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Next-gen, AI-powered customer experience

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

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

Hear it from our customers

Printing Services

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

Printing Services
Press & Broadcasting
Coming Soon

Empower journalists with tagged visual archives

Press & Broadcasting
Coming Soon

Empower journalists with tagged visual archives

Stock Photography
Coming Soon

Easily identify relevant visuals for purchase

Stock Photography
Coming Soon

Easily identify relevant visuals for purchase

Creative Platforms
Coming Soon

Source the best visual content

Creative Platforms
Coming Soon

Source the best visual content

Asset Management
Coming Soon

Visual data management made easy

Asset Management
Coming Soon

Visual data management made easy

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Metadata Mastery

FREE training from the experts at Mobius Labs

Short videos  |  Webinars  |  Exclusive Previews  
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.