Domino Enterprise AI Platform

What it does

Domino Enterprise AI Platform is an enterprise system for building, delivering, and governing machine learning, GenAI, and agent-based applications. Builders bring code, data, and compute into controlled workspaces, and the platform captures reproducible experiments, versioned apps, and audit trails as work proceeds.

Teams get self-service access to IDEs such as Cursor, Jupyter, RStudio, and VS Code with IT guardrails, publish Streamlit, Dash, or Shiny apps that inherit each viewer's permissions, and put approval gates before deployment. Governance is built into the same workflow through a model registry, policy enforcement, FinOps cost dashboards, and an Audit Trail.

Domino targets organizations with strict compliance, regulatory, or infosec requirements. It runs as single-tenant SaaS or self-managed in a VPC or on-premises. Pricing is subscription-based and obtained by requesting a quote, so an enterprise contract is part of getting started.

What it can do

• Self-service access to IDEs including Cursor, Jupyter, RStudio, and VS Code with IT guardrails
• Governed model registry and experiment tracking with reproducibility and audit trails
• Publish Streamlit, Dash, and Shiny apps with autoscaling and viewer-level permissions
• Policy creation and enforcement with deployment approval gates
• FinOps cost dashboard with budgets, alerts, and Spot Instance usage
• Data access to structured and unstructured data without copying it

Before you choose

• Pricing is subscription-based with tiers and requires a sales quote; published list prices are not shown.
• Self-managed deployments depend on your own cloud or on-premises infrastructure and its cost.
• Support hours and response times vary by tier (24/5 for Premium, 24/7 critical-only for Enterprise).

Listed under

• Coding
• Sandboxes and infrastructure
• AI governance
• Data science
• Enterprise AI
• GPU compute
• MLOps
• Model development

Get started

Pricing and deployment are arranged through the Domino account team; a demo is also available.

1. Request a quote or contact the Domino account team to choose Domino Cloud or a self-managed deployment.
2. Create a Project and open a Workspace with your preferred IDE.
3. Publish an app from the project, with any deployment approval gates your admins have configured.

Subscriptions are quoted per deployment tier. Buyers can purchase directly from Domino or through the AWS or Azure Marketplaces; request a quote to confirm amounts.

Source: domino.ai/pricing, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Enterprise AI and MLOps platform | Domino Data Lab ↗domino.ai
• Domino overview - Domino ↗docs.domino.ai
• Enterprise AI platform pricing | Domino Data Lab ↗domino.ai
• Domino AI Applications: Publish & Scale Apps | Domino.ai ↗domino.ai
• FinOps for AI & ML: Control Costs & Maximize ROI | Domino.ai ↗domino.ai

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domino.ai: product, pricing and policy pages

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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.