Sold by: Rhino Federated Computing
Deployed on AWS
The Rhino Federated Computing Platform (Rhino FCP) 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, disease prediction, fraud detection, supply chain optimization, and more.
Overview
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 in transit, at rest and at execution.
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.
Highlights
- Federated Computing
- Federated Datasets
- Data Harmonization
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Cost/12 months |
|---|---|
Units | $999,999.00 |
Dimensions summary
This listing uses a contract pricing model with a single dimension called Units. You buy Units under a negotiated agreement rather than paying per hour or by fixed tier. This structure lets you scale your commitment based on how much of the federated computing platform you plan to use. Because pricing centers on one flexible measure, you match your purchase to your expected workload across connected data sources and sites. Contact the vendor to determine how many Units fit your deployment.
Top-of-mind questions for buyers
The pricing table defines the platform in Units under a negotiated contract, but does not specify what one Unit maps to in concrete terms. It may reflect connected data sites, deployed workloads, or compute at the edge. Contact the vendor to confirm how Units are counted for your deployment.
The platform lets you connect new data sources and deploy new workloads at the edge as you scale. Because pricing centers on Units bought under a contract, adding sites or workloads may require more Units. The contract structure sets how your commitment adjusts. Contact the vendor to align Units with growth.
The platform supports federated analytics, federated learning, and federated inference across connected sites. The pricing table lists one Unit dimension under a contract, so these activities are not billed as separate line items. Instead, your Unit commitment covers platform use. Contact the vendor to confirm which activities your Units enable.
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Support
Vendor support
Product support is available by contacting: support@rhinohealth.com
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