We specialize is MLOps and Generative AI
Our approach relies on a deep understanding of problems in a company by analyzing domain knowledge, available data, and constraints.
We focus on translating problems at hand to AI-readable problems and we propose solutions (models/methods).
Are you not sure whether your problem is appropriate for applying AI? We can carry out feasibility studies and/or provide proof-of-concept studies and Minimum Variable Products. For this purpose, we utilize Python and ML/AI libraries available in Python (e.g., sci-kit learn, PyTorch, among others).
Are you interested in bringing your ideas into the market? We can take care of MLOps: from development to staging, and finally to production!
Check out our services and do not hesitate to contact us!
The founder of the company is Jakub M. Tomczak.
He is an associate professor at the Eindhoven University of Technology (TU/e). Before joining the TU/e, he was an assistant professor at Vrije Universiteit Amsterdam. Formerly, he was a deep learning researcher (Engineer, Staff) in Qualcomm AI Research in Amsterdam, a Marie Sklodowska-Curie individual fellow in Prof. Max Welling's group at the University of Amsterdam, and an assistant professor and postdoc at the Wroclaw University of Technology. His main research interests include deep generative modeling, deep learning, and Bayesian inference, with applications to image processing, Life Sciences and Molecular Sciences. He is the author of the book entitled "Deep Generative Modeling", the first comprehensive book on Generative AI. He has broad experience in consulting companies in computer vision, logistics, banking, Life Sciences and Molecular Sciences. He has over 12 years of experience working in academia and over 3 years working in and for the industry.