Develop and Deliver High-Impact Models

Domino is a secure, scalable, and centralized platform for developing, validating, delivering, and monitoring models with full auditability, governance and transparency. It can run in cloud, on-prem, and hybrid environments.

Accelerate Research with Scalable Compute and Open Access to Any Tool

Use your favorite tools and infrastructure in Domino.

Provision scalable compute resources with one-click, in the cloud or on premise. Eliminate DevOps tasks with access individual or shared environments that include any language, package, or tool your team needs: R, Python, SAS, H2O, Tensorflow, Jupyter, RStudio, DataRobot, and more. Scale projects across domains with connectors to all popular data sources, including Spark, Hadoop, data warehouses, and more.

Deliver Models with Business Impact Faster

Model delivery in the Domino platform

Remove the “last mile” problem in model delivery with a multi-modal approach that ensures models fit into business use cases, whether as a real-time API, a visualization, or a self-service web app.

Enable teams to deploy and iterate models with streamlined model deployment, monitoring, and production versioning.

Domino captures metrics and engagement to help you measure their impact and drive iterations.

Gain Visibility Across All Projects and Know Which Ones to Prioritize

Control Center in the Domino platform

Remove the opaqueness of model development on laptops with a single holistic view of your team’s data science projects. Domino’s Control Center for Data Science Leaders provides a central interface where you can check progress on your team’s work, understand the costs associated with each project, provide guidance and feedback, and see the latest status—without interrupting your team or transacting over email.

Stop Duplicative Work and Create a Knowledge Flywheel for Your Team

Monitor data science projects in Domino.

Eliminate your team’s wasted time trying to reproduce lost work with Domino’s Reproducibility Engine that automatically tracks all data science experiments—code, data, environment details, parameters, discussions and results.

Domino provides a Knowledge Center that creates a virtuous cycle of feedback and collaboration across your team and both IT and business stakeholders. Anyone can share insights and find artifacts from all projects, so future work can continue from past work, and learnings are set free from individual laptops.

Onboard in Days and Reduce Key-Person Risk

Workspaces in the Domino platform

Get new hires productive on day one with pre-built compute and tool environments, and with tutorials based on past projects and organizational learnings. Domino allows any team member to quickly pick up where others left off, with each project’s artifacts and history.

Domino is your team’s single collaborative platform for data science work, archived and tracked for discovery.

Related Data Science Resources

Building a Strong Data Science Community in a Decentralized Org Red Hat Rev Virtual

Building a Strong Data Science Community in a Decentralized Org Red Hat Rev Virtual

The Practical Guide to Managing Data Science at Scale

The Practical Guide to Managing Data Science at Scale

Data Science Maturity Model Whitepaper

Data Science Maturity Model Whitepaper

Domino Data Lab Enterprise MLOps Platform | Customer stories

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