The new era of data sharing technology
Experience Acentrik’s award-winning features.
Computation at source across data in silos
Introducing Acentrik’s privacy-preserving approach – Compute-to-Data.
It enables the platform to connect directly to the data source, perform the necessary computations, and only the insights – not the data itself – travel back to the user.
With Acentrik, data stays within the Owner’s environment for computation
Data providers retain data control.
Data consumers get access to only the output file.
Extension of privacy-preserving compute: Federated Learning
By aggregating results from multiple siloed datasets, this approach supports the development of more robust and accurate AI models across different regions.
It also reduces data transfer costs, offering a cost-effective solution for comprehensive analysis.
Precise control over data access across three levels:
Platform level
Control and specify participants within your data ecosystem at your instance.
Group level
Restrict data access of assets to specific organization(s).
Data asset level
Specify which users can access and consume your data products.
Simplified user experience
Empower your platform participants with a seamless experience. Onboard data products in three simple steps:
- Prepare endpoint which hosts data product
- Publish your asset by filling in details on asset
- Set your asset permissions
Data monetization opportunities
Start your data journey today
