Coherix expands to meet AI-based quality control demands
Coherix is scaling up production and product development to meet growing demand for AI-driven quality control in adhesive application for automotive and electronics assembly.
By the end of the year, the company will move into a new 25,000-square-foot North American manufacturing, product development, and headquarters facility in Ann Arbor.
What's changing
The nearly $1M expansion adds 5,000 square feet of production capacity and another 5,000 square feet for engineering, software development, training, and customer service. Overall workspace nearly doubles, opening room for 10 to 15 new engineering and product development roles over the next year.
The facility's Innovation Center will include 10 robot stations with various dispensing setups, technical training spaces, and a product demonstration and service area for customers. In practice, that means faster trials, smoother onboarding, and tighter feedback loops with production teams.
Tech snapshot
Coherix provides adhesive-dispensing process control technology to global OEMs, tier-one suppliers, line builders, dispensing-equipment companies, and system integrators. The systems automatically inspect and control the application of adhesives and sealants at assembly-line speeds.
Its 3D laser-based quality control combines machine learning, AI, and process-control software. The company reports up to 25% savings in labor and materials by improving first-pass yield, reducing rework, and tightening bead quality.
On the floor, that looks like a dispensing engineer programming a robot-e.g., a Yamaha unit-to run with a Coherix 3D inspection system, closing the loop between application and verification in real time.
Leadership view
Craig Manning, Vice President of Operations, Product Development and Accounting, said the move will help the company keep pace with customer demand, accelerate development across precision dispensing, and make it easier to recruit engineering talent.
Why it matters for product development
- Shorter iteration cycles: The Innovation Center's 10 robot stations enable rapid DOE on bead geometries, substrates, and dispense paths before committing to line changes.
- Lower cost of quality: Inline 3D inspection with AI aims to reduce scrap, rework, and manual checks-supporting the reported 25% savings in labor and material.
- Faster scale-up: Additional engineering capacity and customer training space should speed pilots, validation, and deployment across multiple plants or models.
- Integration confidence: Demonstrations with mixed dispensing equipment and robotics give teams a clearer path to integrating with existing cells.
What to watch
- How the new facility impacts lead times for new installs and retrofits.
- Improvements in closed-loop control-e.g., automatic bead correction based on 3D inspection feedback.
- Support for broader materials and substrates as adhesive portfolios evolve.
- Training throughput and its effect on time-to-value for new programs.
If your team is building or upgrading AI-driven inspection and process control, consider upskilling your engineers for faster deployment and validation. See practical options for product development teams at Complete AI Training.
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