Daniel Dippold

CO-FOUNDER & CEO
EWOR Partner
ROLE AT EWOR
Co-Founder & CEO
Daniel Dippold started EWOR in 2020 as a side project. He focussed on EWOR full-time in 2022 and (un)successfully led the company through 7 pivots. He is most proud of having built a team of which ~40% of full-time members have created companies worth >€100M and leading the company in a consistent, highly number-driven fashion. 

"I have started EWOR because I believe entrepreneurs are the group of people with the single biggest impact on the world. I have initially started EWOR to bring entrepreneurship to everyone and rolled out massive online content to teach anyone to build a company. However, I have noticed that those who truly change the world are few and odd. No trillion-dollar company founder is normal. EWOR is for those who are not normal. No matter where they are based or what their upbringing was - we find them and support them in changing the world.”
BACKGROUND INFO
Daniel's Journey

Daniel studied theoretical maths & ML, raised $100M before his twenties and created (and sold) companies worth hundreds of millions. He invested in 50 companies as an angel investor (7 unicorns) and is an LP in roughly 10 funds.

As the CTO and co-founder of New Now Group, Daniel co-founded with and built a leadership team consisting of the former CMO of Motorola, CFO of Procter & Gamble DACH, and President of Xerox and founder of a 250-people agency (exited). New Now's clients include companies like E.ON, Deutsche Bank, Postbank, WMF, and Philips. As CTO, Daniel hired a team of exceptional engineers, invented a time-series elasticity model for dynamic pricing, and eventually oversaw the development of software that helps customers all over the world to control and interact with their deployed AI.

In addition, Daniel established the Sigma Squared Society e.V. and served as its Founding President from 2016-2022 and as the Chairman of the Supervisory Board from then on. Sigma unites the world’s most extraordinary entrepreneurs under 26, with eleven members having built unicorn companies. The Society operates globally with over 150 directors across 30 countries and their entrepreneurs have collectively raised over €3 billion. Daniel was part of personally onboarding and selecting the first 400 Fellows and over 100 directors across 5 continents and 7 layers of hierarchy.

Daniel also founded and sold Unlimitix as CTO/CEO, aimed at making coaching accessible to those who cannot afford a traditional coach through "empathic LLMs". Unlimitix raised a small €400K  pre-seed found and was sold shortly after. 

His academic credentials include studying at the University of Cambridge, the Hong Kong University of Science and Technology, ETH Zurich, and the University of St. Gallen, where he consistently ranked in the 99th percentile and even achieved a highest-ever measured GPA. During his Master's Degree and PhD at University at Cambridge, Daniel already developed a passion for ML-based outlier founder detection. He also holds a Micro-Masters degree in Artificial Intelligence from Columbia University.

Daniel trained the Jiangsu Olympic Math team, wrote a book focused on the scientific principles behind productivity - endorsed by BBC, gave his first TED Talk at the age of 20 and was recognised by Forbes, the World Economic Forum, Global Startup Awards, and Top Talents U25 for his early achievements.

Current Roles
Co-Founder & Chief Executive Officer
2020–present
EWOR
Chairman of the Supervisory Board
Sigma Squared Society e.V.
Angel Investor
2020–present
50 startup investments, 7 unicorns
Ventures Founded
New Now Group
Co-founder & CTO
active, fast-growing and profitable
Unlimitix
Co-founder & CTO/CEO
sold to Aspect
Investment Experience
50+ angel investments including magic.dev (~€3B, first check in),
peaq (~€3.5B, first round),
Varda (~€500m),
Auradine (~€1B),
Rhoda AI (~€1B),
you.com (~€1.5B),
Apex Space (~€1B)
and many more (unicorn hit rate > 10%)
GP @ Accumulator II (35 unicorns), LP @ KXVC, Firedrop, 10X Founders, Voyagers I & II, and a couple more
Education
ML PhD / Master’s Degree,
University of Cambridge
Theoretical Math
ETH Zurich
Computer Science
Hong Kong University of Science and Technology
Business
University of St. Gallen
Industries
Industries
Artificial Intelligence
Business Models
Research Companies, SaaS
Experiences/Skills
AI/ML, backend infra, hiring & retaining superstar teams, OKRs, fundraising

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