Hopsworks builds an operational AI platform centered on a Python-centric enterprise feature store that centralizes and governs the data used in AI models to enable real-time AI. The company offers managed deployments on AWS, GCP, and Azure, a self-managed version for any data center, and a serverless feature store at app.hopsworks.ai. Hopsworks reports early enterprise customer traction with named customers including American-First Credit Union, PaddyPower‑Betfair, and the Swedish Public Employment Service. The platform targets data scientists and engineers to manage features and develop and deploy models in production. The company has offices in Stockholm, London, and Palo Alto and emphasizes a strong engineering team based in Stockholm. Proceeds from the recent funding will be used to expand commercial operations, strengthen the US presence, and further advance the company’s technology. Logical Clocks develops Hopsworks, described in the article as the world’s first Enterprise and open-source Feature Store combined with an end-to-end machine learning platform. The product offers managed deployments on AWS and Azure and a self-managed version for any data center. Hopsworks provides low-latency access to features, real-time calculated data, and data provenance and governance to help teams move models to production. The platform is available as an open-source tier for individuals or small organizations and an Enterprise tier with advanced security for production use at scale. Hopsworks is already running in production at customers including PaddyPower-Betfair, Getinge, and Swedbank. The company plans to use new funding to expand its commercial operations and footprint, particularly in the US. Logical Clocks co-develops the open-source Hops Hadoop platform alongside KTH Stockholm and RISE SICS AB and provides enterprise support for Hopsworks, the company's data and AI platform. Hopsworks is presented as a user-friendly platform for data science that builds end-to-end pipelines to refine raw data into production-ready models. The platform includes what the company calls the industry's first enterprise feature store, plus features for generating training data, experiment versioning for repeatable data science, and model management. Logical Clocks aims to help enterprises transform on-premises and cloud data into intelligence. The company has raised a €1.25 million funding round from Inventure, Frontline Ventures, and AI Seed. Timo Tirkkonen of Inventure will join the startup's board as chairman.

Total raised

$14M

Funding rounds

3

Latest round

Equity

Latest activity

Jun 2023