Imagine you have a massive library of books, but instead of carrying all those heavy books to your desk to study them, you send a tiny, smart robot to the library to do the reading for you. This system does that with digital data, sending the analysis tool to where the data lives. It saves time and keeps the original information secure because the data never leaves its home.
Moving massive datasets to processing algorithms is slow, expensive, and creates security risks. Current open data systems provide access but do not optimize the actual processing efficiency.
A decentralized network of certified nodes, the RAI Cloud platform for orchestration, a unique Research Analysis Identifier (RAI), and a synthetic data generator.
If you are a data audit firm dealing with the risk of leaking sensitive client information during analysis — this project developed the Research Analysis Identifier (RAI) that provides evidence-based authentication of analysis without revealing raw data.
If you are an infrastructure provider dealing with high bandwidth costs from moving massive datasets — this project developed a crowdsourced network of certified nodes that brings the processing algorithm to the data.
If you are an R&D lab dealing with slow time-to-result when processing large scientific datasets — this project developed the RAI Cloud platform that orchestrates data sharing and processing to increase productivity.
Based on available project data, the pricing model is not specified; the project focuses on establishing the infrastructure and a crowdsourced network.
Yes, the project uses a crowdsourcing concept to increase processing capacity by allowing users to integrate their own computers into the workflow.
The system is designed to provide a unique identifier for results and processing scripts without disclosing the source code or raw data.
RAISE integrates by bringing the processing algorithm to the dataset repository, adhering to FAIR principles for interoperability.
The project period runs from 2022-10-01 to 2026-01-31.
The consortium is well-balanced for commercialization, featuring 21 partners across 11 countries. With an industry ratio of 43% and 8 SMEs involved, there is a strong bridge between the 8 universities and the commercial market, suggesting the technology is being developed with practical business application in mind.
Contact ARISTOTELIO PANEPISTIMIO THESSALONIKIS in Greece
Contact us to explore licensing the RAI identifier system for your data workflows.
