Domino Enterprise AI Platform

Domino Enterprise AI Platform

Domino Data Lab
5.0 out of 5 stars
octomind

octomind

Muvon
+
+

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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

octomind is an open-source runtime for building and running AI agents from a local command-line environment. It includes an agent engine, connections to major language-model providers, configurable skills and tools, and a runtime server for clients that interact with agents. Developers can use it for coding, research, workflow automation, and other tool-using tasks, with support for Windows, macOS, and Linux. The runtime supports more than 20 model providers, Model Context Protocol (MCP) tools, and event-driven workflows that respond to activity from services such as GitHub, Slack, and PagerDuty. octomind is distributed under the Apache 2.0 license; model-provider accounts or API usage may incur separate charges.

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 Supported
Mac Supported
Linux Supported
Cloud Not 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

Software developers and teams building or running AI agents, including coding and workflow agents.

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Per user/per year
Free Version Not Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 4.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • Domino Data Science has the following pros: - Great Customer service. - Flexibility with notebooks and the ability to define your environment as per your needs. - Collaboration is very much easy with this software. - Launches Quickly and easily scalable of Kubernetes infrastructure.

Cons

  • The only cons that I found with this software were that the datasets are not accessible outside the platform. Other than that, this works fine for me.

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Domino Data Lab
Founded: 2013
United States
www.dominodatalab.com

Company Information

Muvon
Founded: 2017
Hong Kong
octomind.run/product/octomind

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Categories

Agentic AI Supported
AI Cost Management Supported
AI Data Analytics Supported
AI Development Supported
AI Governance Supported
AI Infrastructure Supported
Data Management Supported
Data Science Supported
Deep Learning Supported
Machine Learning Supported

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

GitHub Supported
Anthropic Not Supported
Bitbucket Supported
GitLab Supported
H2O.ai Supported
MATLAB Supported
NVIDIA EGX Platform Supported
NVIDIA HPC SDK Supported
NVIDIA NGC Supported
NVIDIA RAPIDS Supported
Ollama Not Supported
OpenAI Not Supported
OpenRouter Not Supported
PyCharm Supported
PyTorch Supported
R Supported
SPARK Supported
Slack Not Supported
Snowflake Supported
octocode Not Supported

Integrations

GitHub Supported
Anthropic Supported
Bitbucket Not Supported
GitLab Not Supported
H2O.ai Not Supported
MATLAB Not Supported
NVIDIA EGX Platform Not Supported
NVIDIA HPC SDK Not Supported
NVIDIA NGC Not Supported
NVIDIA RAPIDS Not Supported
Ollama Supported
OpenAI Supported
OpenRouter Supported
PyCharm Not Supported
PyTorch Not Supported
R Not Supported
SPARK Not Supported
Slack Supported
Snowflake Not Supported
octocode Supported
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