ZEISS Industrial Quality Solutions will showcase connected inspection workflows, AI-assisted analysis and coordinate measuring machine software at IMTS 2026, highlighting the role of integrated measurement data in faster and more reliable quality decisions.
Manufacturers operating quality inspection across disconnected instruments face a growing challenge: ensuring that measurement data can be trusted and translated into timely decisions. At IMTS 2026, ZEISS Industrial Quality Solutions will demonstrate how coordinate measuring machine (CMM) software, AI-assisted analysis and connected inspection hardware can help quality teams reduce the delays created by fragmented inspection workflows.
As manufacturing environments increasingly combine CMMs, 3D scanners, computed tomography (CT)/X-ray systems, vision measuring machines and other inspection technologies, the ability to connect measurement data is becoming increasingly important. When hardware and software platforms operate independently, quality teams may spend significant time consolidating and interpreting information before corrective or production decisions can be made.
At its IMTS 2026 booth, ZEISS will present an integrated approach that brings measurement hardware, software and quality data management together. The company will demonstrate technologies covering automation, multisensor coordinate measuring machines, CT/X-ray nondestructive testing (NDT) systems, 3D scanning, industrial microscopy, multisensor vision measuring machines (VMMs), and surface and special geometry measurement.
Connected CMM Software and Inspection Workflows
The ZEISS Software Hub will serve as a central feature of the company's presence at IMTS 2026, with daily expert sessions focused on connected quality workflows, AI-assisted inspection planning, quality data management and reporting.
For manufacturers in industries including aerospace, automotive and electric vehicles (EVs), medical devices, electronics, and power and energy, inspection data is generated across multiple measurement platforms throughout the production process. Connecting this information can provide quality teams with a more comprehensive view of manufacturing performance.
ZEISS CALYPSO is designed to support CMM measurement strategies, while ZEISS INSPECT provides capabilities for inspection planning and 3D data analysis. ZEISS PiWeb brings quality analytics and reporting together, enabling measurement information from different data sources to be viewed and evaluated through a common platform.
The integration of these capabilities reflects a broader shift in industrial quality management, where inspection systems are increasingly being evaluated not only on measurement accuracy but also on their ability to connect data and support faster decision-making.
AI-Assisted Analysis for Industrial Inspection
AI-assisted analysis will also form part of ZEISS's IMTS 2026 demonstrations. For inspection teams, the application of AI to measurement data can help move workflows beyond the collection of individual inspection results toward more data-driven analysis.
This becomes particularly relevant as manufacturers manage increasingly complex components and larger volumes of inspection information. AI-assisted tools can support inspection planning and analysis while allowing quality professionals to focus on interpreting results and determining appropriate manufacturing actions.
The approach also aligns with the growing convergence of metrology, NDT and digital quality management. Technologies such as CT and X-ray inspection can generate detailed information about internal structures, while CMMs and 3D scanners provide dimensional and geometric data. Bringing these sources into connected software environments can help organizations establish a broader understanding of component quality.
From Measurement Data to Quality Decisions
The emphasis on connected workflows comes at a time when manufacturers are looking beyond the precision of individual inspection instruments. While measurement accuracy remains fundamental, the ability to access, organize, analyze and report inspection data efficiently is becoming an increasingly important part of the overall quality process.
For quality managers evaluating CMM software, inspection platforms or broader digital quality systems, the IMTS 2026 demonstrations provide an opportunity to compare how different technologies address data integration, inspection planning and reporting.
ZEISS's presence at the event will therefore extend beyond individual measurement equipment, highlighting an ecosystem in which inspection hardware and software work together to support quality operations.
As manufacturers continue to adopt automated inspection, multisensor measurement and AI-assisted analysis, connected quality workflows are expected to play an increasingly important role in reducing data silos and improving the speed at which inspection results can be converted into actionable manufacturing intelligence.
At IMTS 2026, ZEISS will use its Software Hub and broader Industrial Quality Solutions portfolio to demonstrate how integrated CMM software, NDT technologies, 3D inspection and quality analytics can contribute to a more connected approach to industrial inspection.
Reference: https://www.labmanager.com/zeiss-brings-ai-inspection-and-cmm-software-to-imts-2026-35893
