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Federated Data Science

MLOps and deployment · by Rhino Federated Computing

Run the full data science lifecycle—exploration, data preparation, analysis, model training, validation, and inference—across distributed data environments with full control and compliance.

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What it does

Run the full data science lifecycle—exploration, data preparation, analysis, model training, validation, and inference—across distributed data environments with full control and compliance.

  • Federated learning
  • Federated analytics
  • Federated inference
  • Data harmonization
  • AI model deployment without data movement
Category
MLOps and deployment
Built for
Healthcare and life sciences
Users
Healthcare AI developers, Medical researchers, Financial services institutions, Life sciences organizations and 1 more
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Pricing

Pricing isn't published

Rhino Federated Computing doesn't list prices publicly. Ask them for a quote.

Security and compliance

As reported by Rhino Federated Computing. Ask for audit reports before you buy.

  • ISO/IEC 27001Compliant
  • SOC 2 Type IICompliant
  • HIPAACompliant
  • GDPRCompliant
  • role-based access control (RBAC)
  • encryption with customer-managed keys
  • differential privacy
  • k-anonymization
  • homomorphic encryption
  • confidential computing
  • enterprise key management
  • audit-ready logging
  • secure containerized code deployment

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