Domino Enterprise AI Platform

Domino Enterprise AI Platform

Domino Data Lab
5.0 out of 5 stars
+
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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

Powerful and affordable RPA platform. Use the flexibility of Python, the convenience of low code, and the potential of AI for intelligent automation. Python RPA is an easy-to-use platform for developing and managing bots in Python. The capabilities of Python make the platform an effective and powerful tool for automating business processes. Enterprise-grade orchestrator for managing Python scripts and low-code projects. Basic Python knowledge is enough to start your automation journey. Stay ahead with instant notifications and a status management board. Uninterrupted flow of process execution, keeping things running smoothly. Ensure secured and managed user access. Keep your credentials secured and ensure activities are being logged. Use any library or framework for creating your project. Develop your Python automation in any open-source Python development environment.

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

Enterprises interested in a tool to manage their business processes and automate routine tasks

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 Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

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

Pricing

$275 per month
Free Version Not Supported
Free Trial 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 Supported
In Person Supported

Company Information

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

Company Information

Python RPA
Founded: 2019
Kazakhstan
pythonrpa.org

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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

PyCharm Supported
Amazon SageMaker Supported
Anaconda Supported
Apache Zeppelin Supported
Bitbucket Supported
Dask Supported
Flask Supported
GPT-4 Not Supported
GitHub Supported
GitLab Supported
JupyterLab Supported
MATLAB Supported
NVIDIA HPC SDK Supported
NVIDIA RAPIDS Supported
Okera Supported
PyTorch Supported
Python Not Supported
SAP Cloud Platform Not Supported
Visual Studio Not Supported
python-sql Supported

Integrations

PyCharm Supported
Amazon SageMaker Not Supported
Anaconda Not Supported
Apache Zeppelin Not Supported
Bitbucket Not Supported
Dask Not Supported
Flask Not Supported
GPT-4 Supported
GitHub Not Supported
GitLab Not Supported
JupyterLab Not Supported
MATLAB Not Supported
NVIDIA HPC SDK Not Supported
NVIDIA RAPIDS Not Supported
Okera Not Supported
PyTorch Not Supported
Python Supported
SAP Cloud Platform Supported
Visual Studio Supported
python-sql Not Supported
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