Danish MarTech JumpStory raises $1M and launches AI feature

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Jumpstory, the Netflix of images, rolls out AI-powered image search and success prediction tools after securing $1 million investment
The platform, which features a Netflix-style subscription model, uses AI to find authentic images and videos based on written marketing content and predicts how images will perform, saving marketers time

JumpStory (was established in 2018, an international team of 16 based in Aarhus, Denmark) – a revolutionary AI-based digital content platform, has released its AI-powered search and success prediction tools in 40 new languages, bringing their platform one step closer to its goal of using technology to make it as easy as possible for storytellers to find the perfect image.

“The stock image industry is outdated, overpriced and overcomplicated. It seems to be more about uploading millions and millions of visuals rather than about their impact. At JumpStory we are entrepreneurs and marketers by heart, and we know that both groups spend way too much time searching for authentic images.

We want to solve their problem by making it super easy to find authentic visuals – and at the same time helping out with predicting which photos will actually create the desired results”

explains Jumpstory’s co-founder Jonathan Low
Jonathan Low and Anders Thiim

“We’ve rethought the entire process from scratch, and are applying AI in order to simplify and improve the experience. Matching images with texts automatically, and in an intelligent way, is one element of this.

Using AI to filter out the more fake-looking photos and instead giving them more authentic visuals is also valuable to marketers. These tools are enabling storytellers in 80 countries to find images more quickly and efficiently.”

JumpStory’s platform is characterised not only by its AI-powered search tools, but also by the authenticity of the content itself. Traditional stock image providers like Shutterstock and iStock typically offer sanitised images featuring picture-perfect models.

JumpStory, in contrast, provides images that look and feel natural, and feature real people of all ages and appearances: https://jumpstory.com/authenticity/ Not only does this provide marketers with realistic images that will resonate with their audiences, it also helps to challenge pervasive norms about body image and appearance.

Once marketers have found authentic images that they like, JumpStory’s HighJumper feature helps them to further narrow down their search in seconds. For this tool, the AI is being trained in neuromarketing – how images work on our brains and how the eye perceives visual content. It uses this to analyse the contrast, colours and emotions in an image, then predict how well it will perform.

The intention is that as JumpStory’s AI tools learn, they will get to know customers well enough to match authentic images with their specific brand and audience in the best possible way and in a matter of seconds.

The JumpStory team are also working to integrate the platform into other MarTech tools and platforms so that storytellers can source the images they need without having to leave the application they are working in. A number of important integrations are planned for 2020.

Team

Jumpstory aims to disrupt the $3 billion industry with its AI-powered subscription platform, using neuromarketing principles and a ‘works where you do approach’ which sees it integrate with other MarTech software and platforms so marketers can search, edit and use images directly. JumpStory operates an unlimited subscription model, which makes the image sourcing both simpler and more affordable.

The rolling out of JumpStory’s AI features in 40 new languages marks the beginning of a busy 2020 for the company. It is further developing the AI capabilities of its platform, improving its bias filter to ensure a fairer representation of images for particular searches, and refining its editing tool. But the overall focus remains unchanged – to use MarTech to enable storytellers to find just the right image or video in seconds.