Seldon predicts the future actions of consumers of media and e-commerce services across web, mobile and tablet.
Our scalable platform leverages behavioural, social, contextual and 1st/3rd party data to maximise the relevance of content and product recommendations to increase engagement and conversion. We use the industry leading big data and machine learning technologies to provide actionable insights and a scalable solution.
A team of data scientists based in London and Cambridge have been laying the foundations for Seldon since 2011.
After cutting our teeth building location-based recommendation apps, we focused on creating a high-performance personalisation platform to shape the next phase of digital experience in media and e-commerce.
We wanted to make it easy for developers to harness the power of machine learning algorithms in websites and applications to boost engagement and conversions whilst improving the user experience. At Seldon we prioritise long-term growth and deep engagement over quick revenue and clicks.
Seldon serves over 3 billion recommendations per month to an international audience. Each integration is unique, with algorithms and configurations fine-tuned to fit like a tailored suit. In-house data science teams demand flexibility to customise the algorithms and integrate the predictive data with their internal systems.
In 2015, we are launching an open source predictive platform – if you are interested in working with us to gain early access, we would love to hear from you.
Seldon is based out of Warner Yard, one of London’s most exciting tech co-working spaces home to some amazing start-ups, investors, and the TechStars incubator.
Alex has been building technology start-ups for over a decade. His passion lies in harnessing the power of machine learning to make the world a personal, productive and fun place. He is the creator of the Genome Laser, a project which sequenced the inventor of the laser and the inventor of high-speed genome sequencing, and blasted their genomes into space with an enormous laser.
Former Rocket Scientist, Clive is the CTO at Seldon and the brains behind the engine. He is the man who makes Seldon. Clive has spent the last few years developing Seldon’s algorithms and refines it on a daily basis.
VP Data Science
Phil is a software developer with a focus on the mathematical aspects of recommendation engines. He enjoys applying new and innovative techniques to tune the way Seldon works, as well as running around on a field trying to kick a ball.
Gurminder has extensive experience of building software products and services on a range platforms in the Games Industry and E-Commerce. His role at Seldon ensures that the services running on the backend systems maintain their high availability and continue to grow in innovative ways.
Miles has a fourteen year background in building digital businesses across start-up, growth and mature companies. As Head of Mobile at IPC Media, part of Time Warner and the largest magazine publisher in the UK, he set up the mobile business from scratch to running more than 45 mobile sites and Apps for brands, such as NME, Marie Claire and InStyle.
Working with early stage digital companies and start-ups, Barb advises CEOs and CMOs on corporate strategy, product commercialization and marketing strategies providing business development support to accelerate revenue.
Steve was involved with Internet in the UK before there was a commercial presence, Internet streaming from early days (1st UK Real Networks customer), and set-up the first Internet Dance Radio Station (Gaialive.com), also was involved with the 1st netcast of BigBrother (UK).
Claudio wrote his Master Thesis project on recommender systems and social networks at University College London. He also did a research internship on the same topic at the National Institute of Informatics in Tokyo. There is very little Claudio does not know about this subject…. he literally wrote the book on it.
We’re based at
8 Warner Yard
UK: +44 20 7193 6752
US: +1 646 397 9911