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Source the best visual content

Superhuman Vision streamlines the way companies find relevant creative content for clients and brands.

Creative Platforms

AI powered visual management

Connect users with perfect visuals, learn from client campaigns, identify client-platform interactions and discover visual assets to fulfill client requests easily.

Trend identification

Unique models learn from trends to source relevant content

Brand personalization

Analyze brand campaigns to deliver new, brand-consistent content

Reverse Image Search

Find aesthetically similar images with just 1 reference

Hear it from our customers

Creative Platforms

Streamline the way you find relevant creative content for your clients and brands.

Creative Platforms
Video Services
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Moderate & manage video content with ease

Video Services
Coming Soon

Moderate & manage video content with ease

Asset Management
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Visual data management made easy

Asset Management
Coming Soon

Visual data management made easy

Stock Photography
Coming Soon

Easily identify relevant visuals for purchase

Stock Photography
Coming Soon

Easily identify relevant visuals for purchase

Space
Coming Soon

Analyse efficiently, save downlinking costs

Space
Coming Soon

Analyse efficiently, save downlinking costs

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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.