Every person has a different personality and a different way of expressing themselves. In every moment of our lives, word choice and the manner of speaking influence our way of thinking and our communicational behaviour and, consequently, all areas of our lives.
PRECIRE® is a technology, which – with the help of artificial intelligence – identifies patterns in spoken and written language and derives linguistic, psychological and communication-related features from them. In addition to Natural Language Processing procedures, specific text patterns (combinations of words, word order, sentence structures) are being captured in this process. With the help of these patterns and on the basis of high quality reference data sets, objective predictive models are trained. These predictions are then processed by way of aggregation. They provide high, measureable added value in various business areas (HR, CX, e-health …).
The scientific foundation of PRECIRE® is the core of the technology: Numerous validation studies (internal and external) secure the process. Our Scientific Advisory Board actively supports and promotes the development of the technology.
PRECIRE® groups speech samples with different characteristics, e.g. all persons showing certain patterns or certain types of communicative effectiveness. In this way it is detected which speech patterns are typical for certain groups. Subsequently, typical speech patterns for different groups are detected. This is followed by the conduction of high-dimensional similarity comparisons and predictions about which of these groups a newly characterised, unknown person resembles the most.
The reference data sets consist of spoken speech (e.g. interviews, calls) and written texts (e.g. e-mails, chats) and contain a number of external criteria (e.g. KPIs) and additional information. The development core of PRECIRE® uses machine learning and data mining algorithms in order to detect connections in the selected data. These patterns serve the modelling modules as a basis for analyses and predictions.
Scientific Advisory Board
Outstanding science partners from different disciplines enrich and ensure the quality of our development work . They help us to continuously develop the possibilities of PRECIRE®, further support our research and provide excellent discussion forums around the origin and future of our technology.
Prof. Dr. Thomas Wölfl
Professorship Data Science, OTH Regensburg
Dipl.-Psych. Rainer Bäcker
Partner at ifp Management Diagnostics and DIN-committee of standardisation for suitability diagnostics
Prof. Dr. Phil.-Psych. Siegfried Gauggel
Professorship Medical Psychology and Medical Sociology, RWTH Aachen
Prof. Dr. Marion Büttgen
Professorship Business Management, University of Hohenheim
Prof. Dr. rer. nat. Thomas Seidl
Professorship Database Systems, Ludwig-Maximilians-University Munich
Prof. Dr. phil. Klaus Stulle
Professorship Phsycological Diagnostics, University Fresenius
Catholic priest and author
New technologies like PRECIRE® create opportunities to commission digital applications to the people. They serve the people when they are developed with good moral intentions and when in turn their application is based on the same good intentions. This implies a positive idea of man and a deep understanding and respect for legal, ethical, and cultural rules of social coexistence.
As a company, PRECIRE Technologies serves the people and enriches the economy. The company takes full responsibility for all ethical and legal dimensions of its actions.
Christoph Stender, priest, author and member of the Scientific Advisory Board
PRECIRE Technologies GmbH
Charlottenburger Allee 40
PRECIRE Technologies US
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Seattle, WA 9810