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Editshare - Enhancing EditShare’s flow media asset management with Automated AI

Editshare - Enhancing EditShare’s flow media asset management with Automated AI


AI that promotes commercialization

June 5, 2023
February 28, 2022
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Descriptive AI Metadata™ technology that unlocks new commercial opportunities and optimizes processes

Convert more of your images and media into sales with best-in-class computer AI Metadata technology

Photography and video offer a wealth of commercial opportunities. But how do you unlock the maximum value from this content?

And how do you ensure that new media management technologies, including AI, increase efficiency and don’t add to the operational burden?

This is exactly the challenge that Mobius Labs solves with its Descriptive AI Metadata™ technology. Based on advanced algorithms, we make it easier to surface content that matches the buying behavior of customers, triggering a higher rate of sales and conversions.

We help you stay on top of costs as well. Unlike other metadata solutions, our lightweight SDK can be deployed on local servers, laptops and even smart phones. No expensive hardware or cloud contracts required.

Productivity also gets a boost. The streamlined Mobius Labs interface is designed to be used out of the box by business users, reducing dependency on data science and software engineering specialists.

We also offer a flexible range of licensing packages that match the business models of our customers, from high-powered start-ups in the media space, to well-established photo and image libraries.

Improve content discovery while reducing the time to create new revenue streams.

Increase image sales conversions by returning more accurate results

Automatically tag photographs in milliseconds, using keywording that can recognize over 6,000 objects, emotions and actions. With more precise and consistent tagging, you can increase the relevancy of photos retrieved by client searches.

Boost staff productivity

Accurate, automatic tagging means that editors and creatives spend little or no time entering data, and can focus on core activities that add value to the organization.

Reduce dependency on AI and data science resources

By introducing few-shot training and a no-code interface, knowledge workers can train Mobius Labs algorithms quickly and accurately without specialist assistance.

Seize revenue opportunities before they disappear

In today’s 24 hour, real-time news cycles there’s little room for delay when a story breaks. Easy to use, Mobius Labs enables you to find, tag and surface newsworthy content that customers can acquire for articles, photo-stories and social media posts.

Deploy cutting-edge AI on cost-effective hardware

The Mobius Labs SDK is designed for deployment on edge devices from creative studio desktops to laptops and smartphones. There’s no need to call on expensive server and cloud hardware to run state-of-the-art computer vision in your organization.

AI-powered insights that revolutionize the user experience and increase conversions

The technology behind our solutions may be complex, but the math is simple. By increasing customer conversions and lowering operating costs we boost the profitability of digital for our customers across a range of business and commercial settings including Digital Asset Management (DAM) Video & Broadcasting, Press and Stock Libraries

Descriptive AI Metadata enables customers to prioritize valuable content with automatically curated galleries, flag images with the highest licensing potential, and filter out irrelevant content. Mobius Labs also profiles clients by analyzing historic purchases and unique interactions. Users then get automatic recommendations based on their specific needs.

To find out what Descriptive AI Metadata from Mobius Labs could do for your profitability, simply click here to request a 30 minute no obligation demo.

Customer details
Written by
Peter Springett
Edited by
Trisha Mandal
Illustrated by
Xana Ramos

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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.