Frequently asked questions
How is Rexis different from other DeSci or health data platforms?
Rexis is the first biomedical data platform to support full encrypted AI workflows—training to inference—on sensitive biomedical data. Unlike data DAOs that focus only on access, Rexis includes model finetuning, inference, and auditability in one unified framework.
Is this compliant with HIPAA and GDPR?
Yes. Rexis is designed to meet strict regulatory standards. All processing happens on encrypted data, and all access is governed by privacy-preserving smart contracts with audit trails.
What kinds of biomedical data does Rexis support?
Rexis supports EHRs, genomics, clinical trials, ECG/EEG, imaging (X-ray, MRI, pathology), and spatial omics. All are processed in encrypted form using Equivariant Encryption (EE).
Can Rexis be used across multiple institutions?
Yes. Rexis is built for multi-institutional collaboration. It allows hospitals, labs, and pharma to jointly train and evaluate models—without moving or exposing raw data.
How are data contributors rewarded?
Data providers receive governance tokens tied to dataset value and usage. This incentivizes continued contribution while ensuring control over how their data is accessed.
Do I need to trust Rexis to run secure computation?
No. Rexis never sees your plaintext data. The platform uses EE to ensure that data, gradients, and model parameters remain encrypted—even during training or inference on shared infrastructure.
Can regulators or external auditors verify results?
Yes. Rexis logs cryptographic proofs and model hashes on-chain. This enables independent validation of AI results without exposing any patient information.
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