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Converting data streams to revenue streams: #worldclassAI

In a data-rich world where AI is a 'must have', we're a world-class AI spin-out from University College London, one of the premier global centres of computing science academic excellence.


Advertising products

We help advertisers optimise against metrics such as Customer Acquisition Cost (CAC) and Lifetime Value (LTV), by finding audiences and engaging with them; and publishers to optimise revenue and yield, by building audiences and monetising them.


User Response Rate Estimation

Advertisers waste money if they reach the wrong audiences. Our world-class Real-time Bidding (RTB) product estimates the probability of a user taking an action that the client specifies, for example clicking, installing, registering, or purchasing. Demand-side Platforms (DSPs) see on average a 30% reduction in customer acquisition costs.


Bidding Optimisation

Paying the right price for an ad impression is paramount, especially when billions of impressions are made every day. We have built the industry’s first bid price optimisation tool which ensures clients pay the right price for the right impression. This is especially powerful when combined with the User Response Rate Estimation tool.

Audience Lookalike Modeling

Marketers are always looking to expand their audience base. We can do this by creating lookalikes based on their current audience profiles. Our machine learning algorithms deliver desktop and mobile audience lookalikes at scale with over 90% accuracy. 


Audience Extensions

We provide publishers with the data science to maximise revenue while giving them the tools to build their own data management platform (DMP) solutions.


Floor Price Optimisation

Maximising yield across ad inventory is the prime aim for online publishers, but it takes into account many complex factors. Our price optimisation product is dynamic, working in real-time to achieve this objective - an industry first.


In a data-rich world where AI is a ‘must have’, we are world-class AI experts who help digital professionals understand user behaviour.

We are a spin-out from a premier global centre of computing science academic excellence, University College London.

Our core team is taken from the top performers in the UCL computer science faculty. We maintain strong links with UCL, as Prof. Jun Wang is Chair Professor of Data Science, and we also sponsor PhDs, hire interns, and conduct joint research with UCL.


Rael Cline
Co-Founder, CEO

Rael holds a Masters in Finance from Cambridge Judge Business School. He co-founded South Africa's third mobile virtual network operator.

Nicole Amirpour

Prof. Jun Wang
Co-Founder, Chief Scientist

Jun is Chair Professor of Computer Science at UCL. He has published over 100 research papers and has over 15 years' experience in industry consultation.

Terry Liu

Victor Malachard
Executive Chairman

Victor is an industry-leading entrepreneur specialising in ad tech and machine learning.

Linda Jenkins

Dr. Shuai Yuan
VP of Data Science

Shuai has a PhD in Computer Science from UCL. He was part of the team which won the first global real-time bidding (RTB) algorithm contest.

Catherine Cho

Allan Brisbane
VP of Engineering

Allan has twenty years experience  in software engineering, across numerous start-ups and high traffic systems.

Fred Scott

Thomas Marks
Senior Developer

Thomas has a first-class MEng in Electronic Engineering and Business, and is Organiser of the Wilmington Web Dev Meetup.

Nicole Howard

Katherine Grover
Finance Director

Katherine is a Chartered Accountant with many years of experience managing the finances of dynamic, high growth companies.

John Smith

Andreas Gompos
Data Scientist

Andreas has an MSc in Data Science from UCL, and in Chemical Engineering from the University of Athens.


Christian Espinoza
Senior Software Engineer

Christian is a lifelong learner with a vast experience in software engineering.  He has an electronic, industrial and computer science engineering background



Karen Tait
Executive Assistant

Karen is a determined and proactive Executive Assistant with years of experience helping CEOs, Managing Directors and Senior Executives stay on track.


Fangzheng Hu
Data Scientist

Fangzheng has a MSc in Web Science and Big Data Analytics from UCL, and is passionate about applying state-of-the-art machine learning techniques.


Guanyu Tao
Data Scientist

Guanyu has a MRes in Web Science and Big Data Analytics from UCL. He has published three research papers, and has five years of data science work and research experience.

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Alexander Cowen-Rivers
Research Engineer

Alex’s master project was on Neural Variational Inference for Embedding Knowledge Graphs. He likes applying state-of-the-art natural language processing, reinforcement learning and deep learning methods to solve business problems.

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Francisco Silverio
Software Engineer

Francisco holds a MSc in Electrical and Computer Engineering from Instituto Superior Técnico. He has professional experience in computer vision, video streaming, implementing cloud solutions and big data solutions.

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Robert Cowie
Senior Software Engineer

Rob gained a BSc in Microbiology before switching to software engineering. With over 12 years experience working at a range of small to medium tech companies his recent focus is on robust systems to support data-science led workflows.



We’re a world-class AI spin-out from a premier global centre of computing science academic excellence, University College London.

In the latest Research Excellence Framework (REF) evaluation in 2014, UCL was ranked first place for Computer Science, out of 89 universities assessed, and well ahead of other institutions. 61% of its research work is rated as world-leading (the highest possible category) and 96% of its research work is rated as internationally excellent.

We’re proud of our world-class credentials, consistently presenting our breakthrough research at prestigious international conferences and journals, and winning awards in the process. Below are just some of the white papers produced by our team.

Converting data streams to revenue streams: #worldclassAI

Bidding Algorithm 
Unifying  user response prediction, bid landscape forecasting and bidding strategy to double campaign ROI

Lookalike Modelling 
Using a novel 'doc2vec' model to improve the accuracy of lookalike models

Deep Learning to Estimate User Clicks/Conversions 
Area Under the Curve (AUC) metric to measure click-through rate (CTR) performance

Feedback Control of Real Time Bidding 
Stabilising Effective Cost Per Click (eCPC) while increasing click-through rate (CTR)

Real Time Bidding (RTB) Technical Monograph 
Overview of datasets and research problems

Audience Lookalike Modelling 
5.5% increase in click-through rate (CTR) performance

Optimising Cost per Action (CPA)
Up to 32% ROI for advertisers

Probabilistic Recursive Reasoning
Introducing a probabilistic recursive reasoning framework for multi-agent reinforcement learning.

Display Advertising Options
Revenue increase of 40% for publishers

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