Fly Ventures

Fly Ventures Management GmbH is a Berlin-based venture capital firm that specializes in early stage investments, particularly in seed and pre-series A companies. Founded in 2016, the firm focuses on the technology sector, emphasizing areas such as automation, machine learning, artificial intelligence, marketplaces, and Software as a Service (SaaS). Fly Ventures aims to support innovative and advanced technology companies that facilitate the digitization and automation processes for large corporations. The firm primarily invests in Europe, typically committing between €0.5 million and €1.3 million, and often prefers to take a majority stake in its portfolio companies. With a team comprised of engineers, product designers, and investors, Fly Ventures is positioned to assist founders in developing technologically advanced businesses with global aspirations.

Fredrik Bergenlid

Partner, CTO

Marie Brayer

Partner

Gabriel Matuschka

Partner

Steven Tran

Operating Partner

Roméo Walter

Associate

Matt Wichrowski

Partner

Past deals in Virtualization

Software Defined Automation

Pre Seed Round in 2021
Developer of a cloud-based open collaboration platform designed to optimize production processes and increase flexibility. The company's platform allows automating re-programming of industrial automation components, virtualizing and abstracting control software from industrial automation hardware and equips manufacturers with the tools to increase flexibility while maintaining deterministic, enabling project management companies to have new degrees of freedom, increased productivity, and improved resilience.

ImVitro

Pre Seed Round in 2020
ImVitro SAS, founded in 2019 and based in Paris, France, specializes in providing advanced in vitro fertilization (IVF) services through its innovative SaaS platform. The company focuses on developing AI-based decision-making tools that enhance IVF imaging and analysis. By utilizing deep learning algorithms, ImVitro analyzes various clinical inputs to identify hidden patterns and predict which embryos have the highest likelihood of successful implantation. This technology aims to help IVF clinics reduce the number of treatment cycles required for patients, ultimately improving the chances of conception and maximizing clinic efficiency.
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