The construction industry isn’t always the first place you’d expect to see cutting-edge AI, but a new startup in the United States is changing that. As housing markets evolve to face challenges – from natural disasters to the growing demand for sustainable building – efficiency has never been more critical. Traditionally, designing structures to meet engineering requirements has been a slow, manual process. Now, with the Genia Structural CoPilot, AI is transforming this workflow, generating structural designs nearly instantly and dramatically reducing both time and cost.
Traditionally, designing a 20-story tower could take 18 months, requiring 15 engineers to perform 750,000 manual calculations, leaving room for human error. It’s no surprise that 40% of designs are rejected by local regulators due to miscalculations. With an AI assistant, structural engineering firms can boost output while minimizing errors, especially crucial during natural disasters when demand for structural designs surges but skilled professionals remain in short supply.
While ChatGPT and other generative AI platforms might seem like potential solutions, Genia addresses a critical gap that generalized AI cannot. Traditional generative AI services may be able to generate architectural designs, but these are merely conceptual and lack structural viability. General AI models can’t perform calculations for structural integrity or recommend optimal building materials for the job. So, according to Genia, this was a major blind spot in the construction industry, one it saw as a prime opportunity to solve.
“While OpenAI’s models or other generative AI applications can analyze engineering files from AutoCAD and Revit, their outputs are typically highly generic and merely conceptual. They might suggest that you need a beam to connect the walls, but they can’t specify the type of beam, its exact measurements, or its precise coordinates. This is where Genia comes in, offering pixel-level accuracy and physics-backed measurements,” says Zhihao Zhao, Co-Founder and CEO of Genia.
Knowing this, Genia’s co-founders including ex-Amazon engineer, Zhihao Zhao, and ex-Arup structural engineer Robin Li, went to the drawing board to create their very own generative AI model for structural engineering. And this was done from scratch.
Despite the limited availability of structural plans, Genia has trained its generative AI model using a mix of client and open-source designs. But that’s just the start. To further enhance its accuracy, Genia’s in-house structural engineers create simulated designs specifically to train the AI. Beyond that, Genia also cross-references its outputs with a materials database, which is made possible through the industry’s first partnership with major materials suppliers like Weyerhaeuser’s ForteWeb and Simpson Strong-Tie.
For structural engineering firms, this means using the Genia Structural CoPilot is straightforward, but incredibly efficient. They can upload PDF or AutoCAD files, which in just seconds outputs five different options for a structural design, each optimized for cost, sustainability, feasibility, among other factors. Not only is the math validated by Genia’s AI, but it even provides a list of suggested construction materials that would best suit the job – which the company also says will result in 20% less material used.
“Mounting cost pressures on construction projects, and the need to deliver housing across the world, mean that engineers and developers must increase both the quality and volume of output in a commercially viable manner,” said Faisal Butt, Managing Partner and Founder of Pi Labs. “Generative design is critical to solving this bottleneck and we believe Genia’s solution will become the go-to tool for thousands of companies in major development markets. It could be a game changer in facilitating offsite construction, enabling shorter build times, lower costs and more sustainable carbon profiles for projects.”
In fact, Genia is revealing that they’ve already inked a partnership with one of North America’s largest construction contractors, Suffolk Construction. This partnership aims to repurpose schools or warehouses that are no longer in use and transform them into residential or office spaces.
Genia has raised $3 million in funding, led by Pi Labs, along with participation from Amplify, Boost VC, Dorm Room Fund, Suffolk Technologies, Y Startup Index, Moatable founder Joseph Chen, and Scale AI.
