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.

We are Mobians

AI experts and enthusiasts who make innovative computer vision technology accessible for everyone.

Watch our video
2018
founded
€8.8
million in funding
20
nationalities

Our Story

A Berlin-based, fun-loving set of geeks who are passionate about giving machines a human-like power of perception.

We believe in a remote-first work culture, with Mobians working from different countries around the globe including the US, Germany, Portugal, India, and more.

Read more
Making science simple

AI technology should be accessible, usable & trainable by everyone. And we do just that.
‍

Creating a safe-place

We believe in a thoroughly inclusive work culture where everybody feels at home.

‍

Local (but) global

With our HQ based in Berlin, and teammates from 20 different countries.
‍

More than 30 companies
trust us globally.

Life at Mobius

Whether it's from your living-room work station or at our HQ in Berlin, we interact, collaborate, and make things happen on-the-go.

Join us
Arrow pointing right

Do you have questions?
Drop a message.

Contact us
Arrow pointing right
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
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.