Summary
A German start-up SME is offering a digital Machine Learning collaboration platform to help researchdriven organisations, initiatives and industry in life sciences, chemistry, or advanced materials to increase the success rate of their interdisciplinary projects. The system is able to map in real time the expertise and peers associated with the knowledge generated. The team is looking for outsourcing agreements, or subcontracting e.g. with corporations or large European research consortia.
Description
Working as an international team of 13 staff members and supported by a committee of scientific experts, the young German company has its core competence in software development, and has already successfully raised regional and private investment. It has set the goal to boost cross-linking of science and industrial technology.
They offer an innovative digital machine learning platform, which is able to link information, knowledge and
personal expertise etc. specifically in large work groups, such as European research consortia or internationally active corporates (“MNEs”). It can be also applied e.g. in national or regional research and innovation networks.
With the status quo early research findings are hard to find and to share which often results in the repetition of experiments, delay of research results, and ultimately waste of time and money.
The problem is the so-called "Black Box Science”, by which research-driven organisations and scientific alliances fail to achieve their goals of interdisciplinary collaboration.
In order to break these boundaries, the company`s innovative tool simplifies the documentation, thus makes research findings easier available for research stakeholders from academia and industry.
The user interface of the novel tool is very simple. The novel Machine Learning (NLP) tool takes care of mapping the knowledge and delivers an automatic summary and identification of keywords and topics. The detailed functions of the tool can be presented easily upon request.
The company seeks to present the software tool to corporations, academia, EU research consortia, alliances and communities. A service, i.e. outsourcing agreement, which includes the installation, maintenance, updating and adaption of the tool to specific rights is possible. The company provides tailor-made solutions, and therefore is open for further service models. Subcontracting would be possible, e.g. within public funded research projects.