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London Tech Week

Seldon gears up with $20M to help businesses accelerate adoption of machine learning

Image credits: Seldon

Seldon, a London-based data-centric machine learning operations (MLOps) platform, has secured a $20M Series B funding round led by new Portuguese investor Bright Pixel (former Sonae IM) with participation from existing investors AlbionVC (backed Ophelos), Cambridge Innovation Capital, and Amadeus Capital Partners. 

The funding will help Seldon expand its machine learning product’s market fit and unlock enterprise-ready solutions based on open source. 

“AI is in everything, and Seldon is uniquely positioned to ensure a return on ML investment by providing robust, scalable, and secure infrastructure, pioneering a data-centric approach to ML pipelines, prioritizing team collaboration across the organization, and making sure teams can solve meaningful problems at scale by building trust in machine learning, even under the most intense regulatory conditions. says Alex Housley, Seldon’s Founder, and CEO. “We’re excited to bring together new investor Bright Pixel Capital and our existing partners, who believe in our vision and can help us become the trusted MLOps partner of any organization worldwide.”

Why Seldon?

Currently, numerous companies are investing a lot of resources into artificial intelligence, but they are having difficulty expanding their models for practical use. 

This is due to bottlenecks in team workflows, increased regulation and compliance restraints, a lack of trust in model outputs, and ensuring peak model performance are all top of mind for AI-powered enterprises. 

Here’s where Seldon helps Data Scientists, ML Engineers, and other stakeholders in the company to quickly and efficiently adopt machine learning to address these challenges.

Helps teams to manage their ML models

Founded in 2014, Seldon is a data science and machine learning operations platform that aims to empower Data Scientists, ML Engineers, and MLOps teams to deploy, monitor, explain, and manage their ML models. 

With Seldon, organisations can minimise risk and drastically cut down time-to-value from their models. 

The UK company offers both an open-source framework, “Core,” which focuses on model deployment, and an enterprise product, “Deploy Advanced,” which builds on this functionality to power model monitoring, explainability, and management. 

Seldon claims that it has achieved a 400% YoY growth rate in its open-source frameworks installed and running since its series A in November 2020. 

“Seldon has differentiated itself by presenting a unique solution that can reduce the friction for users deploying and explaining ML models across any industry. This means more productivity for its clients, and faster time-to-value combined with governance, risk, and compliance capabilities. Its potential is invaluable,” says Pedro Carreira, Director at Bright Pixel. “We are proud to join Seldon’s team, as well as other investors, and help the company enter its next phase as a business.” 

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