Mobius Labs Logo
Contact a Mobian

We’d love to hear from you!
Drop us a message and we’ll get back to you soon.

Empower journalists with tagged visual archives

Superhuman Vision's automatic, in-depth image tagging lets journalists focus more on reporting.

Try demo
Press & Broadcasting

Analyzes everything

Super-quick and accurate tagging of visuals with objects, faces, concepts. Even identifies and tags abstract emotional content of a photograph.

Tags in milliseconds

Automatic tagging while importing to your archive

Recognizes emotions

Identifies more than just objects and people

Runs locally

An SDK which seamlessly integrates with the DAM platform

Hear it from our customers

With 100 million+ images and thousands of daily submissions, ANP journalists were struggling to manage their content archive. Our AI eased this process.

Read more
Press & Broadcasting

Download the pdf
Arrow pointing right
Press & Broadcasting
Space
Coming Soon

Analyse efficiently, save downlinking costs

Space
Coming Soon

Analyse efficiently, save downlinking costs

Asset Management
Coming Soon

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

Video Services
Coming Soon

Moderate & manage video content with ease

Video Services
Coming Soon

Moderate & manage video content with ease

By clicking “Accept”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Privacy Policy for more information.
DenyAccept

Do you have questions?
Drop a message.

Contact us
Arrow pointing right

Metadata Mastery

FREE training from the experts at Mobius Labs

Short videos  |  Webinars  |  Exclusive Previews  
Find out more
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.