- Early StageStartup in initial stages
- Website
- Location
- Company size
- 11-50 people
- Total raised
- $244K
- Company type
- Private Company
- Markets
MediaGamma careers
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.
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
Professor in UCL on Machine Learning and its applications in Computational Advertising, Big Data Analytics, Information Retrieval, and Personalization.
Rael Cline
Cambridge Finance, Co-Founder of AppChat
Total raised
$244K
Funded over
1 round
Latest round
Seed (Apr 2015)
LINK • Pune • ₹13L – ₹32L • 0.01% – 0.05% • 1 week ago
Fynd • Bengaluru • ₹15L – ₹35L • No equity • 2 weeks ago
Matterport • United States • $142k – $222k • 2 weeks ago
Axiom Zen • Canada • 2 weeks ago
SoundHound • United States • 3 weeks ago