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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.

Tiến độ hackathon

- Ported the full protocol to Robinhood Chain: escrow v7 with on-chain compute quotes and bounded failure fees, dataset registry, strict KYB registry. - Shipped a hardware-attested enclave runner with an end-to-end tested training flow, plus a budgeted, audited settlement engine. - Added Google sign-in with an embedded wallet and transaction confirmations, plus a guard that checks every transaction before signing. - Ran a full security audit and fixed all launch blockers: circuit breaker, finality handling, retryable settlement, fee replacement, beta exposure caps.

Trạng thái huy động vốn

Not raised yet. Bootstrapped by the two co-founders. Prize winners at Hack The Block (XRPL Commons) and the PBW Boundless track. Open to a pre-seed round after the mainnet beta.
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AAli Ben Yezza
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