Ventures
Comprehensive registry of deep tech startups globally.
TUM School of Management
Deep Tech
Lab
First-of-its-kind data collection and scientific analysis of deep tech ventures worldwide.
Unique Dataset
First-of-Its-Kind Data Collection
Scientific identification of deep tech ventures vs. regular tech ventures through classification using scraped information on technology readiness, scientific novelty, and IP intensity.
Our work is harmonized: a global dataset enabling longitudinal comparisons across geographies and technology contexts.
IP & Patents
Patent portfolios and scientific publications of founding teams.
Founding Teams
Academic and industry backgrounds, multidisciplinary expertise.
Partnerships
Corporate collaborations, development partnerships, and investments.
Financing History
Grants, venture capital, corporate VC, hybrid financing models.
Spin-outs
University and research-institute spin-out identification.
Our Study in a Nutshell
Research Questions
Descriptive Analyses
- Mapping global deep-tech hotspots and their evolution over time.
- Venture founding counts & strength of research institutions.
- Density of corporate partners by industry.
- Identification of industry and technology clusters (quantum, biotech, carbon capture…).
Founding Team Characteristics
- Academic & industry backgrounds.
- Multidisciplinary expertise and seniority.
- Founding team size and complementarities.
Venture Characteristics
- Business model archetypes.
- Time to funding & capital intensity.
- Regulatory exposure analysis.
Success Factors
- Patents and founding-team publication history.
- Role of spin-outs from universities.
- Founding-team composition (scientific/industrial experience, disciplines, tenure).
- Corporate partnerships (development collaborations, corporate investments).
- Funding models / hybrid financing (grants, derisking, VC, corporate VC, infrastructure banks).
The Team
Our Researchers
Prof. Dr. Isabell M. Welpe
Prof. Dr. Isabell M. Welpe is the Chair of Strategy and Organization at the Technical University of Munich. Her research focuses on leadership, the future of work, the impact of digitalization on organizations and companies, and strategic innovation.
welpe@tum.de
PD Dr. Theresa Treffers
PD Dr. Theresa Treffers is a Privatdozentin (associate professor) at the Chair of Strategy and Organization. Her research interests lie at the intersection of business and psychology concepts in the areas of entrepreneurship, start-ups, DEI (Diversity, Equity & Inclusion), as well as strategy and innovation.
theresa.treffers@tum.de
Philipp Lemanczyk
Philipp Lemanczyk is a doctoral candidate at the Chair of Strategy and Organization. His research focuses on Deep Tech entrepreneurship and AI usage in corporate organizations.
philipp.lemanczyk@tum.de
Jannik Nolden
Jannik Nolden is a doctoral candidate at the Chair of Strategy and Organization. His research focuses on deep tech entrepreneurship and startup unicorns.
jannik.nolden@tum.deAffiliations
Academic Partners
Data Sources
Where Our Data Comes From