Overview

Dr. Matthias Standfest is a globally recognized expert in data-centric AI for the real estate domain. With over a decade of groundbreaking work, he has pioneered methods to digitize and transform industry practices. His expertise in floor plan document classification and his contributions to AI methodologies have set new standards in the field.

Professional Background

Dr. Standfest's career is marked by significant achievements and leadership roles:

• CEO & Co-Founder of AI Corporate Startup at Drees & Sommer AG - Developing an AI-based SaaS product strategy for the AEC industries.
• CEO & Founder of Archilyse AG - Innovated a data annotation and enrichement pipeline that revolutionized real estate market analytics.
• Researcher at ETH Zurich - Contributed to multiple international research projects like ESUM and at the Future Cities Lab in Singapore to advance AI methodologies in urban planning.

Key Projects and Contributions

• Swiss Dwellings — A pioneering dataset encompassing 1% of all Swiss dwellings, enhancing AI training and research in architecture.
• Archilyse Codebase — Open-source data refinement pipeline, significantly reducing costs for the real estate industry.
• HouseGAN++ ft. Swiss Dwellings — Workshop at ICCV23 in collaboration with TU Delft, showcasing cutting-edge AI applications.
• ESUM — Study focusing on holistic anthropocentric urban sensing and spatial performance analysis, contributing to advanced AI methodologies.
• Neufert 4.0 — Collaborative project with Bauhaus University Weimar, advancing architectural data science.

Achievements and Vision

Dr. Standfest has directly secured 8-figure funding for cutting-edge projects, demonstrating exceptional capability in project management and innovation. His vision involves establishing a data-centric research paradigm that employs generative AI to transform architectural design and urban planning. By refining data homogenization techniques and implementing augmented AI process patterns, he aims to replace outdated deterministic methods with robust stochastic strategies.

Connect with Dr. Standfest

For inquiries regarding public speaking engagements, AI and data consultancy, or academic research collaborations, please contact Dr. Standfest via email. Explore his contributions on GitHub, connect on LinkedIn, or browse his publications on Google Scholar or ResearchGate. For academic references, you can also refer to his ORCID ID.