
Hopsworks, originating from academia and the open-source community, is a pioneering platform for data and AI, founded in 2017. It seamlessly integrates data science, data engineering, and machine learning into a cohesive environment, functioning as an AI Lakehouse. This modern infrastructure supports AI and ML workloads, simplifying model deployment and providing a structured approach to building and maintaining AI systems. The platform offers an advanced Feature Store for managing and reusing data for AI, an MLOps Platform for governing and deploying AI, GPU management for optimizing AI performance, and support for Sovereign AI with full data control. Hopsworks enables companies to tailor and accelerate their AI journey, ensuring smooth model development, production, and deployment across cloud, on-premises, or hybrid environments.

Hopsworks, originating from academia and the open-source community, is a pioneering platform for data and AI, founded in 2017. It seamlessly integrates data science, data engineering, and machine learning into a cohesive environment, functioning as an AI Lakehouse. This modern infrastructure supports AI and ML workloads, simplifying model deployment and providing a structured approach to building and maintaining AI systems. The platform offers an advanced Feature Store for managing and reusing data for AI, an MLOps Platform for governing and deploying AI, GPU management for optimizing AI performance, and support for Sovereign AI with full data control. Hopsworks enables companies to tailor and accelerate their AI journey, ensuring smooth model development, production, and deployment across cloud, on-premises, or hybrid environments.
What they do: Enterprise feature store and end-to-end, cloud-native ML platform (Hopsworks) for feature engineering, MLOps, and model deployment
Founded: 2016 (company formation from KTH/RISE researchers); Hopsworks product origin 2017
Deployment: Offered open-source and as a managed cloud service supporting AWS and Azure; integrates with Databricks, SageMaker, Kubeflow
Key tech: Feature Store, MLOps platform, GPU management, support for Spark/Python/Flink workloads
Funding: Raised across Seed, Series A and Series B; latest Series B on 2023-06-29
Operationalizing machine learning at enterprise scale (feature engineering, model governance, deployment, and reproducibility).
2017
Machine Learning Infrastructure / MLOps
1.25 million EUR
Seed round participants included Frontline Ventures and AI Seed
“Includes institutional investors such as Inventure (seed), Industrifonden (Series A), and Vendep Capital (Series B)”