The bidding process in construction is long, complex, and expensive, and even successful companies only win one contract for every ten bids they create on average. In other words, nine times out of ten, the time spent developing that bid is money down the drain. Mehdi Nourbakhsh, a senior research scientist at Autodesk, shares his experience working with leading Bay Area construction firm ConXtech to create a series of artificial intelligence (AI) agents that helped their team automate cost studies and the exploration of structural engineering options. By replacing manual processes, they were able streamline the bidding process from months to a few days, a change that could potentially save them millions of dollars every year.
About the speaker
Mehdi Nourbakhsh is a principal research scientist at Autodesk Research. Currently, he leads an AI studio in San Francisco, focusing on the future of AI and machine learning in AEC. He holds a PhD in Design Computing and a master’s degree in Computer Science. For several years, he worked as a structural engineer and a construction manager for various AEC projects.
Discover more about project estimation and the value of AI in construction with these AU resources.
With greater complexity in architectural projects comes greater risk for builders. Laura Watts shares insight on how to estimate that risk and build it into your project bids.
With Autodesk Quantify now part of Autodesk Construction Cloud, estimators have a new tool to simplify the quantification process. Samira Tily and Nick Zeeben show how you can automate many aspects of this previously manual process, pull data from appropriate sources, and collaborate more easily to improve estimation efficiency.
Rachel Trocchi shows you how to bring BIM models into your workflows for quantification, scheduling, and estimation.