Rhino Health

Rhino Health's mission is to activate the world’s health data. Our software, the Rhino Federated Computing Platform (Rhino FCP), streamlines the process of building data analytics and AI/ML development and deployment at health networks around the world without requiring data sharing.

Using Edge Computing and Federated Learning (the combination of which we call ‘Federated Computing’), we bring the computation power needed to conduct analysis and extract insights directly to the data instead of requiring data to be centralized. Rhino FCP empowers progress in areas such as drug discovery, disease prediction, public health surveillance, and responsible AI development. Data engineering, informatics, and AI/ML leaders at >50 leading hospitals, top 10 pharmacos, and public sector organizations are using Rhino's software to harmonize their data, do federated analytics, train AI models, and even deploy custom code - all while preserving patient privacy, data security, and data sovereignty.

Rhino FCP provides a full suite of innovative applications for accelerating data pipeline development and deployment, in a cost-effective way:

  • The Harmonization Copilot: Generative AI-powered workflow that reduces data harmonization expenses by automating the mapping of idiosyncratic data into a target data model, leveraging Large Language Models that scale across clients without requiring any data transfer for model training or inference.
  • The Federated Computing app: Use edge computing to run compute on distributed data - be it for federated analytics (e.g. patient counts), preprocessing / annotation / transformation of data, or federated training and validating AI models. This is all enabled by several confidentiality and privacy-enhancing features such as role-based access control, differential privacy, k-anonymization, and encryption.
  • Federated Datasets app: Online database and visualization layer for multimodal datasets sitting behind the client’s firewall, allowing for rapid discovery and seamless linking into new analytics and development projects by internal and external viewers.
  • Federated Trusted Research Environment (fTRE): Allows organizations to grant third parties controlled access to data sources, facilitating analysis including a full suite of biostatistical methods, AI model development, and deployment of commercial software packages on those data); but ensuring data always remain behind the site’s firewall.

Rhino Health is headquartered in Boston.

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