The most valuable data is private data — using it can improve research and business outcomes. But concerns over privacy and control make it hard to access. With Compute-to-Data, private data isn’t directly shared but rather specific access to it is granted.
It can be used for data sharing in science or technology contexts, or in marketplaces for selling private data while preserving privacy, as an opportunity for companies to monetize their data assets.
Private data can help research, leading to life-altering innovations in science and technology. For example, more data improves the predictive accuracy of modern Artificial Intelligence (AI) models. Private data is often considered the most valuable data because it’s so hard to get at, and using it can lead to potentially big payoffs.
Data owners retain control of their data, since the data never leaves the premises.
Data owners can share or sell data without having to move the data, which is ideal for very large datasets that are slow or expensive to move.
European data protection regulations (GDPR) require sensitive data to stay on European soil. C2D makes that easy, since data stays on-prem.
How It Works
Data owners approve AI algorithms to run on their data. Compute-to-Data orchestrates remote computation and execution on data to train AI models, while preserving the privacy of the data.
Private data aids in research, leading to life-altering innovations in business, science and technology. For example, more data improves the predictive accuracy of modern AI models.
- New Data NFTs and datatokens
On-ramp and off-ramp for data assets into DeFi
Data Marketplaces with Blockchain Superpowers
Buy & Sell Private Data, While Preserving Privacy
- Data Science
More Data, Provenance, and Earning Opportunities
- Fine-Grained Permissions
Fine-Grained Permissions Using Role-Based Access Control