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Hyperganic

Hyperganic develops software for algorithmic engineering and 3D printing, enabling the design and production of lightweight, mass-customized structures across various industries, including aerospace and biomedical applications. Their technology reduces design-to-production time by up to 80%, facilitating efficient manufacturing processes and personalized product solutions.

Munich, GermanyFounded 2014
Updated 4 months ago

Funding

$11.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional engineering design and manufacturing processes often involve lengthy design cycles and are not optimized for additive manufacturing, limiting the ability to create lightweight, customized structures efficiently. This results in increased production times and suboptimal product performance across industries like aerospace and biomedical.

Solution

Hyperganic provides algorithmic engineering software that streamlines the design and production of complex, lightweight structures optimized for 3D printing. The software leverages advanced simulation and geometry representation to facilitate rapid design iterations and reduce design-to-production time. This enables the creation of mass-customized parts with enhanced performance characteristics, such as improved thermal management, lightweighting, and novel metamaterial properties. By automating the design process, Hyperganic empowers engineers to explore innovative solutions and accelerate product development cycles.

Target Audience

The primary target audience includes engineers and manufacturers in aerospace, automotive, biomedical, and tooling industries seeking to optimize product design and manufacturing processes using additive manufacturing.

Features

  • Algorithmic design tools for generating complex lattice structures and internal geometries
  • Quasi-meshless simulation capabilities for rapid performance analysis and optimization
  • Advanced lattice grading algorithms for creating variable-density structures
  • Topology optimization tools for lightweighting and material efficiency
  • Support for mass customization of 3D-printed parts
  • Automated design workflows for tooling and bioengineering applications
  • Integration with additive manufacturing processes for direct part production
This profile is AI-generated and may contain inaccuracies.