
Outerbounds provides a human-centric platform for machine learning and data science, built on the open-source Metaflow framework developed at Netflix. The company enables data scientists and engineers to seamlessly collaborate on end-to-end workflows, focusing on data and business logic rather than infrastructure. With a fully managed service that integrates with existing cloud environments, Outerbounds allows teams to develop, scale, and deploy AI and ML systems efficiently. Their platform supports a variety of applications, from large-scale models in finance and healthcare to data-driven logistics and e-commerce, making it a versatile solution for organizations looking to leverage AI and data science effectively.

Outerbounds provides a human-centric platform for machine learning and data science, built on the open-source Metaflow framework developed at Netflix. The company enables data scientists and engineers to seamlessly collaborate on end-to-end workflows, focusing on data and business logic rather than infrastructure. With a fully managed service that integrates with existing cloud environments, Outerbounds allows teams to develop, scale, and deploy AI and ML systems efficiently. Their platform supports a variety of applications, from large-scale models in finance and healthcare to data-driven logistics and e-commerce, making it a versatile solution for organizations looking to leverage AI and data science effectively.
What they do: Fully managed, human-centric ML/AI platform built around the open-source Metaflow framework
Deployment model: Bring-your-own-cloud — data, metadata, and compute remain in customers' cloud accounts
Founded: 2021
Headcount (approx.): 19 employees
Total funding: USD 24,250,000 (reported)
Operationalizing machine learning and data-science workflows for enterprise teams
2021
Machine learning / AI infrastructure
Crunchbase lists a Series A closed on this date
“Has institutional VC backers including Foundation Capital, Amplify Partners, and Greenoaks Capital”