Sofinnova Partners, a leading European venture capital firm specializing in life sciences, has announced it has raised €1.2 billion across its investment strategies over the past year. The Paris-based firm secured more than €1 billion of this amount in the last quarter alone, bringing its total assets under management to over €4 billion.
This milestone represents a significant achievement for the firm, which has doubled its assets under management in the last five years. With operations in Paris, London, and Milan, Sofinnova has established itself as a major backer of healthcare and sustainability innovation across Europe.
“All seven of Sofinnova’s investment strategies—from incubation to later-stage growth, spanning biotech, medtech, industrial biotech and digital medicine—have capital to back the next generation of life sciences companies,” said Antoine Papiernik, Chairman and Managing Partner of Sofinnova Partners. “With the new funds, we anticipate supporting 50 to 60 new companies, empowering a new wave of entrepreneurs tackling some of the world’s most pressing health and sustainability challenges.”
The latest fundraising has attracted commitments from a diverse range of investors, including institutional investors, sovereign wealth funds, corporates, and family offices. According to the firm, this reflects strong investor confidence in Sofinnova’s approach to identifying and developing high-potential opportunities in the life sciences sector.
Over the past decade, Sofinnova has built a team of more than 80 professionals, including 25 investment partners with deep sector expertise. The international team spans 24 nationalities across three European offices, with presence in key innovation hubs worldwide.
Alongside its expanding team, Sofinnova has embraced technology to enhance its investment approach. The firm recently launched an AI-powered platform called Sofinnova.ai, which has been developed over the last five years. This platform aims to transform how the firm sources, analyzes, invests in, and supports science and entrepreneurs by leveraging advanced data analytics and machine learning.
