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.