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Easily identify relevant visuals for purchase

Superhuman Vision recognizes new concepts in community photographs and strengthens keywording accuracy.

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Stock Photography

Superquick, reliable tagging

Precise keywording of visuals returns select, high-quality matches on stock photo platforms, thus promoting an increase in downloads and payment.

Reduced tagging time

Cuts image key-wording time by up to 50% of other solutions

Content discovery

Identifies visual content with high commercial value

Precise search results

Improved tagging accuracy shows relevant content to clients

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Stock Photography

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Stock Photography
Space
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Analyse efficiently, save downlinking costs

Space
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Analyse efficiently, save downlinking costs

Press & Broadcasting
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Empower journalists with tagged visual archives

Press & Broadcasting
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Empower journalists with tagged visual archives

Printing Services
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Next-gen, AI-powered customer experience

Printing Services
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Next-gen, AI-powered customer experience

Asset Management
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Visual data management made easy

Asset Management
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Visual data management made easy

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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.