Our Team

It’s (also) all about team-work. The three of us, Stavros, Vassilis and Nassos,  we know each other for more than a decade. We have worked together in between either during our PhDs and/or as post-doctoral researchers, or for product development. We have more than 10 years of working and research experience in either EU, Greek national, US funded projects, and more than 70 publications in peer reviewed scientific international journals and top research conferences, where we also offer our services as peer reviewers.  We had partners in research projects across several universities, and institutions. We consider the chemistry between all team members  to be a natural ingredient that composes  an inspiring collaborative working environment; this is the vehicle for succesfull work in both industrial and scientific challenging frameworks.


Founder, CEO

PhD (NTUA, 2014) in machine learning and computer vision. Served as research assistant in various EU projects (FP6/7, H2020). Strong research and working experience in a variety of applications in the areas of speech recognition, natural language processing, recommender systems and computer vision, applying state-of-the-art machine learning technologies. Interests in artificial intelligence: machine learning, deep learning, signal processing and reinforcement learning.


Founder & Senior Research Engineer

PhD (NTUA, 2007) in signal processing and automatic speech recognition. Served as post-doctoral research associate with long experience in EU research projects (FP6/7, H2020). Interests and work span a variety of artificial intelligence, human-computer interaction and data analytics areas, especially targeting machine learning. Indicative applications include multimodal gesture and action recognition, multimodal fusion, language processing and automatic sign language recognition.


Senior Research Engineer

PhD (Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2015) in the field of causal inference and machine learning, developing methods for inferring causal relations from observational data. Worked as a research assistant at the Computational Biomedicine Lab of the University of Houston in collaboration with Siemens Corporate Research. Research scientist at Signal Ocean, involved in truth discovery and time series analysis projects applied to data from the shipping domain.


Senior Machine Learning Engineer

PhD (University of Edinburgh, 2018) in Computational Neuroscience & Neuroinformatics. Focus on signal processing and machine learning algorithms for neurorehabilitation. Served as post-doctoral Research Associate at Newcastle University (2018-2020) and University of Edinburgh (2017-2018), as well as Research Assistant at Southampton University (2012). Research experience includes areas such as upper-limb prosthetics, brain machine interfaces, audio signal processing and cryptography. Strong interest in machine learning, robotics and biomedical applications.


Senior Software Engineer

MSc (University of Edinburgh, 2007) in Informatics. Software engineering experience in various countries, industries and roles. Graduate developer at Ericsson UK, JEE developer at JPMorgan, London, senior SW eng. at Velti and Atypon, Greece, backend developer and data scientist at King, Spain. Specialized in JVM languages and agile development, building high volume and mission critical systems. Interests in functional, domain driven design, big data and machine learning.


Machine Learning Engineer

MSc (University of Edinburgh, 2019) in Artificial Intelligence. Masters dissertation on Spatio-Temporal Forecasting with Convolutional LSTM architectures. Background in Mathematics and Physics (joint honours BSc) from the University of Glasgow. ICML 2019  generalization workshop paper on adversarial examples titled “An Empirical Evaluation of Adversarial Robustness under Transfer Learning”. Highly interested in computer vision, natural language processing and deep learning and aspires to build upon and apply knowledge in both modern machine learning techniques and traditional statistics.


Machine Learning Engineer

MSc (University of Southampton, 2015) in Artificial Intelligence with Thesis “fraud and intrusion detection using ensemble learning methods”, BEng (University of Patras) in Computer Engineering and Informatics. Working experience as Big Data Engineer Consultant at HSBC, London, as Data Scientist Consultant at Adidas HQ, Nuremberg and as Data Scientist/Engineer at MarineTraffic, Athens. Specialized in Machine Learning, Software Engineering and Big Data Infrastructures.


Machine Learning Engineer

Electrical & Computer Engineering degree, Aristotle University of Thessaloniki. Diploma thesis in Computer Vision and Pattern Recognition. Specialized in Computer Vision, Machine Learning and Software Engineering. Research and working experience as a member of University Research Teams, Fieldscale Electromagnetic Simulations company and personal projects. Highly interested in Artificial Intelligence, Computer Vision, Investing & Algorithmic Trading.


Machine Learning Researcher

MSc (Technical University of Crete, Chania, Greece, 2012) in “Convex Optimization Methods for Machine Learning” and PhD candidate (expected to graduate in 2019) in the field of “Statistical Learning Theory” with PhD dissertation title “On Clustering, Classification and Dictionary Learning: A theoretical revisit of robust k-means, nearest neighbor classification, and dictionary learning with Moreau envelopes”. The research focuses primarily upon statistical aspects of pattern recognition, and to a lesser extent, clustering. Highly interested in statistics, machine learning, and non-linear optimization.


HR & Office Administrator

Ba Hons (Manchester Metropolitan University,  2017) International Business & Marketing. Dissertation in “Developing a Digital Business”. Work experience in Marketing & Business Administration for companies in Greece and the UK. Business Administration Research Assistant (Manchester Metropolitan University, 2016) supporting Ph.D students in research,  surveys and analysing data. Organically growing a career experience in the digital solutions market and the management of niche firms.


ML Engineer, NTUA Research Intern

Electrical & Computer Engineering 5-year degree (NTUA, 2017). Master thesis was about segmentation and classification of fine-grained actions in videos. Nikos has also worked for 1.5 year as an Artificial Intelligence engineer in METIS Cybertechnology, developing Natural Language Processing systems for a commercial chatbot. Interested in fusion of both visual and linguistic cues for rich multimodal representation, perception and understanding.



PhD (NTUA, 2008) in speech processing and recognition. Post-doctoral research in various European, U.S., and Greek research projects in data analytics and machine learning. His work has been published in international journals and conferences and has received more than 900 citations (h-index: 18, Google Scholar). Research interests lie in the recognition and interpretation of human behavior based on multimodal observations and artificial intelligence algorithms, namely behavioral informatics.