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World-class AI experts who help digital professionals understand user behaviour11-50 Employees
  • Early Stage
    Startup in initial stages
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World-class AI experts who help digital professionals understand user behaviour
There is massive potential for growth if machine learning algorithms can deliver personalised digital ad campaigns.

Every day, viewers are exposed to 360 digital ads. Meanwhile, engagement rates are just 0.05%. This is a huge disparity between quantity of ads delivered, and quality of targeting.

The solution is personalised, targeted ads, which are proven to improve engagement by 54%, and can add 30% value across the advertiser/publisher value chain.

The challenge however is sheer volume. Personalisation and scale don't mix well. So, most campaigns don't use these techniques because they are too labour-intensive to produce and simply do not work in real time.

We want to bridge that gap. We're complementing our bid management technology with deep-learning techniques such as Generative Adversarial Networks (GANs) which create personalised images or text. Through this, we aim to be the first to generate, completely automatically, entire targeted, personalised creative campaigns.
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Dr. Jun Wang
Avatar for Dr. Jun Wang
Professor in UCL on Machine Learning and its applications in Computational Advertising, Big Data Analytics, Information Retrieval, and Personalization.
Rael Cline
Avatar for Rael Cline
Cambridge Finance, Co-Founder of AppChat
Total raised

$244K

Funded over

1 round

Latest round

Seed (Apr 2015)

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