Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the engineering industry. This time, you get to discover 5 hand-picked generative design startups.
Out of 162, the Global Startup Heat Map highlights 5 Top Engineering Startups advancing Generative Design
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 162 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 engineering startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 157 generative design startups, get in touch.
Gen3D enables Additive Manufacturing (AM) Optimization
Founding Year: 2018
Location: Bath, UK
Innovate with Gen3D for 3D Printing Customization
Gen3D is a UK-based startup that develops design optimization software for AM. The startup’s Sulis software suite rapidly creates AM-appropriate geometry with design accelerators and generative design features. Sulis Flow, Gen3D’s hydraulic design software, provides an easy and quick way to create and edit complex fluid systems. The platform has in-built manufacturability analysis and compensation tools that enable manufacturing with confidence. The startup’s solutions accelerate the design process and prevent failures through real-time manufacturing checks and compensation tools.
Parallel Pipes offers a Multiphysics Simulation Platform
Founding Year: 2018
Location: Quincy, US
Partner with Parallel Pipes if for AI-driven Generative Design
US-based startup Parallel Pipes develops an AI-driven generative design platform that streamlines and simplifies complex design processes. The platform uses proprietary multiphysics simulations to eliminate dead-end design pathways and reduce cost while delivering superior results. The solution iterates through designs faster, reducing the risk by skipping to designs that already work for the specific design requirements, speeding up the time-to-market. The solution also prevents human inefficiency and delays from creeping into the design process, allowing engineers to focus on higher added-value tasks.
Bionic Mesh provides Topology Optimization
Founding Year: 2020
Location: Süssen, Germany
Use Bionic Mesh’s solution for Lightweighting
German startup Biomic Mesh Designs delivers topology optimization for computer-aided design (CAD) models. The startup uses modeling techniques in popular 3D modeling tools to convert topology optimization outputs into CAD files. These CAD files are customizable to meet the requirements for forging, casting, milling, 3D printing, and stamping with a focus on weight reduction. The startup’s technique uses shape optimization that reduces stresses from topology optimization and resulting hot spots while maintaining the mass of the components. This allows designers in the automotive, motorsports, and aerospace industries to create lightweight designs.
Soliquid provides Construction Design Optimization
Founding Year: 2018
Location: Paris, France
Collaborate with Soliquid to Reduce Construction Waste
French startup Soliquid provides freeform 3D printing and material-saving solutions for construction applications. The startup uses parametric and generative design tools to simulate, optimize, and rationalize the design and building processes in construction. This allows construction companies to conceive and build unconventional designs with a reduced risk of failure. Soliquid’s concrete 3D printing technique uses a suspension in a gel matrix method that aids freeform printing without support use and allows for material saving. Its combination of the patented large-scale additive manufacturing process and a generative design approach enables a fully integrated design-to-production workflow.
Biomatter Designs advances Generative Protein Design
Founding Year: 2018
Location: Vilnius, Lithuania
Partner for Enzyme Development
Lithuanian startup Biomatter Designs combines synthetic biology and AI to design complex proteins. The startup develops experimental tools for the efficient collection of proteomic data. The startup’s generative machine learning platform uses this biological data and converts it into knowledge that allows researchers to develop novel biocatalysts. Its proprietary algorithms generate highly functional protein libraries. The platform finds applications in the design of enzymes for both therapeutic and industrial applications.
Discover more Engineering Startups
Startups such as the examples highlighted in this report focus on swarm robotics, biomimetics, and optimization technologies. While all of these technologies play a major role in advancing the engineering sector, they only represent the tip of the iceberg. To explore more engineering technologies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download one of our free Industry Innovation Reports to save your time and improve strategic decision-making.
