Seldon, a company specializing in machine learning infrastructure, has raised $20.0 million in new funding. Since its inception in 2014, Seldon has focused on developing global infrastructure that enables enterprises to manage the complexities of machine learning. Its platform empowers businesses to deploy, manage, and scale ML models with maximum flexibility, enhanced observability, and cost-efficient modularity, ensuring AI delivers tangible business impact.
The company's Seldon Core 2 platform introduces a data-centric approach, allowing businesses to confidently manage, monitor, and optimize the entire ML lifecycle. By prioritizing real-time deployment, standardization, and interoperability across various infrastructures, Seldon facilitates seamless scaling and integration with existing workflows. This approach is designed to remove barriers to the adoption and operationalization of machine learning at scale.
Global enterprises, including Capital One, Verizon, IKEA, and Volkswagen, rely on Seldon to power their AI-driven decisions daily while maintaining agility and cost efficiency. The company reports that its solutions deliver productivity gains of up to 92% and substantial savings in machine learning operational costs. Headquartered in London, Seldon supports a diverse international customer base.
Seldon plans to use the newly secured capital to accelerate product development, expand its global market reach, and scale its operational capabilities. This investment is intended to further enhance the company's ability to provide framework-agnostic, scalable, and real-time AI deployment solutions, supporting its mission to accelerate the adoption of AI across industries.
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