Who we are

We are core64, a group of experienced, hands-on Data & AI/ML practitioners.

What sets us apart:

  • Human × Technology – We design solutions that amplifies your people rather than replaces them, embedding human-in-the-loop touchpoints at every critical decision. Intuitive interfaces keep employees in control while the model handles the repetitive grind.

  • Full-stack AI: from traditional ML to LLMs – We architect everything from classical ML pipelines and vision systems to state-of-the-art fine-tuned language models. Our team’s technology fluency lets us choose the optimal toolset for each business goal.

  • SOTA-driven engineering – PhD-level expertise lets us translate state of the art approaches into production-grade code. Rigorous experimentation meets battle-tested ML- & LLMOps for solutions that work on day one and day one-thousand.

  • Business-first communication – We speak your domain language as comfortably as Python, translating complex algorithms into clear ROI.

Our strength lies in bringing together these varied aspects to deliver grounded, effective AI solutions tailored to real-world challenges.

What we believe in

We believe humans and machines accomplish more when working together, each enhancing the other's capabilities.

Our mission is to help your business combine human creativity with machine intelligence to create practical solutions that enhance efficiency and foster better decision-making.

We connect advanced technology and human insight, bringing together expertise in Data Science, Machine Learning and AI to tackle complex challenges alongside our clients. By working closely together, we help you discover opportunities and achieve sustainable and maintanable results that matter.

Meet the Team

  • [ Alexander HERZOG ]

    Alexander is a PhD candidate in Computer Science at University College London (UCL) and the founder of CORE64 Ltd. With over a decade of experience in Data Science, Machine Learning (ML), and Research & Development (R&D), Alexander brings deep technical expertise and a strategic mindset to solving complex challenges.

    Previously, he worked as a Research Engineer at Toshiba's Bristol Research & Innovation Lab (BRIL), where he contributed to cutting-edge AI initiatives across finance, social networks, and cybersecurity. His work spans AI research, rapid prototyping, and the development of proof-of-concept systems. Alexander is also the holder of a patent in communication-efficient federated learning and has published his research in top-tier academic journals.

  • [ Arian KRUMBACH ]

    Arian is a senior consultant in Automation & AI Engineering, designing and delivering AI-based systems. During eight years in consulting, he has steered large and mid-sized enterprises across various industries, such as Telecommunications, Logistics and Finance, through Automation and AI initiatives. He has served both as a hands-on technologist and in various team lead roles.

    His edge is the ability to marry applied, technical expertise to design, develop and scale enterprise-ready AI systems with sharp business and project-management skills. Beyond consulting, he was involved in the founding phase of a fintech start-up and has provided data-driven due-diligence services to private-equity investors. Arian holds both a bachelor’s and a master’s degree in Business Administration from the University of Cologne.

  • [ Stephan BREIMANN ]

    Stephan holds a joint PhD degree in Computational Biology from the Technical University of Munich (TUM) and the German Center for Neurodegenerative Diseases (DZNE). With a unique interdisciplinary background spanning molecular biotechnology, computer science, and philosophy, Stephan bridges the gap between wet-lab science and advanced computational techniques.

    As the founder of Breimann Analytics, an IT consulting firm, Stephan brings over 8 years of experience in software development, data science, and machine learning. Their work focuses on developing innovative proof-of-concept solutions for research groups, with a particular emphasis on Alzheimer’s disease and neurodegenerative research. This cross-domain expertise allows them to translate complex biological problems into scalable computational tools.

  • [ Mie EUSEBI ]

    Mie is a computational designer, architect, and emerging technologist whose work fuses artistic creativity with cutting-edge digital practices. She holds a Master’s degree in Design for Performance and Interaction from the Bartlett School of Architecture at UCL in London, and a BEng in Computational Architecture from Xi’an Jiaotong-Liverpool University in Suzhou, China.

    Her interests lie in developing programming techniques and multimedia technologies to interpret the intricate dynamics of human behavior, social structures, and natural environments. Currently, Mie works as a Creative Technologist and Pointcloud Artist at ScanLAB Projects in London, where she pioneers innovative forms of spatial storytelling and digital interaction.

  • [ Tobias WAGNER ]

    Tobias is an experienced entrepreneur and a partner at core64. In the past, he gained experience in strategy consulting advising German Mittelstand and tech companies, private equity, and scaling a software R&D company where he was the right-hand man of the Managing Director and co-founded its venture arm. He also founded his own AI startup, which served enterprise customers with revenues between 100m and 5bn in the DACH region.

    He holds a master's degree from the London School of Economics (LSE) and a bachelor's degree from the University of Munich (LMU).

Ready to work with us?