Domino specializes in accelerating the development and deployment of data science work. It offers a platform that enables access to data, tools, computing, models, and projects across any environment, fostering collaboration and establishing best practices while ensuring governance and reducing costs. Domino primarily serves sectors such as life sciences, financial services, manufacturing, and insurance, providing solutions for preclinical research, clinical development, model risk management, fraud prevention, and more. The company was founded in 2013 and is based in San Francisco, California.

Seldon specializes in machine learning operations (MLOps) solutions and focuses on the deployment and management of machine learning models for enterprise companies. The company offers a software framework that enables businesses to deploy, monitor, and manage machine learning models. Seldon's products cater to a variety of industries that require robust machine learning operations, including financial services, automotive, and insurance sectors. It was founded in 2014 and is based in Shoreditch, United Kingdom.

Allegro.ai specializes in continuous machine learning and artificial intelligence, focusing on the technology sector. The company offers an end-to-end platform that streamlines the development, integration, deployment, and improvement of AI/ML models at any scale. Allegro.ai provides tools for data management, experiment tracking, model training, and deployment, designed to facilitate collaboration and optimize resource usage for machine learning projects. It was founded in 2016 and is based in Tel Aviv, Israel.

Baseten focuses on providing infrastructure for deploying and serving machine learning models within various industries. Its services include AI model deployment, machine learning infrastructure, and model serving. Baseten's offerings cater to the needs of companies scaling inference in production. It was founded in 2019 and is based in San Francisco, California.

Coiled is a company focused on providing cloud-based parallel computing solutions, primarily in the data analytics and machine learning sectors. The company offers services that enable data professionals to scale Python code using Dask, facilitating the processing of large datasets and complex computations without requiring deep cloud expertise. Coiled's platform is designed for seamless integration with existing Python workflows, offering features like easy cluster management, GPU utilization, and cost-efficient resource scaling. It was founded in 2020 and is based in New York, New York.

ZenML is an open-source MLOps framework for the creation of machine learning operations pipelines across cloud and tool environments. The framework supports automation of ML workflows, including experiment tracking, model versioning, and resource management, while ensuring compliance with security standards. ZenML allows for fine-tuning of large language models and includes features for scalable ML solutions, within an environment that focuses on backend flexibility and metadata management. It was founded in 2021 and is based in Munich, Germany.