Sirius
Confidential data lending: companies rent their private datasets to AI teams for training, without the data ever being exposed. https://sirius-data.tech
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Sirius: confidential data lending
Companies sit on valuable datasets they can never share. Sirius lets a data provider lend a dataset for model training without ever
revealing the raw data.
How it works
1. A verified provider publishes an encrypted dataset with a price.
2. A verified borrower locks USDC in an on-chain escrow on Robinhood Chain.
3. Training runs inside a confidential enclave. The data is decrypted only there, and the enclave signs an attestation of what it ran.
4. The borrower receives the trained model, never the data. The escrow pays the provider automatically. If training fails, the borrower
is refunded, minus only the compute actually used.
Why it matters
- Providers earn from data they could not monetize before, with no leak risk.
- Borrowers get models trained on data they could never access.
- Every loan is auditable: escrow events on-chain, attested execution, public audit trail.
Built with
Solidity escrow and KYB registries, a Next.js app with Google or wallet login, and a hardware-attested enclave runner. Mainnet beta on
Robinhood Chain on October 6, with per-loan caps and invitation-only access.