Domino Data Lab
Domino Data Lab is an Enterprise AI Platform that brings model development, MLOps, collaboration, and governance together for organizations building and oper…
What Domino Data Lab is
Domino Data Lab is an Enterprise AI Platform that brings model development, MLOps, collaboration, and governance together for organizations building and operating AI. It supports predictive, generative, and agent-based applications, foundation-model fine-tuning, distributed training, and hyperparameter optimization. Governed access is provided to IDEs including Cursor, Jupyter, RStudio, and VS Code, with elastic CPU and GPU compute. Teams can deploy Streamlit, Dash, and Shiny applications that scale with demand and use discovery and approval workflows. Domino connects with AWS, Azure, GCP, Databricks, and Snowflake for hybrid and multicloud data access. Experiment tracking, model lineage, a governed model registry, and audit trails support oversight. Deployment options include managed single-tenant SaaS or self-managed installations in cloud environments, on premises, and air-gapped settings. Domino describes security practices and states certifications including ISO 27001:2022, ISO 9001:2015, SOC 2, GDPR, and HIPAA. Pricing is available on request, with no free plan.
Good
- Supports predictive, generative, and agent applications
- Offers elastic CPU and GPU compute
- Deploys Streamlit, Dash, and Shiny apps
- Tracks experiments and model lineage
- Provides cloud, on-premises, and air-gapped options
Watch out
- No free plan
- Pricing requires a request or sales contact
- Plan limits apply to service accounts and administrators
- Designed primarily for enterprise organizations
Who it suits
It is aimed at large enterprises, regulated organizations, and teams running mission-critical AI work. It suits groups needing governed development, deployment, multicloud access, and model oversight.
Verdict
Domino Data Lab covers development, deployment, governance, and collaboration in one enterprise platform. Its deployment flexibility and oversight features suit regulated teams, but pricing and capacity details require a sales discussion.
Plans and prices
From Domino Data Lab's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Domino Cloud | Priced on request | Single-tenant SaaS · 5 service accounts · 5 admin licenses · unlimited consumer licenses · 1 deployment · premium support · Request a quote |
| Enterprise | Priced on request | 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 · Contact sales |
| Premium | Priced on request | 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 · Request a quote |
The facts
Each one read from Domino Data Lab's own pages, with the date it was checked.
The company
- Company history
- Domino says Nick Elprin co-founded the company in 2013 and that it launched its data science platform in 2014.checked 8 Oct 2026
- Founded
- 2013checked 28 Sep 2026
- Headquarters
- San Francisco, California, United Stateschecked 28 Sep 2026
What it does
- 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.checked 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.checked 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.checked 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.checked 8 Oct 2026
- Development tools
- Domino offers governed access to IDEs including Cursor, Jupyter, RStudio, and VS Code, with elastic CPU and GPU compute.checked 8 Oct 2026
- Governance
- Domino tracks experiments and model lineage, and provides a governed model registry and built-in audit trails.checked 8 Oct 2026
- Intended customers
- Domino describes its platform as serving large enterprises, including organizations in highly regulated industries and teams doing mission-critical AI work.checked 8 Oct 2026
- Model development
- The platform supports predictive, generative, and agent-based applications, foundation-model fine-tuning, distributed training, and hyperparameter optimization.checked 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.checked 8 Oct 2026
- Security
- The security page describes single-tenant isolation, secure development practices, vulnerability scanning, third-party penetration tests, and SIEM-integrated monitoring.checked 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.checked 8 Oct 2026
Money
- 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.checked 8 Oct 2026
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