Sirius is now live on Robinhood Chain mainnet. Rent access to private datasets without ever exposing the underlying data. Data stays encrypted. Models train inside Intel TDX enclaves. Payments settle on-chain in USDG. You get the model. Never the data. sirius-data.tech

Your AI agent can now use Sirius. We just shipped our MCP server: Claude, ChatGPT, Codex, Gemini or Mistral can search private datasets, read prices and verify a training certificate. Read-only for now. Buying stays on the site. Connect yours in 1 min: sirius-data.tech/docs/mcp

We just made private AI training 30x faster. 15 minutes → seconds. Pay. Train. Get your model. Nobody sees the data. Nobody holds the money.

Your money shouldn’t depend on our permission. No model before the deadline? Anyone can trigger a refund on Sirius. The buyer gets the credit, minus compute used. Your money. Verifiable rules. Held by no one.

Your CSV can do more than sit in a folder. On Sirius, you set your price, track usage, and withdraw your earnings. Buyers train models without downloading your raw dataset. Here’s the provider experience, live on mainnet

Every product comes with a manual. No one ever reads it. So we brought ours to life. Say hi to Sirio, the guide built into Sirius → Welcomes you when you arrive → Guides you through each page → Answers your questions in real time Live on mainnet now sirius-data.tech

You rented out your data. When do you get paid? On Sirius, the buyer's payment is locked in a smart contract. The transaction that delivers the model credits the seller. Paid on delivery. Held by no one. Live on mainnet : sirius-data.tech

Our first live training session closes in 15 minutes, last chance to try it! Second session tonight 4–8pm UTC Train a model on a sample dataset or your own CSV inside a confidential TDX enclave running on Phala Cloud. Your data stays encrypted, only the model comes back to you. Free while it's open. demo.sirius-data.tech

Live training session is open Train a model on a sample dataset or your own CSV inside a confidential enclave running on @PhalaNetwork Cloud. Your data is encrypted in your browser and the trained model comes back to you. Free while the session is open. Closes tonight at midnight Paris time (22:00 UTC). ->demo.sirius-data.tech

Sirius Audit Trail Every loan leaves a receipt.

An NDA tells someone what they're not allowed to do with your data. It doesn't stop them. On Sirius the borrower never gets the choice: the dataset stays encrypted, training runs inside an enclave, and all that leaves is the model. What's the one dataset you'd never share, even under NDA?

Sirius update We've been heads-down building. Next on the road to mainnet: → Taking training to the next level with confidential computing → Escrow update: pay-per-compute, settled on-chain → Bigger datasets, async training, new models → KYB verification, followed by an independent audit Your data stays protected. The compute comes to it.

Introducing Private AI Training. Your data trains their AI. They never get to see it. Encrypted in your browser → opened only inside a hardware vault → a fingerprint on-chain, never the data → the model ships sealed → one transaction pays the seller and opens the capsule. No way to cheat. Train on data. Without exposing data.

Your data trains their AI. They never get to see it. On Sirius, your dataset is encrypted in your browser before it leaves your laptop. It’s decrypted only inside a hardware vault. Neither we, the buyer, nor the chain can access it. The chain stores a fingerprint. The buyer receives a trained model locked in a sealed capsule. A single transaction pays the seller and unlocks the model simultaneously. No payment without delivery. No delivery without payment. Live on Robinhood Chain testnet. Try it: sirius-data.tech

MPC powered accounts No wallet. No seed phrase. No extension. Your private key is generated as encrypted fragments distributed across a network of nodes and is never assembled in one place. Threshold signatures handle every transaction securely. Sign in, publish a dataset or license one. Same protocol. Same TEE training. Same on chain proofs. The security stays. The friction disappears.

Why does Sirius need a blockchain if the data stays offchain? Because putting private data onchain would defeat the entire point. The chain is the neutral settlement layer: → lock payment → prove settlement → verify identity → record provenance Meanwhile: Data → encrypted & offchain Compute → confidential enclave Settlement → onchain Each layer does one job. No blockchain forced into places where a database works better.