Exaia delivers AI-powered Software-as-a-Service (SaaS) solutions, anchored in scientific rigor and engineered to empower data-driven decision-making in high-stakes domains. In sectors like healthcare and education, where decisions significantly affect individuals' lives, the deployment of trustworthy and explainable AI is is not just beneficial but imperative, ensuring optimal outcomes and safeguarding against potential risks.Why Exaia? Human-Centric and Explainable AI (HC-XAI) is not a buzzword to us. -it’s ingrained in our DNA. We leverage more than 10 years of multidisciplinary scientific research dedicated to the development of HC-XAI for real-world applications. Our technology is backed by 50+ peer-reviewed scientific research publications, with our advanced ML models consistently demonstrating outstanding performance on benchmark datasets and in international competitions. https://exaia-tech.com/researchOur Solutions: CYMO: AI-Powered Next-Generation Data Mining and Analytics Tool and METIS: AI-Powered Predictive Analytics Suite, including expert ML models for verbal deception detection, sentiment analysis, personality trait detection, CEFR-level language proficiency assessment, Alzheimer’s dementia detection from spontaneous speech, mental health prediction through social media mining and more ...Our current mission and the first vertical we aim to tackle? Transforming precision medicine for neurodegenerative and psychiatric disorders through NLP-derived digital biomarkers and machine learning. The digital biomarker-based approach supports a technology-enabled model of healthcare delivery, empowering individuals and healthcare providers with dynamic, personalized insights into brain, cognitive and emotional health. Exaia's solutions cater to diverse stakeholders by enabling early detection, augmenting clinical assessments, conducting large-scale screening, streamlining triage processes and ensuring continuous symptom monitoring.

I supervise students from RWTH-Aachen and international students from North American universities who want to gain experience in research projects at the interface of Natural Language Processing, Machine Learning, Computational Social Science, and Computational Psychology.

Financial support for the project: ERS Seed Fund Project (OPEN Seed Fund Call 2019) – funded by the Federal Ministry of Education and Research (BMBF) and the Ministry of Culture and Science of the State of North Rhine-Westphalia (MKW) within the framework of the Excellence Strategy of the German Federal and State GovernmentsKeywords: Automatic speech recognition, Automatic text analytics, Speech fluency, Predictive modeling, Explainable AI

Keywords: Adaptive Learning System, Individualized Language Learning, Natural Language Processing, Computational Linguistics