Rhino Federated Computing addresses a fundamental constraint in artificial intelligence: the difficulty of training models on data that cannot be centrally pooled. The company builds technology that allows multiple parties to collaborate on AI projects without sharing their raw, sensitive data. Its approach is rooted in federated computing and edge computing principles.
The company's core product is the Federated Computing Platform. It works by training AI models locally at each data source, using techniques from federated learning. Only the learned model insights, not the underlying data, are then combined. This architecture is designed for sectors where data privacy and sovereignty are paramount, including healthcare, biopharmaceuticals, financial services, and government.
