What is Logical Clocks?
Founded in 2016 and headquartered in Hägersten, Sweden, Logical Clocks is dedicated to building Hopsworks, recognized as the world's first Enterprise Feature Store for Machine Learning. With a mission to democratize machine learning for businesses globally, the company provides essential tools for data scientists and engineers. These tools facilitate the management of features and streamline the development and deployment of models into production environments. Logical Clocks operates with a strategic presence, maintaining offices in Stockholm, London, and Palo Alto, positioning itself to serve a broad international market.
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 Inventure and Industrifonden
Key Investors in Logical Clocks
Inventure
Inventure is a venture capital firm that typically invests in early-stage technology companies, focusing on disruptive innovations and scalable business models. Their investment in Logical Clocks suggests a belief in the company's foundational technology and market potential within the AI and data science landscape.
Industrifonden
Industrifonden is a Swedish venture capital fund that invests in unique, scalable innovations aimed at improving society through breakthrough technologies and science. The fund focuses on areas such as deep tech, life sciences, and transformative tech, partnering with passionate founders to bring their ideas to life. With a commitment to long-term support, Industrifonden backs transformative ventures that have the potential to change industries or create entirely new ones. Their portfolio includes companies in various sectors, including biotech, telecom, and sustainable manufacturing.
What's next for Logical Clocks?
The substantial enterprise-level capital infusion positions Logical Clocks for accelerated expansion and product development. This strategic backing is expected to fuel advancements in their Enterprise Feature Store technology, enhancing capabilities for managing machine learning features and operationalizing models. The company is likely to focus on scaling its operations, expanding its market reach, and further solidifying its position as a leader in the Data for AI sector. Future investments will probably target enhancing platform scalability, deepening integrations with existing MLOps workflows, and potentially exploring new applications for their feature store technology.
See full Logical Clocks company page
