MVTec Strengthens North American Growth with Appointment of Rob DeMellier as Business Development Manager

March 27, 2026
3 min read
  • DeMellier will work closely with manufacturers, system integrators, and technology partners.
  • MVTec’s hardware-independent machine vision software products are among the most powerful tools on the market. 

Munich, March 27, 2026 – MVTec Software GmbH (www.mvtec.com), a leading international manufacturer of machine vision software, announces the appointment of Rob DeMellier as Business Development Manager for North America. In this role, DeMellier will support companies across various industries in identifying efficiency gains and optimizing automation processes using MVTec’s powerful software solutions. 

“MVTec’s software portfolio provides companies with a flexible and future-proof foundation for automation,” said Rob DeMellier. “I look forward to working with customers across North America to identify practical opportunities where machine vision and AI-driven technologies from MVTec can deliver measurable business value.” 

Great experience in the automation and machine vision industry

DeMellier has extensive experience in the robotics industry, as well as in machine vision - complimented by an early career in manufacturing as a process engineer. This perspective affords DeMellier a unique understanding of both the engineering and business challenges facing manufacturers, as well as the opportunities provided by the latest automation technologies. 

DeMellier will work closely with manufacturers, system integrators, and technology partners to help them leverage machine vision for improved quality, productivity, and operational performance. By applying MVTec’s powerful software products HALCON, MERLIC, and the Deep Learning Tool, organizations can unlock new levels of efficiency in inspection, measurement, identification, and robotics applications. 

Flexible MVTec software for robust detection rates and application scalability

MVTec is known for its hardware-independent software solutions, encompassing capable of seamless integration with a wide range of cameras, sensors, and applications. The company’s products combine high performance with advanced artificial intelligence capabilities, allowing users to implement both rule-based image processing and deep learning methods within a single development environment. This approach helps customers build robust, scalable vision systems tailored to their specific production requirements. 

With decades of experience in machine vision software, MVTec supports companies worldwide in advancing digitalization and automation strategies. The expansion of the North American business development team underlines the company’s commitment to being close to customers and driving innovation in key growth markets. 

About MVTec Software GmbH

MVTec is a leading manufacturer of standard software for machine vision. MVTec products are used in a wide range of industries, such as semiconductor and electronics manufacturing, battery production, agriculture and food, as well as logistics. They enable applications like surface inspection, optical quality control, robot guidance, identification, measurement, classification, and more. By providing modern technologies such as 3D vision, deep learning, and embedded vision, software by MVTec also enables new automation solutions for the Industrial Internet of Things aka Industry 4.0. With locations in Germany, the USA, France, Benelux, Spain, China, Taiwan and South Korea as well as an established network of international distributors, MVTec is represented in more than 35 countries worldwide. www.mvtec.com   

Press Contact MVTec Software: 

MVTec Software GmbH

Christoph Ruchlak

Arnulfstraße 205

D-80634 München

Phone: +49 (0)89-457695-0

Email: [email protected]        

Web: www.mvtec.com         

 

Schwartz Public Relations GmbH

Tobias Möldner / Oliver Salzberger

Sendlinger Straße 42 A

D-80331 München

Phone: +49 (0)89-211 871 -31 / -73

Email: [email protected]       

Web: www.schwartzpr.de/en/

 

 

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