Constructor Capital, the Swiss venture arm of the Constructor Group ecosystem, has closed its first fund at $110 million to invest in seed and Series A startups across deeptech, software, and edtech.
The fund follows a science-focused approach to sourcing, due diligence, and company support, drawing on a network of more than 50 universities and a broad base of academic researchers. This enables Constructor Capital to assess complex technical research and support companies with advanced scientific and technological foundations that may be underserved by traditional venture capital.
Operating within the broader Constructor Group, Constructor Capital is embedded in a global ecosystem that includes Constructor University, research laboratories, an equity-free accelerator programme, and platforms supporting research and applied innovation. This structure allows the firm to integrate scientific expertise directly into its investment process and support portfolio companies as they transition from laboratory environments to commercial markets.
Commenting on the approach, Matthias Winter, Managing Partner at Constructor Capital, said that research institutions are producing technologies with significant future impact that often receive limited attention from venture capital. He added that the fund aims to bridge this gap by supporting companies as they move from lab to market, balancing academic insight with operational execution.
The fund’s investment focus spans deeptech, software, and edtech. Constructor Capital plans to lead and co-lead seed and Series A investments, with typical investment sizes ranging from $1 million to $10 million, select investments of up to $15 million, and capital reserved for follow-on rounds. The fund invests globally, including in Europe, the US, the UAE, and Singapore.
The portfolio already includes science-led companies operating at the forefront of advanced computing and systems, including QuEra Computing, which develops neutral-atom quantum computers, Lumai, focused on 3D optical computing architectures for more efficient AI inference, as well as AI infrastructure provider GCore, ERP platform Osome, and augmented reality company VitreaLab.
Would you like to write the first comment?
Login to post comments