Companies

Empresas

Databricks logo

Databricks

databricks.com
Databricks is a unified analytics platform that combines data engineering, data science, and machine learning in a collaborative cloud-based environment. Founded in 2013 by the creators of Apache Spark, the company provides a lakehouse architecture that enables organizations to process and analyze massive amounts of data while building and deploying machine learning models at scale. The platform serves thousands of enterprises worldwide, helping them accelerate their data and AI initiatives through simplified data workflows and advanced analytics capabilities.
Dataiku is a leading data science platform that democratizes access to data and enables organizations to build their own path to AI. Founded in 2013, the company provides a collaborative platform that brings together data scientists, analysts, and business users to design and deploy predictive applications at scale.
DeepL is a German-based artificial intelligence company that specializes in language translation technology. Founded in 2017, the company developed one of the world's most accurate neural machine translation services, offering translation between dozens of languages with notably high quality that often surpasses competitors like Google Translate.
Dell Technologies logo

Dell Technologies

dell.com
Dell Technologies is a multinational technology corporation headquartered in Round Rock, Texas, that develops, sells, repairs, and supports computers and related products and services. The company is one of the world's largest technology infrastructure companies, providing a comprehensive portfolio of products and services including personal computers, servers, data storage devices, network switches, software, and AI solutions.
Domino Data Lab logo

Domino Data Lab

domino.ai
Domino Data Lab is a leading enterprise MLOps platform that accelerates data science work and collaboration for global enterprises. The company provides a comprehensive platform that enables data scientists to develop, deploy, and manage machine learning models at scale while ensuring governance, reproducibility, and collaboration across teams.