Berlin-based Mobius Labs has closed a EUR5.2 million (~$6.1 M) funding settle the back of increased demand for its computer vision training platform. The Series An investment is led by Ventech VC, in addition to Atlantic Labs, PEAK Ventures, Space Capital, Lunar Ventures plus some additional angel financiers.

The start-up offers an SDK that lets the user produce custom-made computer vision designs fed with a little of their own training data– as an alternative to off-the-shelf tools which may not have the needed specificity for a particular use case.

It also flags a “no code” focus, stating its tech has been created with a non-technical user in mind.

As it’s an SDK, Mobius Labs’ platform can likewise be released on-premise and/or on-device– instead of the customer requiring to connect to a cloud service to take advantage of the AI tool’s energy.

“Our customized training interface is very easy to work with, and requires no prior technical knowledge on any level,” claims Appu Shaji, CEO and primary scientist.

“Throughout the years, a pattern we have observed is that often the people who get the maximum worth from AI are non-technical individuals like a content supervisor in a press and creative agency, or an application manager in the space sector. Our no-code AI permits anyone to build their own applications, hence enabling these users to get near their vision without needing to await AI experts or designer teams to assist them.”

Mobius Labs– which was established back in 2018– now has 30 customers using its tools for a range of usage cases.

Uses include categorisation, recommendation, forecast, minimizing functional expenditure, and/or “usually connecting users and audiences to visual content that is most relevant to their requirements.” (Press and broadcasting and the stock photography sector have unsurprisingly been big focuses to date.)

However it reckons there’s larger utility for its tech and is preparing for development.

It accommodates organizations of numerous sizes, from startups to SMEs, but says it generally targets worldwide business with major material challenges– hence its historic concentrate on the media sector and video utilize cases.

Now, however, it’s also targeting geospatial and earth observation applications as it looks for to broaden its customer base.

The 30-strong startup has actually more than doubled in size over the last 18 months. With the new funding it’s planning to double its headcount again over the next 12 months as it looks to expand its geographical footprint– focusing on Europe and the U.S.

Year-on-year growth has actually also been 2x but it believes it can dial that up by taking advantage of other sectors.

“We are dealing with industries that are abundant in visual information,” says Shaji. “The geospatial sector is something that we are focussing on presently as we have a strong belief that vast amounts of visual data is being produced by them. However, these big archives of raw pixel data are worthless on their own.

For instance, if we want to track how river fronts are broadening, we need to take a look at information gathered by satellites, sort and tag them in order to evaluate them. Currently this is being done by hand. The innovation we are creating comes in a light-weight SDK and can be deployed directly into these satellites so that the raw information can be discovered and after that analysed by artificial intelligence algorithms. We are currently dealing with satellite companies in this sector.”

On the competitive front, Shaji names Clarifai and Google Cloud Vision as the main rivals it has in its sights.

“We realise these are the big players however at the exact same time believe that we have something unique to offer, which these players can not: Unlike their solutions, our platform users can be outside the field of computer system vision. By democratising the training of artificial intelligence models beyond just the technical crowd, we are making computer vision accessible and understandable by anyone, no matter their job titles,” he argues.

“Another core worth that distinguishes us is the way we treat customer information. Our solutions are delivered in the kind of a software application advancement kit (SDK), which runs on-premise, totally locally on customers’ systems. No data is ever sent back to us. Our role is to empower people to construct applications, and make them their own.”

Computer system vision start-ups have been a hot acquisition target in recent years and some earlier startups offering “computer system vision as a service” got gotten by IT services firms to beef up their existing offerings, while tech giants like Amazon and (the abovementioned) Google provide their own computer vision services too.

But Shaji recommends the tech is now at a different phase of advancement– and primed for “mass adoption.”

“We’re speaking about offering services that empower clients to build their own applications,” he says, summarizing the competitive play. “And [do that] with total data personal privacy, where our solutions run on-premise, and we do not see our customers information. Paired with that is the ease of use that our technology uses: It is a lightweight service that can be deployed on numerous ‘edge’ gadgets like smartphones, laptop computers, and even on satellites.”

Commenting on the financing in a statement, Stephan Wirries, partner at Ventech VC, added: “Appu and the group at Mobius Labs have actually developed an exceptional offering in the computer vision space. Superhuman Vision is impressively ingenious with its high degree of accuracy regardless of extremely restricted needed training to acknowledge new things at exceptional computational effectiveness. We believe markets will be transformed through AI, and Mobius Labs is the European deep tech innovator teaching devices to see.”