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    Simple pricing so you can focus on data science, not costs

    Companies can't transform into model-driven businesses when they have to closely monitor compute usage to avoid billing surprises.

    That’s why Domino offers subscription-based, per-user pricing with access to all platform capabilities. Data science teams can build and deploy unlimited models, and easily keep them up-to-date with integrated model monitoring.




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    Manage Models
    Scope and define projects and goals, find and review prior work, and track research progress.
    Develop Models
    Identify data, create workspaces, collaborate on experiments, and more – all within any environment.
    Deploy Models
    Publish models as APIs, apps, and launchers, or export them as Docker images for other infrastructure.
    Monitor Models
    Track data drift, model quality, and other vital health statistics to ensure models perform as expected.
    Consume Apps
    Interact with models deployed as analytic apps for non-technical users.
    Administer Domino
    Manage users, track resource usage, create environments, update system configurations, and more!

    Domino centralizes assets required to build data models, reducing the costs of Lockheed Martin’s ML and AI projects by $20 million a year.

    Matt Seaman
    Director, Enterprise Operations Chief Data & Analytics Officer, Lockheed Martin

    Frequently Asked Questions

    Do you offer a perpetual license?

    No. Our subscription-based pricing model includes maintenance, upgrades, customer support, and more, and also helps customers avoid large upfront costs.

    Wasn't model monitoring previously a separate product?

    Domino launched Domino Model Monitor (DMM) as a separate product in June 2020. We are always looking for opportunities to increase Model Velocity for our customers, and as a result, have decided to integrate all DMM functionality into Domino 5.0, which launched in January 2022.

    All Domino customers will receive model monitoring capacity when they upgrade to Domino 5.0 – at no additional charge.

    Why consider Domino instead of building a platform ourselves?

    Some organizations start by building their own data science platform. They focus on solving infrastructure challenges but don’t think about what an ideal end-to-end process should be. The cost of maintenance, the value of product feedback from multiple parties, and the importance of features beyond simple infrastructure orchestration are often underestimated. We have outlined the true costs of building a data science platform in this whitepaper.

    Ready to empower your team?

    Request pricing information about the Domino Enterprise MLOps platform today.

    Fill out the form and we'll be in touch shortly.