What is Logical Clocks?
Founded in 2016 and headquartered in Hägersten, Sweden, Logical Clocks is a specialized technology firm focused on the Data for AI segment. The company is the developer of Hopsworks, recognized as the world’s first Enterprise Feature Store for Machine Learning. By providing a unified platform that allows data scientists and engineers to manage features, develop models, and deploy them into production environments, Logical Clocks addresses the complex challenges of data governance and model lifecycle management. With a strategic presence in Stockholm, London, and Palo Alto, the company is well-positioned to serve a global enterprise client base, facilitating the transition from experimental AI projects to scalable, production-grade machine learning systems.
How much funding has Logical Clocks raised?
Logical Clocks has raised a total of $6.9M across 2 funding rounds:
Angel/Seed
$1M
Series A
$5.9M
Angel/Seed (2018): $1M with participation from Inventure
Series A (2021): $5.9M led by Industrifonden and Inventure
Key Investors in Logical Clocks
Industrifonden
A Swedish venture capital fund that invests in unique, scalable innovations aimed at improving society through breakthrough technologies and science.
Inventure
A Nordic-focused venture capital firm that partners with early-stage technology companies to provide the capital and strategic guidance necessary for international scaling.
What's next for Logical Clocks?
With the recent infusion of capital, Logical Clocks is poised to accelerate its product development roadmap and expand its market footprint. The focus will likely remain on enhancing the capabilities of the Hopsworks platform to meet the evolving requirements of enterprise data engineering teams. As the industry shifts toward more automated and governed AI workflows, the company is strategically positioned to capitalize on the demand for feature stores that ensure consistency and reproducibility in machine learning pipelines. Future growth will likely involve deepening its integration with cloud-native ecosystems and expanding its sales and support infrastructure to maintain its competitive edge in the rapidly maturing AI infrastructure market.
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