CDR is now live on our testnet, enabling the safe transfer of private data.
This milestone unlocks plenty of use cases, including:
1. Private on-chain data
2. Data marketplaces
3. Purchasing outputs of AI without ever revealing input data
Start building ↓
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The DATA Foundation@datafdn
The next wave of AI depends on data that can’t be exposed.
Now with Confidential Data Rails (CDR), that constraint disappears.
▸ Data stays encrypted
▸ Access is defined upfront
▸ Secure pre-conditions held for decryption
Live now on testnet.
The next wave of AI depends on data that can’t be exposed.
Now with Confidential Data Rails (CDR), that constraint disappears.
▸ Data stays encrypted
▸ Access is defined upfront
▸ Secure pre-conditions held for decryption
Live now on testnet.
A bigger stack for what we're building.
With DATA moving to Sui, builders will be able to tap into provenance, storage, access control, and rights-cleared AI data across one ecosystem.
Lots more to build from here.
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The DATA Foundation@datafdn
DATA is coming to @SuiNetwork.
The DATA Network and Trace are joining the Sui stack, bringing a live supply of rights-cleared AI training data to infrastructure built for AI workloads.
With 250M+ receipts already recorded by Trace, AI labs will be able to source real-world data with verifiable provenance, while @WalrusProtocol provides the underlying storage layer.
Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, founder of the DATA Network and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.
In the coming months:
▸ The DATA Network will be upgraded to run as a protocol natively on Sui
▸ Walrus becomes the default storage layer for DATA Foundation apps
▸ $DATA remains the token of the DATA protocol
The next chapter of DATA starts here.
DATA is coming to @SuiNetwork.
The DATA Network and Trace are joining the Sui stack, bringing a live supply of rights-cleared AI training data to infrastructure built for AI workloads.
With 250M+ receipts already recorded by Trace, AI labs will be able to source real-world data with verifiable provenance, while @WalrusProtocol provides the underlying storage layer.
Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, founder of the DATA Network and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.
In the coming months:
▸ The DATA Network will be upgraded to run as a protocol natively on Sui
▸ Walrus becomes the default storage layer for DATA Foundation apps
▸ $DATA remains the token of the DATA protocol
The next chapter of DATA starts here.
RT @datafdn: Today, @coinbase is migrating $IP to $DATA.
▸ $IP trading on Coinbase paused Oct 5
▸ Conversion runs Oct 5 – 7
▸ $DATA trading opens on Coinbase once migration is done Oct 7
Please hold on deposits or transfers on $IP to Coinbase until then.
Status updates ↓
RT @datafdn: The definition of "rare data" is in flux.
Online content ≠ rare (it's been scraped)
Technical datasets ≠ rare (again, scraped)
Trustworthy human data = rare (can't be scraped)
Proving that rarity is now critical.
@jacobmtucker breaks down how receipts work on Trace ↓
RT @jacobmtucker: The @datafdn has onboarded 87.5M records from data collection apps like @useKled
I believe that every single company in the future will have a data monetization arm even if they aren't intentionally in this space
When they go to sell that data, frontier labs will look for an audit report covering the dataset
Did data contributors KYC, were they paid, etc
This is exactly what we're building with Trace, the public AI audit ledger
... and every single data registration is a transaction on the $DATA Network
We're currently sitting at #18 overall by chain fees,
RT @datafdn: For years, every voice AI conversation passed through text.
Speech ▸ text ▸ model ▸ back to speech.
Now, speech models cut the middleman, with far more realistic results. But while the architecture has made leaps, one bottleneck remains: data.
Enter: @otodotearth x @psdnai
Remaining winners below – tap in to see more from these builders:
▸ Technical Track Winner
└ CDR Kit by @Chain_Oracle
▸ App Track Winner
└ Sigmax by @AbdoViper23
Seneca (Story v1.8.0) is Live
The Story Mainnet has successfully upgraded to v1.8.0, and the network is healthy. If you're still on an older version, upgrade your mainnet node immediately.
Read More ↴
RT @jacobmtucker: Love seeing hackathon participants demoing their projects live and gathering feedback from peers 👏
And with some delicious food too!
Incredible job @nythera_vault
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Nythera@nythera_vault
Demo Day takeaway
The problem is bigger than crypto. Even Web2 users agreed with the vision
Back to building!
