Christian Neumann

PRINCIPAL
focus areas:
Energy
INDUSTRIAL
Software Infrastructure
AI & ML
Vertical Applied AI
about:

I earned a double degree in Strategic Management and Technology Management from WU and Bocconi, which fueled my early interest in startups and technology. My career has spanned the entire startup lifecycle, from pre-seed stages to unicorn status, giving me a profound insight into the dynamics of scaling high-impact ventures. I joined Razor Group during their most significant growth phase, where I witnessed the company become a unicorn in just 15 months; one of the fastest trajectories in European startup history.

Subsequently, I joined First Momentum Ventures, where I am the longest-standing team member aside from the partners. Here, I'm most excited about engaging with some of Europe's most ambitious tech founders from the onset of their journeys, observing their unwavering passion as they transform their visions into tangible realities. My deep interest in technology software and hardware, particularly their synergy, has made me an engineer at heart, if not by degree. This unique perspective enhances my ability to support and understand the multifaceted needs of the startups we invest in.

focus areas:
Energy
INDUSTRIAL
Software Infrastructure
AI & ML
Vertical Applied AI
email:

Start up wish list

  • Deeply technical startups at the intersection of software and hardware: From robotics and industrial automation to energy management, data center infrastructure, edge computing, and vertical B2B software for highly specialized industries. As AI commoditizes generic software, we believe the strongest moats will come from what it cannot easily replicate: deep domain expertise, hard-won certifications, proprietary data, and trusted industry networks.
  • Infrastructure for the AI-generated software era: As GenAI dramatically increases the volume and complexity of code, we want to back startups building the infrastructure required to keep software performant, maintainable, secure, and resource-efficient across cloud, edge, and embedded environments.
  • A new generation of greenfield and brownfield manufacturing companies: We are looking for manufacturers using new technologies to produce critical components faster, more precisely, and more efficiently. Areas of interest include additive manufacturing, advanced materials, distributed and on-demand production, power electronics, magnets, and precision engineering. As AI lowers the cost of design and process optimization, we want to back the teams translating those gains into physical products and resilient, reshored industrial capacity.