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Swiss technology pioneers in computer vision and machine learning

PXL Vision was founded in 2017 by a team of Swiss technologists who have pioneered scalable applications in computer vision and machine learning. The company’s management team has collected experience in that area since 2011. PXL Vision has substantial experience in developing applied technologies that are adopted by millions of end-users.

Vision

Our vision is a world full of trust, built on verifiable digital identities

We are living in an increasingly digital and remote world. Identity verification is becoming a key necessity for providing access to goods and services online. Unbiased, ethical artificial intelligence (AI) is one of the core building blocks used to achieve trusted, verifiable identities.

We are committed to being the technology leader for high-performance machine-learning based solutions and best practices in identity verification. Our goal is to become a global market leader that develops technologies that make the digital world safer for everyone.

Core technology & research areas

With our technology, we seek to increase the accuracy, automation, and reliability in identity verification. We have developed globally unique, patent-pending approaches. These include:

  • The recognition, classification and determination of ID document authenticity and optical security features, such as holograms / lenticulars;
  • Facial biometrics, including face verification, zero-interaction passive liveness detection and face-morphing;
  • Methods for efficiently dealing and working with sensitive personal data.

Our high-performing machine-learning systems do all the heavy lifting for the user. This allows us to perform a full identity verification in just 30 seconds. The overall speed of the process is one of the many advantages of our solution.

Applied AI

Machine-learning algorithms make decisions based on the datasets they were trained on. With increasing availability, machines have started to outperform the capabilities of the human brain in many areas. Since any AI is only as good as the data it is trained on, our specialized machine learning algorithms are trained on real-world data. We strive to make our AI as effective as possible and have implemented processes designed for the continuous improvement of performance and accuracy. This allows us to automate identity verification to the highest possible degree. As a result, our algorithm outperforms humans in accuracy and speed.

By nature, AI is prone to systematic and repeatable outcomes that privilege certain groups of people over others. We therefore design and train our algorithms in an ethical way in order to avoid algorithmic bias. We leverage large, representative production data, which allows the global application of an equal standard. Our diverse team of international AI engineers continuously work on avoiding AI bias and implementing best practices to review and refine our algorithms.

At our core, we are a technology company. Our ambition is to be a global leader in identity verification, building solutions that make the digital world safer for everyone. Together with leading academic partners, we are working on achieving this target while being at the forefront of applied technology .

Our collaboration with leading academic institutions, such as the ETH Computer Vision Lab (CVL), the Berner Fachhochschule Computer Perception program and Michigan State University help us improve and further develop our technology. These award-winning labs work with PXL Vision to develop cutting-edge innovations that are incorporated into our product range.

Academic Partnerships

Our collaboration with leading academic institutions, such as the ETH Computer Vision Lab (CVL), the Berner Fachhochschule Computer Perception program and Michigan State University help us improve and further develop our technology. Together, we develop innovations that can be used in our product offering.

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Work with our industry partners

Our direct integrations with leading industry partners allow you to benefit even more.

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