Domino is a powerful but complex and expensive end-to-end MLOps platform for large enterprises that need to standardize and govern their data science practice. Smaller teams may find it to be overkill.
The Enterprise AI Platform to build, deploy, and manage models at scale while ensuring governance and accelerating model velocity.
Domino Data Lab is a comprehensive enterprise AI and MLOps platform designed to centralize and accelerate data science work. It provides an open, unified system where data science teams can manage the entire model lifecycle, from initial research and experimentation to deployment, monitoring, and governance. The platform supports a wide variety of tools, languages, and infrastructure, including Python, R, SAS, Jupyter, and major cloud providers, allowing teams to use their preferred environments while maintaining central control and reproducibility. Primarily built for large organizations, Domino addresses the challenges of operationalizing AI at scale. It offers self-service access to powerful compute resources, automates the tracking of experiments and artifacts for reproducibility, and enforces security and compliance policies. This helps companies in regulated industries like finance, insurance, and life sciences to build and deploy 'responsible AI' by providing a full audit trail and robust governance over their modeling processes.
Large enterprises, data science teams, ML engineers, and IT leaders in regulated industries seeking to operationalize and govern AI/ML models.
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2013
San Francisco, USA
Paid
No free tier
Free
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