Rhino Federated Computing provides a platform designed for enterprises to build and manage computation pipelines across distributed data sources quickly, while maintaining data confidentiality, privacy, and sovereignty. Their core product, the Rhino Federated Computing Platform (FCP), leverages both edge computing and federated learning techniques. This approach 'brings code to the data,' enabling organizations to train AI models locally without moving sensitive data, which is especially valuable in regulated industries.
The platform is used for applications such as drug discovery, healthcare research, and financial crime prevention—areas where secure, distributed AI and data compliance are paramount. By allowing computation pipelines to be set up in days rather than months, Rhino FCP helps organizations innovate more rapidly while upholding strict data controls.
How was Rhino Federated Computing started?
Rhino Federated Computing was founded by a team with deep expertise in healthcare, AI, and technology. The founding team includes Ittai Dayan, MD (Co-founder & CEO), Yuval Baror (Co-founder & CTO), Chris Laws (COO), Antoni Abella-Vendrell (VP of Product), Adrish Sannyasi (VP of Customer Solutions), and Elke Nelson-Nichols, PhD (VP of Life Sciences). Their combined backgrounds in medical research, product development, and enterprise software shape Rhino's focus on secure and scalable AI solutions.
Who uses Rhino Federated Computing?
Rhino Federated Computing's customers span global enterprises, healthcare organizations, and technology leaders. Notable customers include:
- NTT Data
- National Cancer Institute
- Collective Minds Radiology
- Elise
- EHDEN
- TD Synnex
- Briya
- European Commission
- American College of Radiology
- Capgemini
- Microsoft
- Carahsoft
- Beyond BIO
- Google Cloud
- AWS
- Medinexo
- NVIDIA
- CHOM
These organizations use the Rhino FCP platform to support secure AI-driven research and analytics across sensitive, distributed data environments.
What makes Rhino Federated Computing different?
Rhino Federated Computing stands out by enabling organizations to conduct sophisticated computations and AI training directly where data resides, rather than requiring data centralization. This is particularly important for compliance with data privacy regulations and for industries with highly sensitive information.
You can learn more about their team and mission on their About page.
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