This month Procore Technologies, Inc. of California, a leading construction management and CDE software provider announced their acquisition of INDUS.AI, the makers of artificial intelligence-powered analytics software for the construction industry.
INDUS.AI offers the construction industry advanced computer vision powered by AI to help identify safety issues and other identifiable job site issues. It’s solutions track and review construction progress, ensure safety and compliance, gain real-time project visibility, view labor deployment, minimize equipment idle time and resolve claim disputes.
“We are excited to welcome the INDUS.AI team to Procore as we expand our AI capabilities,” said Tooey Courtemanche, Procore founder and CEO. “Our customers depend on the Procore platform as their system of record. With our investments in analytics and AI, we’re becoming their system of intelligence and helping our customers unlock the value of their project data through powerful insights that enable better, data-driven decisions.”
“Since 2017, INDUS.AI has been using computer vision and AI to improve the lives of construction professionals, freeing them up to focus on the most important parts of their projects. The Procore platform contains immense amounts of visual data, and we’re looking forward to transforming it into actionable construction knowledge together,” said Matt Man, cofounder and CEO of INDUS.AI.
“I can’t think of a better way to acknowledge North America’s Construction Safety Week than for INDUS.AI to join forces with Procore. We’ve been a Procore App Marketplace partner since 2018, and we first partnered on a safety integration. Together, we’ll keep making construction safer, more efficient, and more profitable,” said Navin Kaminoulu, cofounder and COO of INDUS.AI.
INDUS.AI reports that it monitors over 100 million square feet of construction sites every day with its AI engine detecting anomalies and progress. The system has been trained with millions of images and video specific to the construction sector and can identify more than 70 metadata labels per image. To learn more about them you can visit their website. For Procore’s solutions go here.