Opendata, web and dolomites


KIProtect: The security layer for data science and artificial intelligence

Total Cost €


EC-Contrib. €






Project "KIProtect" data sheet

The following table provides information about the project.


Organization address
address: SACHSISCHE STR. 26
city: BERLIN
postcode: 10707
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-02-01   to  2019-05-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    7SCIENTISTS GMBH DE (BERLIN) coordinator 50˙000.00


 Project objective

The importance of data science, machine learning and artificial intelligence is increasing rapidly. Concepts like smart home, smart cities, connected car, Internet of Things (IoT) and industry 4.0 all require large amounts of data that need to be collected, stored and analyzed. To remain relevant and competitive, companies and public organizations alike need to follow this trend. However, the data they want to use and analyze is often sensitive, and protecting it is a difficult challenge.

KIProtect solves this challenge with an entirely new, innovative approach for data security and data protection that is specifically tailored to big data and artificial intelligence: We provide a novel data pseudonymization approach based on modern cryptographic and statistical data transformation methods. This allows our customers to easily work with and share sensitive data while ensuring compliance and security, enabling them to build data-driven business processes on top of secure data streams. Our technology is currently being tested in several proof of concept (PoC) projects and demonstrably works. It is unique in that it can reliably protect high-dimensional data (e.g. images or time series) while retaining most of the data utility. We therefore have a strong USP and are currently pursuing patent protection for our core algorithm as well, which will grant us a very strong position in the large and fast-growing data security market. We plan to use the H2020 funding to prove the applicability of our approach for specific industries and to develop PoC solutions that enable companies to build secure and robust data processing systems for specific use cases. We have realized a first prototype implementation of our methods as an API and are already working with our first pilot customers to validate our business plan. The European data security market has a volume of more than 1 BN € and grows at 15 % per year. We are confident that we can become a technology leader in it.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "KIPROTECT" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "KIPROTECT" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

Dyme (2019)

Dyme gives its users complete control over their financial situation. The Dyme application provides insight into users’ spending and subscriptions, and lets users cancel, negotiate, or switch any cont

Read More  

Cancersensing (2019)

A multi-cancer screening platform for fast and accurate early stage cancer detection from urine samples

Read More  


Automated, Fast Generation of High-Performance Instruction Set Simulators for Microprocessors

Read More