In a new exciting venture, Solenix recently shared its strong AI experience with Wella, to help the company with its research and development work.

Specifically, the project aimed to assess the benefits and limitations of using artificial intelligence in hair R&D.

For this purpose, Solenix produced two prototypes: 

The European Central Bank (ECB) periodically collects data from European banks for supervisory purposes. To complement the ECB’s quality assurance and assessment tasks, Solenix has participated in a project with the aim of improving the plausibility checks performed by the ECB with Machine Learning (ML).

During the project a prototype was developed. With this prototype the ECB can:

As a spin-off of the European Space Operations Centre’s (ESOC) innovation cup, Solenix developed a technical requirements analysis tool for the European Space Agency (ESA). This tool, the Technical Requirements Ambiguity Checker (TRAC), analyses requirements documents for the use of ambiguous wording according to pre-defined keywords. The quality of technical requirements is defined by their clarity and completeness.

In spring 2020, Solenix concluded a project for the European Space Research and Technology Centre (ESTEC) of the European Space Agency (ESA). In this activity, our Software Engineering Division expanded WebMUST, a Web-based client to explore and display spacecraft housekeeping telemetry, with a new module to demonstrate the use of vectors derived from the stored data. This module includes the following features: