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amsight closes successful pre-seed investment round
Hamburg, 10 April 2025
The Hamburg-based startup amsight, which specialises in data-based process optimisation in industrial 3D printing, has successfully completed its pre-seed investment round. A total of five investors are participating in the round - in addition to capital, they primarily bring in-depth expertise in the areas of additive manufacturing, finance and sales. Supporters include MBG Schleswig-Holstein and the business angels Michael Wohlmuth, Alexander Flamboe, Andreas Berkau and Michael Jonker.
amsight was supported as part of CREW Hamburg in the Startup Port @TUHH - a programme of the TUHH start-up centre that accompanies innovative start-ups on their way to market maturity.
Strategic partnerships for growth
amsight intends to use the fresh funds to expand its sales organisation and further develop its software platform. The aim is to provide additive manufacturing companies with data-based transparency about their production processes - resulting in improved quality, lower reject rates and optimised production parameters.
‘With this financing, we are taking the next big step,’ says Dr Tim Wischeropp, co-founder and CEO of amsight. ‘Our investors are not only supporting us financially, but are also contributing strategic expertise and valuable networks to the partnership.’
A second closing currently offers other industry-related investors the opportunity to get involved.
amsight platform - process intelligence for 3D printing
amsight's software platform analyses production data from industrial 3D printing processes using AI and statistical methods. The aim is to recognise sources of error at an early stage and improve production processes based on data-supported findings. The solution can be seamlessly integrated into existing production environments and supports both real-time monitoring and in-depth analyses.
With the conclusion of the investment round and the strategic support of its partners, amsight plans to expand its market presence and further develop the platform into a comprehensive solution for process intelligence in additive manufacturing.
TU Hamburg
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