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Federated Model Networks

MLOps and deployment · by Rhino Federated Computing

Deploy proprietary AI models at enterprise scale without shipping weights, receiving client data, or bespoke infrastructure per customer.

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What it does

Deploy proprietary AI models at enterprise scale without shipping weights, receiving client data, or bespoke infrastructure per customer. Supports inference at the edge, federated learning, and private fine-tuning.

  • 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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