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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

Build, design, prototype, and deploy custom generative AI workflows. Improve customer engagement and team/personal productivity. Build and embed into your website in minutes. Connect the chatbot with your knowledge base, and summarize and answer questions about documents, videos, audio files, and websites instantly. Create marketing copy, personalized outbound emails, call summaries, and graphics at scale. Save time by leveraging a library of pre-built pipelines such as chatbots and document search. Contribute to the marketplace by sharing your pipelines with other users. Our secure infrastructure and zero-day retention policy mean your data will not be stored by model providers. Our partnerships begin with a free diagnostic where we assess whether your organization is generative already and we create a roadmap for creating a turn-key solution using our platform to fit into your processes today.

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

Developers interested in a platform to build and deploy generative AI applications

Support

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

Support

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

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

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 2.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 3.0 / 5

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.

Pros & Cons from Real Users

Pros

  • 1. Easy to use 2. Easy to deploy 3. Community sharing of workflows & ideas 4. Easy to customize and provide real AI solutions.

Cons

  • I'm not convinced this company's leadership is capable to succeed and here's why: 1. First, the interface is great. But after deploying my first agent I noticed the forms were not optimized on mobile (looked great on desktop and tablet, but too wide on smartphones). WTF? Why deploy as a solution and NOT fully support almost 70% of users? They fixed that within a few days. 2. Software upgrade deployments: I'm a software QA veteran of over 20 years, so something is wrong with testing in this company. I currently have 4 ai-agents that are used or sold on my websites as solutions built in VectorShift. The last major upgrade rendered all deployed forms I use on my websites as useless. I could run the forms in VectorShift, but not from my website. I even redeployed, and it did not work. The support agent told me their QA is good and that only some forms were corrupted. Apparently, all of mine :(. I was told that I have to recreate the forms from scratch, which is ok. However, my plan is to create small business solutions (many agents) on one of my sites. Imagine if I had 100 of these agents (or even 20 which I will in a few months) and now I have to recreate all forms?

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Training

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

Company Information

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

Company Information

VectorShift
www.vectorshift.ai/

Alternatives

Alternatives

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

AI Development Supported
AI Infrastructure Supported
AI Tools Supported
Chatbot Supported

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
Amazon SageMaker Supported
Anaconda Supported
ChatGPT Not Supported
Flask Supported
GitHub Supported
H2O.ai Supported
Jira Supported
JupyterLab Supported
NVIDIA EGX Platform Supported
NVIDIA HPC SDK Supported
NVIDIA NGC Supported
NVIDIA RAPIDS Supported
PyCharm Supported
PyTorch Supported
SPARK Supported
Salesforce Not Supported
Snowflake Supported
Workers by Delos Not Supported
python-sql Supported

Integrations

Amazon EC2 Trn2 Instances Not Supported
Amazon SageMaker Not Supported
Anaconda Not Supported
ChatGPT Supported
Flask Not Supported
GitHub Not Supported
H2O.ai Not Supported
Jira Not Supported
JupyterLab Not Supported
NVIDIA EGX Platform Not Supported
NVIDIA HPC SDK Not Supported
NVIDIA NGC Not Supported
NVIDIA RAPIDS Not Supported
PyCharm Not Supported
PyTorch Not Supported
SPARK Not Supported
Salesforce Supported
Snowflake Not Supported
Workers by Delos Supported
python-sql Not Supported
Claim Domino Enterprise AI Platform and update features and information
Claim Domino Enterprise AI Platform and update features and information
Claim VectorShift and update features and information
Claim VectorShift and update features and information