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Next-gen, AI-powered customer experience

Superhuman Vision analyzes customer behaviour to suggest upselling opportunities and improve user experience.

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Printing Services

Understand customers better

In-depth analysis of user content facilitates automatic selection of the best printable images, ensures a better buying experience and increases purchases.

Provides user insights

Analyzes what your customers are printing

Gives recommendations

Builds systems to suggest personalised products to users

Eases Processes

Simplifies searches by decluterring rudimentary search algorithms

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Printing Services

Turn vision into value and actionable insights that help you better understand customers, improve their buying experience, and increase sales.

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Printing Services
Space
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Analyse efficiently, save downlinking costs

Space
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Analyse efficiently, save downlinking costs

Stock Photography
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Easily identify relevant visuals for purchase

Stock Photography
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Easily identify relevant visuals for purchase

Video Services
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Moderate & manage video content with ease

Video Services
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Moderate & manage video content with ease

Press & Broadcasting
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Empower journalists with tagged visual archives

Press & Broadcasting
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Empower journalists with tagged visual archives

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Metadata Mastery

FREE training from the experts at Mobius Labs

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Dominic Rüfenacht - Head of Science | Co-founder bei Mobius Labs GmbH
Mobius Labs GmbH is receiving additional funding by the ProFIT program of the Investment Bank of Berlin. The goal of the ProFIT project “Superhuman Vision 2.0 for every application- no code, customizable, on- premise  AI solutions ” is to revolutionize the work with technical images. (f.e.) This project is co-financed by the European Fund for Regional Development (EFRE).

In the ProFIT project, we are exploring models that can recognize various objects and keywords in images and can also detect and segment these objects into specific pixel locations. Furthermore, we are investigating the application of ML algorithms on edge devices, including satellites, mobile phones, and tablets. Additionally, we will explore the combination of multiple modalities, such as audio embedded in videos and the language extracted from that audio.