Easily leverage virtual machines designed to support a variety of research goals
Flexibility to Operate and Scalability to Compute
• Common Data Science Tools and Custom packages with popular libraries & tools.
• Wide range of computing options from cost-effective minimal resource setups to large, robust, GPU-powered engines.
Project Collaboration Framework
Coordinate team projects with access to shared storage, costing dashboard, role hierarchies, and requests for exporting results.
Suite of SDKs and sample notebooks
Query multimodal data, effortlessly discover variables at scale, and perform specialized tasks using the programming platform. Our Data Science Platform in healthcare offers unmatched flexibility and scalability.
AI-powered workflows are developed incorporating Segment-Anything Models, custom LLMs, and a variety of other pre-trained models. These semi-automated workflows improve annotation speed and efficiency.
Large-scale text annotation and image labeling projects are handled efficiently with the built-in project-management features. From organizing datasets to assigning tasks and tracking progress, the platform offers intuitive tools to facilitate collaboration and ensure project efficiency. Medical data annotation is streamlined through robust tools and workflows.
Resolve discrepancies in annotations with systematic quality validation framework. The adjudication workflow ensures the reliability and accuracy of labeled data by addressing inconsistencies between multiple annotators.
Collaborative Data Science
Federated learning
ML flow framework
Collaborative Data Science
nSights federated analytics is collaborative data science without centralized data collection. In essence, the platform enables the data scientists to answer one question across multiple data sources by writing only one query. We revolutionize Data Science in Healthcare with our federated analytics.