosystem of tools for researchers and clinicians, covering the entire AI lifecycle from data annotation and model training (MONAI Core, MONAI Label) to clinical deployment (MONAI Deploy), bridging the gap between research and real-world application.

Jiva.ai is a zero-code, end-to-end platform for rapid multimodal AI development. It empowers organizations to build, train, and deploy complex AI models using imaging, video, text, audio, and structured data, without needing extensive data science expertise.

DefinedCrowd is a leading provider of high-quality AI training data. It leverages a global crowd to collect, annotate, and enrich data for machine learning models, specializing in speech, NLP, and computer vision. It offers a fully managed service to help companies build robust and unbiased AI applications at scale.

Zilliz is an enterprise-grade vector database built for scalable AI applications. Powered by the popular open-source project Milvus, it provides a high-performance, cost-effective, and fully-managed service (Zilliz Cloud) for storing, indexing, and searching billions of vector embeddings. It's designed to power applications like RAG, recommendation systems, and multimodal search, with seamless integrations into major AI frameworks and cloud platforms.

X-ray Interpreter is an AI-powered platform that provides instant, detailed analysis of radiological images like X-rays, CT scans, MRIs, and ultrasounds. It offers a reliable second opinion for patients, families, and medical professionals, delivering easy-to-understand reports to empower informed healthcare decisions. The service is fast, secure, and cost-effective, with a free preview option.

A professional data annotation service and platform providing high-quality, accurate labeled datasets for machine learning. It supports diverse data types like images, video, text, and audio, offering flexible pricing, a self-serve platform, and fully managed services to scale AI projects of any size.

Grably is a decentralized data ownership network (DeDON) providing high-quality, ethically sourced AI training data. It offers a vast collection of off-the-shelf datasets, custom data collection, curation, and annotation services to accelerate AI development while allowing users to monetize their data securely and transparently.