Domino Enterprise AI PlatformDomino Data Lab
|
||||||
Related Products
|
||||||
About
Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency.
|
About
Model Monster is an AI governance platform for legal, compliance, security, and engineering teams. Its CORE Framework maps Components, Operations, Resources, and Execution into a shared System Blueprint, showing how system parts connect, what they can access, and how information flows. Teams can document use cases, evaluate policies, review risk findings, track versions and audit activity, and record reviewer decisions. Configurable CORE Reports bring system architecture, policies, findings, licensing information, and signoffs into exportable PDFs. A reusable component library and MCP-connected modeling support help teams build and maintain blueprints. API access supports programmatic work, while the platform provides a system-level view for governance and compliance that complements model inventories when assessing system risk.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Large enterprises, data science teams, and IT leaders looking to build, deploy, and կառավար AI systems at scale with strong governance, security, and infrastructure control
|
Audience
Legal, compliance, risk, audit, security, engineering, and product teams that need to document, review, and govern AI systems.
|
|||||
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
PricingPer user/per year
Free Version
Not Supported
Free Trial
Supported
|
Pricing
$500/month
The base plan starts at $500 per month and includes one team, one system, and 1 GB of storage. Additional teams cost $500 per team per month; additional systems cost $250 per system per month. Storage is $18 per GB per month, and components are $8 per component per month. Fixed fees are billed monthly in advance and usage-based fees monthly in arrears. Annual bundles are available at quoted prices.
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Pros & Cons from Real UsersPros
Cons
|
||||||
Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
|
|||||
Company InformationDomino Data Lab
Founded: 2013
United States
www.dominodatalab.com
|
Company InformationModel Monster
Founded: 2025
United States
www.modelmonster.ai
|
|||||
Alternatives |
AlternativesNo Alternatives
|
|||||
Categories |
Categories |
|||||
Data Science Features
Access Control
Supported
Advanced Modeling
Supported
Audit Logs
Supported
Data Discovery
Supported
Data Ingestion
Supported
Data Preparation
Supported
Data Visualization
Supported
Model Deployment
Supported
Reports
Supported
Deep Learning Features
Convolutional Neural Networks
Supported
Document Classification
Supported
Image Segmentation
Supported
ML Algorithm Library
Supported
Model Training
Supported
Neural Network Modeling
Supported
Self-Learning
Supported
Visualization
Supported
Machine Learning Features
Deep Learning
Supported
ML Algorithm Library
Supported
Model Training
Supported
Natural Language Processing (NLP)
Not Supported
Predictive Modeling
Supported
Statistical / Mathematical Tools
Supported
Templates
Not Supported
Visualization
Not Supported
|
||||||
Integrations
Amazon EC2 Trn2 Instances
Supported
Anaconda
Supported
Apache Zeppelin
Supported
Bitbucket
Supported
Dask
Supported
Flask
Supported
GitHub
Supported
GitLab
Supported
H2O.ai
Supported
MATLAB
Supported
|
Integrations
Amazon EC2 Trn2 Instances
Not Supported
Anaconda
Not Supported
Apache Zeppelin
Not Supported
Bitbucket
Not Supported
Dask
Not Supported
Flask
Not Supported
GitHub
Not Supported
GitLab
Not Supported
H2O.ai
Not Supported
MATLAB
Not Supported
|
|||||
|
|
|