Open AI for Healthcare

Federated Learning, Automatic Data Harmonization, Quality Control: with three patent-pending technologies AICURA Platform enables the lifecycle management of data sets and machine learning models for the health industry across heterogenous data silos. Opening the way to the development of several breakthrough AI innovations.

The AICURA Platform that brings AI innovations into healthcare's value chain.

AICURA Platform
AICURA OS

AICURA OS

Federated Learning

Federated Learning

Allows for data to be used without data leaving the site. It’s an ML setup that trains an algorithm over several decentralized devices. 

Data Harmonization

Data Harmonization

Automatically translates different data structures into one through uniform formats and units. Thus, multimodal data can be used for the development of algorithms.

Quality Control

Quality Control

Automates the process of checking if data sets are appropriate for given data models. Best premise for innovative algorithms. 

AICURA IDE

AICURA IDE

Developers’ island. Allows the development of component-based applications using real hospital data at a fraction of the time and cost. Developers can focus on developing their algorithms while AICURA IDE takes care of everything else.

AICURA App Repository

AICURA App Repository

A window to innovations in the healthcare industry. Integrates apps into the healthcare institutions’ setting with just a few clicks. Most efficient way to bring an app to market or into internal value/supply chains.