There are certain milestones that are more significant than others for a company – the first customer, the first office, the first funding round or even the first acquisition of another company. If you celebrate this latest milestone, it means that your company has already reached an advanced level of its journey – just like Hyperganic.
It seems like minutes ago that we were talking about Hyperganic emerging from stealth mode. Yet, the software company that creates the design of physical objects using AI and algorithms, is announcing the acquisition of DirectFEM today.
The one-year-old Munich-based startup develops advanced physical simulation capabilities using the Finite Cell Method. This new quasi-mesh-less method would enable the physical evaluation of designs that were traditionally considered too complex to simulate.
The founders Nina Korshunova, László Kudela and Davide D’Angella started this journey at the Technical University of Munich (TUM). They are now joining Hyperganic as full-time employees to make advanced simulation an integral part of Hyperganic Core, the company’s Algorithmic Engineering platform.
“At Hyperganic, we embarked on a mission to engineer physical objects and machines that approach the complexity of Nature. While Hyperganic Core can create these intricate designs, evaluation and testing was always a challenge. Conventional simulation tools cannot handle the amount of detail our algorithms create”, says Lin Kayser, CEO and Co-founder of Hyperganic. “When we saw what the DirectFEM team had built, it became clear that this was the missing link to integrating physics deep into Hyperganic Core. The acquisition moves us forward on our mission to tackle the great engineering challenges of our time.”
One of the direct advantages of the integration of simulation into Hyperganic’s portfolio is that users could instantly evaluate algorithmically engineered objects and improve them in a process of digital evolution.
Nina Korshunova, CEO of DirectFEM, comments: “Historically, simulation tools require lengthy and tedious meshing processes to break the domain of objects into small parts. Our method overcomes this limitation, which makes it possible for the first time to iterate and validate the complex physical machinery that Hyperganic creates.”
While this acquisition will enable Hyperganic to dramatically move engineering under a software paradigm, the company does not intend to stop here as it is already working on the soon-to-be released Hyperganic Core 3, the first public iteration of its Algorithmic Engineering platform.
Read more: Hyperganic took part in an exlcusive dossier entitled: How do AM companies help tackle climate change? – Tangible actions on the ground.
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