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Closeup of half of a man's face with thick black eyebrows and a beard on the left hand side. The other half shows a microscope image of a distal lung‑organoid with the colors green, blue, and magenta. The composite image was generated by AI

Visionary minds.
Enhanced by AI

How ZEISS improves quality of life and drives progress

At ZEISS, we both use and shape artificial intelligence (AI) while also enabling its continuous advancement.

We develop AI that drives social progress – safely, responsibly, and with real benefits for people. At the same time, modern AI requires enormous computing power from high-performance microprocessors, which would not exist without ZEISS technologies.

Python programming language code is displayed in a text editor on a laptop monitor. In the foreground, a person with headphones is partially depicted from behind.

Artificial intelligence (AI) is no longer just a vision. It is an integral part of almost all industries and areas of daily life. Developments in generative AI have once again significantly increased the speed of technological innovation.

Closeup of half of a woman's face with red curly hair on the left hand side. The other half shows an image of the milky way. The composite image was generated by AI.

At ZEISS, we make targeted use of this potential to realize our customers' ambitions, improve people's quality of life, and help visionaries in science, industry, medicine, and society achieve real breakthroughs. Our aim is not just to use AI, but to actively help shape it – as a leading global partner for technological innovation.

Microscope image of a distal lung‑organoid with the colors green, blue, and magenta. Photo courtesy of Prof. C. Kuo, Department of Medicine, Hematology Division, Stanford University, USA

For us, AI is not an abstract technology. It is a tool that helps to generate insights, optimize business processes, improve decisions, and promote technological progress. We believe it is vital that our customers benefit from this technology and that AI is used responsibly.

A ZEISS technician in a blue protective suit works on an EUV lithography device in a white clean room

How ZEISS enables AI

AI requires enormous computing power – and demand is continuously increasing. Even more powerful microchips are required. This is precisely where we at ZEISS make a key contribution: The optics from ZEISS Semiconductor Manufacturing Technology (SMT) form the basis for microchips that are ever smaller, more powerful, and more energy efficient. This is how we create the technological foundation for the next generation of AI applications in everyday life, research, medicine, industry, and beyond – the heart of digitalization beats at ZEISS.

Where ZEISS uses AI

A ZEISS technician works on a mirror of an EUV lithography device. He is wearing a white clean room suit and only his eyes are visible.

Semiconductor manufacturing

AI analyzes structures in the nanometer range and enables more precise production processes for the microchip industry.

At ZEISS SMT, we not only enable AI by developing ever smaller and more powerful microchips, we also use it ourselves – for example, to identify the optimal time to replace components in manufacturing systems.

A person in blue surgical clothing works in a poorly lit operating theater. In the background there is a screen showing a shot from inside his working environment.

Medical technology

AI is shaping the future of healthcare.

The potential of artificial intelligence to revolutionize healthcare truly stands apart: AI is helping to improve diagnostic accuracy, speed up drug discovery, and enhance personalized patient care.

From classic machine learning algorithms to deep learning models – for more than 20 years, ZEISS AI solutions have been supporting data-driven patient care.

A mechanical component is scanned by a 3D scanner. The scanning area can be recognized by bright blue hatching on the component.

Industrial metrology

Automated, AI-supported evaluation and data analysis improve quality assurance for complex components.

The AI solutions from ZEISS IQS help to automate and accelerate industrial inspection processes by automatically analyzing and classifying image data from CT, X-ray or microscopy systems for defects, porosity, grain sizes, or particles – enabling faster, more precise, and more reliable quality assurance.

A person with short curly hair looks past the camera at an angle. She is wearing a lab coat and working at a microscope. The image was created by generative AI.

Industry & science

AI solutions integrated into microscopy increase efficiency and accelerate the generation of insights in industry and science – along the entire workflow, from image acquisition to data analysis.

AI algorithms improve image quality and identify and classify structures and objects in microscopic images. This means, for example, that cell cultures can be analyzed more quickly. AI helps minimize errors in the analysis of large amounts of data and enables more accurate, efficient, and reproducible work.

Artificial intelligence in figures

Technological innovations from ZEISS drive progress.
  • 100%

    of the ZEISS segments develop innovations for or with AI.

  • 80%

    of the world's microchips are manufactured with ZEISS optics.

  • >50

    research institutions cooperate with ZEISS, often on AI-related projects.

How ZEISS products and solutions are enhanced with artificial intelligence

Driving technological progress with AI

ZEISS in conversation with experts.

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    Putting AI behind the wheel

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    Innovation in semiconductor technology

In focus: Artificial intelligence at ZEISS

  • At ZEISS, AI is used in numerous areas to optimize processes, drive technological innovation, and enable new solutions and applications. Artificial intelligence includes methods such as machine learning, deep learning, and generative models. AI also supports research, microscopy, semiconductor manufacturing, medical technology, and industrial quality processes at ZEISS.

  • In the field of AI, ZEISS focuses on innovation fields such as image processing, data analysis, automated quality assurance, medical and research technologies, and the development of new methods for machine learning. Research priorities include high-precision, high-performance AI technologies, the resource-efficient use of AI, multimodal and interactive AI, and the close integration of AI with optical and photonic technologies.

  • Machine learning and deep learning are key components of ZEISS' AI solutions. They enable the precise analysis of large quantities of data, improve image and signal processing, support decision-making processes, and increase efficiency in manufacturing, diagnostics, research, and measurement technology. These technologies help ZEISS to develop innovative and reliable AI applications.

  • ZEISS integrates artificial intelligence wherever it creates measurable added value in terms of precision, speed, reliability, and decision-making support. AI is used in different business areas – from microscopy and medical technology to industrial metrology and semiconductor manufacturing. On this page, the product highlights from the individual business units show how AI is already being used in specific applications today. You can explore the detailed use cases and innovations in the sections above.

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  • 1

    Kenny PI, Kozhaya K, Truong P, Weikert MP, Wang L, Hill WE, Koch DD. Efficacy of segmented axial length and AI approaches to IOL power calculation in short eyes. J Cataract Refract Surg. 2023 Mar 17.