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Moderate & manage video content with ease

Superhuman Vision processes videos 15x faster than real-time, reducing workflows and protecting audiences.

Video Services

Fully automated solutions

Technology that accurately moderates videos and identifies key video highlights to speed up lengthy processing steps.

High performance moderation

Moderate videos using 10k pre-defined, customizable concepts

Identify highlights

Segment videos by highlight scores to identify crucial scenes

Processing made easy

Swiftly create promo or summary videos from auto highlights

Hear it from our customers

Video Services

Swiftly moderate all your videos to remove all unwanted content with groundbreaking accuracy.

Video Services
Stock Photography
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Easily identify relevant visuals for purchase

Stock Photography
Coming Soon

Easily identify relevant visuals for purchase

Asset Management
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Visual data management made easy

Asset Management
Coming Soon

Visual data management made easy

Printing Services
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Next-gen, AI-powered customer experience

Printing Services
Coming Soon

Next-gen, AI-powered customer experience

Press & Broadcasting
Coming Soon

Empower journalists with tagged visual archives

Press & Broadcasting
Coming Soon

Empower journalists with tagged visual archives

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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.