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Home Featured

Mobius Labs raises $6M to help more sectors tap into computer vision

Mobius Labs will utilize its customized user interface is incredibly simple to handle and requires no prior technical expertise at all levels.

by Editorial Team
in Featured, Funding, News-Curated
Reading Time: 5 mins read
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Mobius Labs
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  • Main Highlights
  • Mobius Labs’ Competitors
  • Mobius Labs’ Goal

Main Highlights

  • The funding round of €5.2 million (~$6.1 million) was concluded by Berlin-based Mobius Labs to supplement the growing demand for its platform for computer vision training.
  • It also focuses on ‘no coding,’ as its technology was developed for a non-technical user.
  • Mobius Labs licenses lightweight state-of-the-art techniques for computer vision, enabling the edge to be truly visual.
  • Mobius Labs is designed to investigate the marvels and mysteries of visual AI with enthusiasm and scientification.

Mobius Labs concluded its funding round, raising €5.2 million (~$6.1 million). The Berlin-based startup will utilize the funds to supplement the growing demand for computer vision training on its platform. Ventech VC, APEX Ventures, Space Capital and Lunar Ventures together with a number of other Angel investment companies lead the Series A investment.

In order to construct unique computer vision models supplied with a little of your own training data — as an alternative to off-the-shelf technologies that do not have the exact characteristics necessary for a particular application, the startup offers an SDK. It also focuses on ‘no coding,’ as its technology was developed to a non-technical user.

As an SDK, a platform for Mobius Labs may also be implemented at the premise and/or on the device, instead of connecting to a cloud service to tap on the AI tool. Appu Shaji, CEO and Chief Scientist, says that “our customized user interface is incredibly simple to handle and requires no prior technical expertise at all levels.”

“Over the course of years, a pattern we have seen has been that individuals who are frequently the highest value from AI are non-technical professionals such as a media and creative agency content manager or a space application manager,” he said. It’s no-code AI makes it possible for everyone to build their own apps, allowing users to approach their vision without waiting for AI specialists or programming teams to support them.

Mobius Labs – established in 2018 – already employs 30 customers for a range of use cases utilizing its products. Mobius Labs lets you keep photos and videos on a personal device, i.e. the edge, and manage them. Mobius Labs licenses lightweight state-of-the-art techniques for computer vision, enabling the edge to be truly visual.

To comprehend pictures and video, mobius laboratories create market leadership computer vision technologies. Its unique technology enables companies worldwide to expand, automate and improve the way they operate with visual material. Their technology, which is licensed as an SDK, works smoothly, and easily integrates with any company processes.

Human vision is the basic capacity of perceptions that allows people to collect fresh views, to organize and to understand the world. It comprises news, browses social interactions, records memories and expands the breadth of human understanding via visual media.

‍Their solution employs state-of-the-art AI technology to increase vision and make it faster and more efficient for users to get the correct visuals. Mobius Labs is designed to investigate the marvels and mysteries of visual AI with enthusiasm and scientification. It is their playground and every day brings them to new boundaries, the junction between humans and technology.

Artificial Intelligence 1

Appu Shahji, the creator of Mobius Labs, explains: categorization, recommendations, projections, operating expenditures reduction, and/or “basically linking users and audiences with the visual material that fits their requirements.” 

It is aimed at companies of different sizes, from start-ups to small and medium-scale companies, but particularly targets multinational companies with substantial issues to content—hence its history in the media and video applications. Now, though, it aims to broaden its client base to include geospatial and earth observation applications as well.

Over the previous 18 months, the 30-strong startup has more than doubled. With the additional financing, it intends to quadruple its staff over the next 12 months as its global presence continues to expand — with an emphasis on Europe and the US. Year after year growth has also increased 2 times, but it hopes that by accessing other industries it can ratchet it up.

“We work with visually rich sectors,” Shaji explains. The geospatial industry is something they are concentrating on today, because they strongly believe that they create enormous quantities of visual data. But these enormous raw pixel data files themselves are worthless.

For example, if you want to watch how river fronts grow, you need to look at satellite gathered data, sort and tag it in order to analyze them. It’s done manually at the moment. The technology they produce is a lightweight SDK which can be used directly in these satellites to identify and analyze raw data using machine learning techniques. They may then use this technology. Currently they are working in this field with satellite firms.

Mobius Labs’ Competitors

Shaji calls Clarifai and Google Cloud Vision the major competition on the competitive front. “It is the major companies that we realize, but at the same time we feel we have something unique that these players cannot offer: our platform users cannot be out of computer vision unlike their solutions,” he argued. By democratizing master-learning models beyond the technical population, computer vision is accessible and intelligible to everyone, irrespective of the titles of their jobs.

A ProFIT award supports the scientific activities of Mobius Labs. The funding supports the development of a self-cleaning system and a federated learning platform focusing on low-level learning, cooperation and privacy. The European Regional Development Fund (EFRE) co-finances this initiative.

Mobius Labs funding

Superhuman Vision implies that hundreds of pictures and movies are instantaneously transformed into insight, experience and advantage. The technology from Mobius Labs overloads visual searches with a knowledge of a picture or video and automatically creates metadata for it. Superhuman Vision will also provide the capacity to quickly interpret and evaluate pictures, video recordings and actual living scenarios for cutting-edge technologies (such laptops and smartphones). They seek to develop advanced technology that enables everyone to interact in ground-breaking ways with the media. 

Mobius Labs’ Goal

This computer view may be used by non tech people as well to train extremely little amounts of data, deploy to advanced devices and allow companies to seize marketplaces where photos or videos are to be analysed. You think Vision is a power. Its aim is to include Superhuman Vision in any application, equipment or process, therefore providing you an unassailable competitive benefit.

The way customer data are processed is a further fundamental value that separates them. Their solutions are supplied in the form of a comprehensive, locally operated software development kit (SDK). They never receive any data. Its role is to empower and make people their own apps.

Stephan Wirries, a Ventech VC partner, comments on the financing in a statement: “Appu and the Mobius Labs team have built a unique proposition for computer vision.” Despite a very little training to recognize new items with outstanding computing efficiency, Superhuman Vision is remarkably creative with its high level of accuracy. They think sectors will be revolutionized by AI, and Mobius Labs is the European deep technology innovator to witness.

mm

Editorial Team

We at Appedus are a group of digital nomads aggregating, writing, and publishing the best of the tech news in the mobile app ecosystem. Our constant endeavor is to get the most actionable news for you to use.

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