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Mitsubishi Materials USA Accelerates Custom Engineering and Quoting With CADDi Drawing Intelligence

New CADDi case study details how a leading materials and manufacturing company improves quoting speed, engineering reuse, and cross-team data access using AI-powered drawing intelligence.

CADDi, the pioneer in manufacturing-exclusive AI data platforms that serve as a shared intelligence layer across engineering, sales, and operations, today announced the release of a new customer case study developed with Mitsubishi Materials USA.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260106311869/en/

Photo courtesy of Mitsubishi Materials USA (MMUS). MMUS implemented the CADDi AI data platform to make their repository of engineering and sales data more searchable and insightful.

Photo courtesy of Mitsubishi Materials USA (MMUS). MMUS implemented the CADDi AI data platform to make their repository of engineering and sales data more searchable and insightful.

Manufacturing moves beyond tribal engineering knowledge

Manufacturing organizations are increasingly realizing the need for shared, decision-grade intelligence that sales and engineering teams can access independently, rather than relying on specific knowledgeable employees. This shift reflects growing pressure to respond faster to custom work while maintaining consistency as teams scale and experienced staff retire from the workforce.

Manufacturers supporting high-mix, custom production have relied on years of engineering drawings, pricing history, and quality records. However, these data resources are often difficult to locate and reuse. When this information is fragmented across systems or individuals, teams lose time coordinating, recreating work, and waiting on internal handoffs.

According to Yushiro Kato, CEO and co-founder of CADDi, “We are seeing a clear shift in how manufacturers operate. They’re evolving away from the era of tribal engineering knowledge as a bottleneck in decision-making. Manufacturers already have the knowledge they need to work faster and smarter. The most common challenge our customers face is access. This case study shows how making engineering data visible across teams directly improves speed, consistency, and decision quality.”

Turning decades of engineering data into shared intelligence

Founded in 1984, Mitsubishi Materials USA is part of the Mitsubishi Materials group, a global materials and manufacturing company headquartered in Japan. The company provides cutting tools and engineered carbide solutions for turning, milling, drilling, and wear-resistant applications to manufacturers across North America.

Through the CADDi platform, including its CADDi Drawer application, Mitsubishi Materials USA enabled teams to search by easy-to-access info, including customer, tool number, or quote ID, and immediately retrieve related drawings, inspection reports, prior decisions, and more. This quick access reduced manual coordination, improved response times for custom requests, and minimized duplicate engineering effort. Sales teams gained direct access to the information needed to estimate costs for and respond to custom requests, while engineering teams benefited from easier reuse of prior designs and decisions.

Enabling faster decisions without increasing reliance on individuals

The case study highlights how Mitsubishi Materials USA enabled sales and engineering teams to independently access historical engineering drawings, quotes, and related records. By reducing reliance on manual handoffs and making this information searchable and reusable across teams, the company accelerated response for custom work while improving consistency across quoting and engineering workflows.

Centralized access to engineering history also helped standardize how past designs and quality outcomes informed new work. This supported continuity as projects scaled and personnel changed, reducing dependency on individual knowledge holders. A regional sales manager at Mitsubishi Materials USA described the impact on daily work, “It’s a huge time saver. Being able to search for a quote number, tool number, or customer and get exactly what I need without maintaining it on my own has changed how we work.”

The complete case study is available at us.caddi.com/case-studies

About CADDi

CADDi is an AI powered data platform that makes design and supply chain data accessible and actionable for manufacturing teams. Headquartered in Tokyo and Chicago, the company was founded in 2017 by industry veterans Yushiro Kato and Aki Kobashi, formerly of McKinsey, Apple, and Lockheed Martin. Its flagship product, CADDi Drawer, uses advanced AI to centralize and analyze unstructured design and production data, helping manufacturers improve efficiency, reduce redundancies, and unlock innovation. Recognized globally for innovation, CADDi was listed in Fast Company’s Most Innovative Companies and won the SaaS Award for Best Business Intelligence and Engineering Management Software. To learn more or to book a product demonstration, visit us.caddi.com.

A regional sales manager at Mitsubishi Materials USA shared, “It’s a huge time saver. Being able to search for a quote number, tool number, or customer and get exactly what I need without maintaining it on my own has changed how we work.”

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