Domino Data Lab

Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale via its Enterprise AI Platform, providing an integrated experience encompassing model development, MLOps, collaboration, and governance. Founded in 2013 and headquartered in San Francisco, the company is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

About Domino Data Lab

Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale via its Enterprise AI Platform, providing an integrated experience encompassing model development, MLOps, collaboration, and governance. Founded in 2013 and headquartered in San Francisco, the company is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

Products

  • Domino Enterprise AI Platform

    MLOps & DeploymentCustom pricing

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    Domino's Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance.

  • Domino Cloud

    MLOps & DeploymentCustom pricing

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    Single-tenant SaaS deployment for cloud-first enterprises seeking a fully-managed solution.

  • Domino Nexus

    MLOps & DeploymentCustom pricing

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    Enables running AI workloads across multiple clouds, regions, or on-premises to preserve data locality and avoid vendor lock-in.

  • Domino Governance

    AI Safety & GovernanceCustom pricing

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    Transforms abstract governance policies into applied best practices to mitigate risks and ease compliance for confident AI innovation.

  • Domino FinOps

    MLOps & DeploymentCustom pricing

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    Advanced cost management for AI initiatives, providing granular visibility, budget alerts, and intelligent infrastructure sizing to proactively monitor and reduce AI costs.

  • Domino's Statistical Computing Environment (SCE) unifies SAS, R, and other modern tools for life sciences regulatory submissions.

What customers say

“With Moody’s know-how and workflow, coupled with Domino and AWS infrastructure, we have been able to accelerate model development, which means information gets into the hands of our clients who need it faster,”
CustomerDomino Data Lab customer
“Working with Domino gives us the ability to fully leverage our core strengths of working with financial data, building analytics, and applying those to our customers’ businesses.”
CustomerDomino Data Lab customer
  • Domino Enterprise AI Platform

    Vevo uses Domino Enterprise AI Platform to build and scale models for contextual advertising, audience targeting and sales workflows. Domino reports ad click-through-rate gains of up to 10% and hundreds of hours saved…

    Case study
  • Domino SCE (Statistical Computing Environment)

    GSK uses a modernized Domino statistical computing environment for clinical-trial analysis and regulatory reporting, with more than 2,000 Domino users. Domino reports unified pharmaceutical and vaccine workflows, shorter…

    Case study
  • Domino Enterprise AI Platform

    The U.S. Navy uses Domino Enterprise AI Platform in Project AMMO to deploy and retrain underwater target-recognition models. Domino reports deployment falling from six months to six days and retraining from 12 months to…

    Case study

Security and compliance

As reported by Domino Data Lab. Ask for audit reports before you buy.

  • ISO 9001Certified
  • ISO/IEC 27001Certified
  • SOC 2Certified
  • HIPAACertified
  • Single-tenant isolation in customer cloud or on-premises
  • Third-party penetration testing
  • Continuous vulnerability scanning
  • SIEM integration with around-the-clock monitoring
  • SAST and DAST testing
  • Code reviews

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Latest updates from Domino Data Lab

New feature

Domino Introduces Tags and Properties for Asset Organization

Domino Data Lab introduced a new tagging and properties management system to enhance institutional knowledge organization. Users can now categorize assets using consistent labels and add custom open-ended metadata to items including Apps, Projects, Project Templates, Datasets, NetApp Volumes, and Models. This update is integrated into the platform's global search and filtering capabilities to improve asset discoverability and data governance.

MentionedNetApp