Organisations want to build a one-to-one relationship with customers and make better decisions. But skilled data scientists are in short supply, and building machine learning in-house means reinventing the wheel instead of solving the parts of the problem that matter most.
Seldon is the open-source machine learning pipeline for real-time recommendations and enterprise-grade predictive analytics. It includes proven algorithms, industry models and a microservices API to productionize your own. Seldon is platform-agnostic with no lock-in. You keep full ownership and control of sensitive data on-premise or in the cloud.
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 recommendation engine. Our goal was to help media and e-commerce companies to build smarter and more personalised websites and apps, to boost engagement and conversion while improving the user experience.
We created Seldon to democratise machine learning, to make it easier for data scientists, developers and decision makers to harness the power of this transformational and revolutionary technology. Seldon serves billions of predictions per month to an international audience and our team works directly with some of the world’s largest organisations. Each integration is unique, with algorithms and configurations fine-tuned to fit like a tailored suit.
In February 2015, Seldon made its first open-source release. Since then it has grown to become one of the most popular machine learning platforms for the enterprise. Seldon is proud to be part of Barclays Accelerator powered by Techstars, working on some FinTech use cases with the support of some of the brightest minds in technology and finance.
Founder & CEO
Alex is a serial entrepreneur on a mission to establish the new open standard for predictive AI, to make the world a more personalised, productive and fun place. He is the co-creator of the Genome Laser, which sequenced the inventors of the laser and high-speed genome sequencing and blasted their DNA into space with an enormous laser.
Former Rocket Scientist, Clive is the CTO at Seldon and the brains behind the engine and co-author on numerous research papers. He was awarded a Ph.D. in Computational Linguistics and studied Speech & Language Processing at Cambridge University. Clive has spent the last few years developing Seldon’s algorithms and predictive platform.
Lee is a media and technology veteran with over 18 years of professional experience. He launched Association of Online Publishers as an independent organisation, where he served as Managing Director. Previous commercial roles include Microsoft, Lycos and Kelkoo. As commercial lead at Seldon, Lee is responsible for client development and go-to-market strategy.
Gurminder has extensive experience architecting highly scalable systems in the games, media and e-commerce industries in the UK and West Coast. His role at Seldon ensures that the services running on the backend systems maintain their high availability and continue to grow in innovative ways.
Machine Learning Engineer
Giovanni is a theoretical quantum physicist and data science expert with eight years experience in academic research. He received his Ph.D from the National University of Singapore, and has also carried out work in Italy, France, and the United Kingdom. Giovanni is highly skilled in mathematical modeling, numerical analysis of complex systems, analytic calculations, and problem solving in general.
Machine Learning Engineer
After 3 years working in research for a data-driven systematic hedge fund, Maxime got experience extracting predictive signals from huge financial datasets. He holds two master’s degrees; Engineering from the Ecole Centrale in Lyon and Mathematics from the University of Cambridge. His passion for machine learning doesn’t stop after work hours as he is also a Kaggle veteran.
Business Development Manager
Proven and consistent track record helping customers deploy algorithm-related products across industries to start-ups and large enterprise. Previously scaled ad-tech startup revenue from $4m to $60m p/a. Rugby player and coach.
Broad-ranging skillset from project management to design. MA in Innovation Management with experience organising the UK’s first Machine Learning Communities Leaders event.
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.