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Domino

Enterprise AI platform where organizations build, scale and govern AI-powered applications.

Venture Funded$148Mseries-c+Sequoia CapitalCoatue Management

data sciencemachine learningcollaborationgovernance

About

Domino Data Lab has rebranded to Domino. The platform unifies coding assistants, agentic AI, and built-in governance in a single platform, connecting the full lifecycle from development to production. It consists of three main components: Model Factory for building AI systems and applications, App Hub for scaling AI-powered applications to thousands of users, and Governance Center for governing AI systems with complete auditability and cost visibility. The platform supports statistical computing environments for clinical trial submissions, model risk management for regulatory compliance, and document intelligence for extracting insights from unstructured data. Organizations use it to reduce end-to-end model lifecycle time and development costs while accelerating onboarding and deployment.

Read from domino.ai on 2026-08-26. We describe what the vendor states; we do not audit it.

Enterprise Readiness

from cataloged data

58/100 · Established

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, Hybrid

Integration DepthStrong

5 documented integrations

Proven AdoptionPartial

5 documented use cases

Company MaturityStrong

Founded 2013 · series-c+

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Activity classifier

Active

last GitHub commit 1d ago

GitHub API2026-05-27

dominodatalab

SDK / client libraries· 58★· active 3mo ago

Python · Jupyter Notebook · HCL · SAS

steady · +0★ (+0%) 30d

PyPI registry

dominodatalab

v2.1.0· Apache Software License (Apache 2.0)· released 5mo ago

OSV vulnerability feed2026-08-24

No known advisories

Enterprise Use Cases

data science collaboration

model deployment

data governance

machine learning

research and development

Integrations

JupyterApache SparkGoogle CloudAmazon Web ServicesMicrosoft Azure

How Domino compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
Domino	58 · Established	Enterprise	Cloud, Hybrid	—	5
Cloudera Machine Learning	65 · Strong	Enterprise	Cloud, Hybrid, Self-Hosted	—	4
BigID AI	58 · Established	Enterprise	Cloud, Hybrid	—	5
H2O AI Cloud	57 · Established	Enterprise	Cloud, Self-Hosted	—	5

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Domino used for?

Domino is enterprise AI platform where organizations build, scale and govern AI-powered applications. It is commonly used for data science collaboration, model deployment, data governance, and machine learning.

Is Domino free, and how is it priced?

Domino uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Domino be deployed?

Domino supports Cloud and Hybrid deployment. It is delivered as a cloud-hosted service.

What does Domino integrate with?

Domino documents 5 integrations, including Jupyter, Apache Spark, Google Cloud, Amazon Web Services, and Microsoft Azure.

When was Domino founded?

Domino was founded in 2013 and has raised $148M in funding.

Is Domino enterprise-ready?

Based on cataloged data, Domino has an Enterprise Readiness score of 58/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise

DeploymentCloud, Hybrid

Founded2013

Funding$148M

CategoryLegal & Compliance AI

Procurement

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