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Domino Data Lab

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What Domino Data Lab is

Domino Data Lab is an enterprise AI platform for developing and operating predictive, generative, and agent-based applications. It includes foundation-model fine-tuning, distributed training, and hyperparameter optimization, with governed access to Cursor, Jupyter, RStudio, and VS Code and elastic CPU and GPU compute. Teams can deploy Streamlit, Dash, and Shiny apps that scale with demand and use discovery and approval workflows. Domino connects with AWS, Azure, GCP, Databricks, and Snowflake, supporting hybrid and multicloud data access. Experiment tracking, model lineage, a governed model registry, and audit trails support oversight. Deployment choices include managed single-tenant SaaS and self-managed environments in public clouds, on premises, or air-gapped. Domino describes security measures and certifications for regulated work, including ISO 27001:2022, SOC 2, GDPR, and HIPAA. The product supports real-time deployment, forecasting workflows, time-series modeling, automated machine learning, model evaluation, and API access. It is paid, with pricing on request and no free plan.

Who it suits

Domino is aimed at large enterprises, including regulated organizations and teams doing mission-critical AI work. Its governance and self-managed deployment options may suit teams with specific oversight or infrastructure requirements.

What it does well

Supports predictive, generative, and agent-based applications.
Provides elastic CPU and GPU compute.
Includes experiment tracking, lineage, and audit trails.
Offers managed and self-managed deployment options.
Unlimited consumer licenses are listed across plans.

What to know first

No free plan is listed.
Pricing requires a request or sales contact.
Cloud and Premium list five service accounts and admins.
Cloud and Premium list a two-business-day support SLA.

Limits

Cloud and Premium list five service accounts, five admin licenses, one deployment for Cloud, and up to two deployments for Premium. Enterprise lists ten service accounts, ten admin licenses, and up to two deployments; all plans list unlimited consumer licenses.

Plans

Plan	Billed and limits	Price
Premium	Request a quote · Self-managed in VPC or on-premises · 5 service accounts · 5 admin licenses · unlimited consumer licenses · up to 2 deployments · up to 2 upgrades per year	On request
Domino Cloud	Request a quote · Single-tenant SaaS · 5 service accounts · 5 admin licenses · unlimited consumer licenses · 1 deployment · premium support	On request
Enterprise	Contact sales · Self-managed in VPC or on-premises · 10 service accounts · 10 admin licenses · unlimited consumer licenses · up to 2 deployments · up to 2 upgrades per year	On request

As domino.ai lists them, read 8 Oct 2026. The maker's own page has the final word.

Getting started

Open the Domino website
Choose a deployment route: managed single-tenant SaaS or self-managed
Select Cloud, Premium, or Enterprise according to deployment needs
Request pricing or contact sales
Use the web interface, API, or self-hosted installation

Verdict

Domino brings model development, deployment, collaboration, and governance into one enterprise platform. Buyers should request pricing and compare plan limits and deployment options with their needs.

Questions

Does Domino Data Lab have a free plan?

No. Domino Data Lab is offered as a paid product, with pricing available on request.

Which platforms does Domino Data Lab support?

It is available through web, API, and self-hosted deployment options.

What deployment choices are available?

Domino describes managed single-tenant SaaS and self-managed deployments in AWS, Azure, GCP, or on premises, including air-gapped environments.

Which plans are listed?

The listed plans are Domino Cloud, Premium, and Enterprise.

What support is included?

All plans include premium or enterprise support. Cloud and Premium list a two-business-day support SLA, while Enterprise lists one business day.

Facts from Domino Data Lab's own pages

Company history: Domino says Nick Elprin co-founded the company in 2013 and that it launched its data science platform in 2014. · domino.ai, 8 Oct 2026
Compliance: Domino states that it is certified to ISO 27001:2022, ISO 9001:2015, SOC 2, GDPR, and HIPAA, and supports additional regulated-industry frameworks. · domino.ai, 8 Oct 2026
Data integrations: Domino says it connects to data infrastructure including AWS, Azure, GCP, Databricks, and Snowflake, with hybrid and multicloud data access. · domino.ai, 8 Oct 2026
Deployment: Domino supports deployment of apps such as Streamlit, Dash, and Shiny, which can scale with user demand and use discovery and approval workflows. · domino.ai, 8 Oct 2026
Deployment options: Domino describes managed single-tenant SaaS and self-managed deployments in AWS, Azure, GCP, or on-premises, including air-gapped environments. · domino.ai, 8 Oct 2026
Development tools: Domino offers governed access to IDEs including Cursor, Jupyter, RStudio, and VS Code, with elastic CPU and GPU compute. · domino.ai, 8 Oct 2026
Founded: 2013 · domino.ai, 28 Sept 2026
Governance: Domino tracks experiments and model lineage, and provides a governed model registry and built-in audit trails. · domino.ai, 8 Oct 2026
Headquarters: San Francisco, California, United States · domino.ai, 28 Sept 2026
Intended customers: Domino describes its platform as serving large enterprises, including organizations in highly regulated industries and teams doing mission-critical AI work. · domino.ai, 8 Oct 2026
Model development: The platform supports predictive, generative, and agent-based applications, foundation-model fine-tuning, distributed training, and hyperparameter optimization. · domino.ai, 8 Oct 2026
Plan limits: The listed plans include five service accounts and five admin licenses for Cloud and Premium, or ten of each for Enterprise; all list unlimited consumer licenses. · domino.ai, 8 Oct 2026
Purpose: Domino’s Enterprise AI Platform brings together model development, MLOps, collaboration, and governance for enterprises building and operating AI at scale. · domino.ai, 8 Oct 2026
Security: The security page describes single-tenant isolation, secure development practices, vulnerability scanning, third-party penetration tests, and SIEM-integrated monitoring. · domino.ai, 8 Oct 2026
Support: All plans include premium or enterprise support; the pricing page lists a two-business-day support SLA for Cloud and Premium and a one-business-day SLA for Enterprise. · domino.ai, 8 Oct 2026