AEC Business

Henderson Engineers Tests AI for Building Systems Design with Torch.AI

Torch.AI is testing a new artificial intelligence application with Henderson Engineers, a national building systems design firm, to unlock the creative and problem solving potential of the firm’s more than 1,000 employees.

Henderson Engineers is a building systems design and engineering firm that works on projects across the business, community, health, retail, and venue sectors. Their projects include many high-profile projects, such as SoFi Stadium, host site for the 2022 Super Bowl. They know how the industry relies on highly complex information contained in equally complex unstructured data: drawings, images, PDFs, handwriting, raw text.

Earlier this year, Henderson began testing new artificial intelligence from Torch.AI that could learn to read complex construction and engineering documents and diagrams.

“When Kevin Lewis, Henderson’s CEO, and I got together to first discuss the partnership, I could tell they were already thinking way ahead of everyone else,” says Brian Weaver, Chairman and CEO of Torch.AI. “As an engineering firm they are meticulous, thoughtful, strategic. We quickly saw the potential impact these new AI systems could have for their amazingly talented teams and are excited to continue growing our relationship.”

Training the AI with more than 340 million parameters

Past construction & engineering data sets were used to quickly train the AI with more than 340 million parameters and growing, which in turn creates new opportunities for automation and data sharing.

The Torch.AI system has already read roughly 100,000 engineering drawings with remarkable accuracy. In one example, in less than one second the AI is able to identify, extract, and compare diagrams from 40+ page project files with an average accuracy of 98.9%.

Unlocking human potential

Torch.AI’s software helps unlock human potential by removing impediments to creativity and problem solving, namely mundane tasks created by the explosion of enterprise data and ever-increasing gaps in technology.

The software begins by instantly figuring out what the data is and how it can be useful, then applies advanced machine learning to automate the steps necessary to deliver new insights and support decisions; all without human intervention.

The construction & engineering industry is known for sophisticated projects spanning huge supplier networks, strict building design standards, detailed job planning efforts, and tight margins. In such an environment, AI and machine learning can certainly create game-changing opportunities for engineering firms. We hope to learn more about Henderson’s exploration into AI in the near future.

Source: PR Newswire, Sep 06, 2022

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