Rhino Federated Computing

Read 5 Rhino Federated Computing reviews and testimonials from customers, explore 9 case studies and customer success stories, and watch customer videos to see why companies chose Rhino Federated Computing as their

Rhino Federated Computing Platform allows enterprises to set up computation pipelines on distributed data sources in days, not months - while still respecting confidentiality, privacy and data sovereignty. Rhino FCP is powered by Edge Computing and Federated Learning - innovative techniques that ‘bring code to the data’, training AI models locally in order to arrive at better outcomes for applications such as drug discovery and fighting financial crime.

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Customer Rating Review Score based on 245 reference ratings
4.7/5.0 (245)

5Testimonials

  • "Rhino Health's Federated Datasets feature enables Assuta to collaborate with industry partners to promote healthcare innovation while ensuring patient privacy is held to the highest standard. We have been able …

  • “Overseeing our partnership with Rhino Health has been transformative. The Harmonization Copilot has changed how we handle clinical data, seamlessly integrating and standardizing vast arrays of information across multiple systems. …

  • “This project and Rhino's Federated Computing capabilities enable me to take my research to the next level, as I have been able to validate and improve the generalizability of algorithms …

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9 Case Studies

  • Federating a Quantile Regression Model for Neonatal Care at Tel Aviv (Sourasky) …

  • Increasing Transparency in AI Model Performance and Reducing Time to Insights with …

  • Automating Clinical Data Standardization for ARC Innovation at Sheba Medical Center with …

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Additional Rhino Federated Computing Information & Resources

Read Rhino Federated Computing Reviews, Testimonials & Customer References from 5 real Rhino Federated Computing customers.

Browse Rhino Federated Computing Case Studies, Customer Success Stories, & Customer References from 9 businesses that use Rhino Federated Computing.