Seldon Technologies Ltd, a UK-based MLOps platform, has announced that it has raised $20 million in Series B funding to advance its data-centric approach to AI across its product suite.
The funding round was led by Bright Pixel, a venture capital firm that focuses on supporting technology startups in Europe, with participation from existing investors AlbionVC, Cambridge Innovation Capital, and Amadeus Capital Partners.
The company’s Founder and CEO, Alex Housley, stated that AI is now ubiquitous, and Seldon is uniquely positioned to ensure a return on ML investment by providing a robust, scalable, and secure infrastructure. Additionally, Seldon’s data-centric approach to ML pipelines prioritizes team collaboration across organizations, ensuring that teams can solve meaningful problems at scale by building trust in machine learning, even under the most intense regulatory conditions.
Seldon was founded in 2014 and has since developed a set of machine learning tools designed to simplify and accelerate the deployment and management of machine learning models. The platform transforms the process of deploying, monitoring, explaining, and managing machine learning models at scale. With its platform, Seldon has helped bring millions of unique ML models to production for hundreds of global enterprises, resulting in productivity gains of up to 92% and saving tens of millions of dollars on their machine-learning projects.
The company’s mission is to accelerate the adoption of ML to improve business performance and manage risk. Its current customers include PayPal, Johnson & Johnson, Audi, and Experian, among others. Seldon’s MLOps platform empowers data scientists, ML engineers, and other business stakeholders to accelerate the adoption of machine learning and is powering the full production lifecycle in some of the biggest organizations worldwide.
With the latest funding round, Seldon plans to build robust, scalable, and secure infrastructure for its MLOps platform, prioritizing team collaboration, and making sure teams can solve meaningful problems at scale while building trust in machine learning, even under the most intense regulatory conditions. Seldon aims to become the trusted MLOps partner of any organization worldwide.
