Chalmers Ventures AB

Chalmers Ventures is a Swedish venture capital firm based in Gothenburg that supports technology-driven companies through coaching, financing and business development. The firm invests across seed, early, and growth stages in Sweden, with programs that include incubation, startup camps and accelerator activities as well as a technology transfer program. It focuses on companies connected to the Gothenburg region and Sweden operating in information technology, communications, new materials, green tech, health tech and biotechnology, and seeks innovative ventures with growth potential. The firm typically makes minority investments and uses a staged funding approach, providing capital through various program phases and through balance sheet investments. It partners with ventures that participate in its programs, helping them advance from explore to scalable stages and achieve commercial success.

Jonas Bergman

Investor

Louise Brudö

Investment Director

Sara Elg

Managing Director

Linda Hedenblom

Seed Investment Manager

Sofia Kocher

Seed Investment Manager

Hakan Krook

Investor

Mattias Münnich

Seed Investment Manager

Pontus Ottosson

Investor

Emma Siljeäng

CFO

David Storek

Venture Creation Manager and Pre-seed Investment Director

Oskar Svarfvar

Seed Investment Manager

Sara Wallin

Investor

Björn Westman

Investment Director

Fredrik Örneblad

Seed Investment Manager

Fredrik Örneblad

Seed Investment Manager

Past deals in Simulation

Repli5

Seed Round in 2024
Repli5 develops a synthetic data generation platform that trains computer vision models using generative AI to produce augmented camera data, resolution task maps, and realistic textures. The platform enables automotive, robotics, and defense sectors to improve perception systems while reducing reliance on large real-world datasets and lowering training costs, thereby accelerating the development of autonomous vehicles.

Repli5

Seed Round in 2024
Repli5 develops a synthetic data generation platform that trains computer vision models using generative AI to produce augmented camera data, resolution task maps, and realistic textures. The platform enables automotive, robotics, and defense sectors to improve perception systems while reducing reliance on large real-world datasets and lowering training costs, thereby accelerating the development of autonomous vehicles.

Repli5

Seed Round in 2022
Repli5 develops a synthetic data generation platform that trains computer vision models using generative AI to produce augmented camera data, resolution task maps, and realistic textures. The platform enables automotive, robotics, and defense sectors to improve perception systems while reducing reliance on large real-world datasets and lowering training costs, thereby accelerating the development of autonomous vehicles.

Compular

Grant in 2022
Compular specializes in the development of advanced analytic tools for high-tech materials. The company focuses on providing simulation and analysis capabilities that predict material properties based on intuitive design principles. Their tools deliver actionable insights into the properties of materials and liquids, facilitating the screening of candidate formulations and predicting parameters for continuum scale simulations. By employing finely tuned molecular dynamics and density functional theory, Compular enhances mechanistic understanding of material functions. Their applications span various industries, including batteries, fuel cells, metals and alloys, pharmaceuticals, electronics, and chemicals, ultimately enabling clients to adopt a predictive approach in their R&D processes and improve the success rate of laboratory trials.

Compular

Pre Seed Round in 2022
Compular specializes in the development of advanced analytic tools for high-tech materials. The company focuses on providing simulation and analysis capabilities that predict material properties based on intuitive design principles. Their tools deliver actionable insights into the properties of materials and liquids, facilitating the screening of candidate formulations and predicting parameters for continuum scale simulations. By employing finely tuned molecular dynamics and density functional theory, Compular enhances mechanistic understanding of material functions. Their applications span various industries, including batteries, fuel cells, metals and alloys, pharmaceuticals, electronics, and chemicals, ultimately enabling clients to adopt a predictive approach in their R&D processes and improve the success rate of laboratory trials.

Compular

Grant in 2021
Compular specializes in the development of advanced analytic tools for high-tech materials. The company focuses on providing simulation and analysis capabilities that predict material properties based on intuitive design principles. Their tools deliver actionable insights into the properties of materials and liquids, facilitating the screening of candidate formulations and predicting parameters for continuum scale simulations. By employing finely tuned molecular dynamics and density functional theory, Compular enhances mechanistic understanding of material functions. Their applications span various industries, including batteries, fuel cells, metals and alloys, pharmaceuticals, electronics, and chemicals, ultimately enabling clients to adopt a predictive approach in their R&D processes and improve the success rate of laboratory trials.

Compular

Pre Seed Round in 2020
Compular specializes in the development of advanced analytic tools for high-tech materials. The company focuses on providing simulation and analysis capabilities that predict material properties based on intuitive design principles. Their tools deliver actionable insights into the properties of materials and liquids, facilitating the screening of candidate formulations and predicting parameters for continuum scale simulations. By employing finely tuned molecular dynamics and density functional theory, Compular enhances mechanistic understanding of material functions. Their applications span various industries, including batteries, fuel cells, metals and alloys, pharmaceuticals, electronics, and chemicals, ultimately enabling clients to adopt a predictive approach in their R&D processes and improve the success rate of laboratory trials.
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