Tallinn-based startup GScan has raised €3 million in seed funding from investors including Bolt-founder Markus Villig, Japanese corporate venture funds, and existing angel investors. The company specializes in deep tech that enables non-intrusive scanning of materials and structures using cosmic ray muon tomography, providing detailed 3D imagery to assess chemical composition and structural integrity without harmful radiation. GScan plans to use the funding to further develop and commercialize their technology, expand their team, and explore new applications in areas such as defence, national security, healthcare, and space.
“Muon tomography is decades old technology and with the advent of AI and better optical solutions, we have finally managed to commercialise and make viable non-invasive detection of defects faults in various materials, including concrete and steel,” said CEO Marek Helm. “We have also launched the SilentBorder initiative to use myon tomography in finding for example narcotics and other contraband inside shipping containers without manual inspection. The advantage of myon tomography over x-rays is also that there is no harmful radiation.”
Founded by a team of CERN physicists, engineers, and entrepreneurs, GScan uses muons – naturally occurring, harmless cosmic rays – and AI analysis to assess the chemical composition and structural integrity of infrastructure, such as bridges and tunnels.
“The scientific innovations of our team allow for a detailed and non-invasive risk analysis of almost any structure, helping to identify structural weaknesses before they become critical,” said Helm.
The deep tech startup provides detailed 3D imagery of assets’ internal structure, enhancing public safety through informed infrastructure maintenance.
GScan is currently working on a maiden project with the UK National Highways, AtkinsRealis, and Jacobs, assessing the integrity of steel components inside a post-tensioned concrete bridge.
Concrete is the most abundant and CO2-heavy building material. Repairing an old structure instead of replacing it reduces the costs and CO2 by up to 80%. For example, instead of demolishing and rebuilding one average bridge more than 460 tonnes of CO2 can be saved through prolonging its lifecycle.
In partnerships with academic institutions – including Imperial College London, the University of Sheffield, CERN, and the European Space Agency – GScan is exploring further applications of the technology in areas such as defence, national security, healthcare and space.
GScan was founded in 2018, and the company employs over 35 staff. In its first major commercial project, the firm scanned through 10 metres of concrete and steel for details of two Soviet-era nuclear submarine reactors in Paldiski, Estonia. Achieving accuracies 30 times better than those of the former similar projects, GScan set a new benchmark for non-invasive imaging for complex legacy structures.
“We have already been invited to evaluate the potential of inspecting other ageing nuclear reactors in Europe,” added CEO Marek Helm.
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Originally published on ArcticStartup : Original article