By unifying fragmented Quality data, Pull Systems helps engineering teams act before failures become headlines.
When manufacturers and suppliers talk about quality control, they typically focus on individual data sets, such as warranty claims and diagnostic checks. However, according to Henry Furman, Founder and Chief Product Officer of Pull Systems, that fragmentation is a multi-trillion dollar problem that the industry can no longer afford to ignore.
“Iteration speed is the reason China is winning right now. They release a new-and-improved vehicle every 18 months, compared to seven years for an American or a German OEM. It’s all made possible by a very strong data model that isn’t siloed by department.”
Pull Systems is building AI platforms to deliver even faster insight generation for quality teams. By unifying telematics, diagnostic, production, and service data into proprietary knowledge graphs, Pull Systems helps Quality, Aftersales and Service teams identify root causes, failure indicators, and product improvements in minutes instead of months. “Major European and American automotive manufacturers will be saving thousands of hours this year by using our products,” Furman told MOVEment.net at Move America.
From a business and operations perspective, the speed at which Pull Systems’ customers can identify these insights is what moves the needle. “It’s all about getting the right information to the right place at the right time,” says Furman. “With quality incidents, every second matters. Our partners count on our products to deliver insights that can help them respond effectively when they’re in the hot seat. That means fewer repairs, fewer warranty claims and happier customers. At the end of the day that’s what drives seven- and eight-figure value to the bottom line.”
But Pull Systems is not just AI platforms and software products, they’re also firm believers in the forward-deployed engineering model. “We see exponential value creation when we work alongside our partners,” Furman explained, “this problem space requires deep human and technical integration, so being on-site is a must.”
Pull Systems’ cutting edge AI tools and real-world experience with elite manufacturing teams make production-scale integrations easier and more secure than ever before.
Pull Systems earned its credibility in automotive, partnering with OEMs on some of the industry’s most complex product launches. Today, that same embedded model is being applied across the broader industrial landscape—from heavy equipment and trucking to energy, defense, construction, mining, aerospace and agriculture, and next-generation mobility—where reliability defines performance. The goal remains constant: better machines, built faster.
As manufacturers face rising cost and reliability demands, Pull Systems is working alongside engineering and quality teams to close the gap between insight and action. For those exploring how to improve performance without adding cost, the team welcomes a conversation.
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