We specialize is fractional AI leadership

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.
A Generative AI Leader with 15+ years of experience in machine learning, deep learning, and Generative AI. Proven track of leading research projects (academic: 50+ AI MSc&PhD, 10+ industrial: Computer Vision, LLMs, Foundation Models, Agentic AI), carrying out cutting-edge research (2 patents & 1 application, 20+ conference papers: NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, ICCV, 25+ journal papers), and securing funds (EUR 2,3M). Experienced in and enjoying managing people (3y in the industry, 8y in academia). Effective team leader encouraging initiative & independence, and facilitating cross-functional collaboration, serving as a (fractional) AI leader (head/director/CTO) for companies (e.g., eBay, Qualcomm) and startups. A Program Chair of NeurIPS 2024 (the largest AI conference so far), and the author of the first fully comphrehensive book on GenAI ("Deep Generative Modeling").