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Description

Domino is a comprehensive enterprise AI platform that enables organizations to transform AI initiatives into scalable, production-ready systems. It supports the full AI lifecycle, including data access, model development, deployment, and ongoing management. The platform provides a self-service environment where data scientists can access tools, datasets, and compute resources with built-in governance and security controls. Domino allows teams to build machine learning models, generative AI applications, and intelligent agents using their preferred development environments. It also includes advanced orchestration capabilities to manage workloads across hybrid, multi-cloud, and on-premises infrastructures. Governance features such as model registries, audit trails, and policy enforcement ensure compliance and reproducibility. The platform enhances collaboration by providing a centralized system of record for all AI assets and experiments. Additionally, it helps organizations optimize costs through resource management and usage tracking. Domino is designed to meet enterprise standards for security and regulatory compliance. Ultimately, it empowers businesses to accelerate AI innovation while maintaining operational control and accountability.

Description

DATAGYM empowers data scientists and machine learning professionals to annotate images at speeds that are ten times quicker than traditional methods. The use of AI-driven annotation tools minimizes the manual effort required, allowing for more time to refine machine learning models and enhancing the speed at which new products are launched. By streamlining data preparation, you can significantly boost the efficiency of your computer vision initiatives, reducing the time required by as much as half. This not only accelerates project timelines but also facilitates a more agile approach to innovation in the field.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon EC2 Trn2 Instances Yes 
Amazon S3 No 
Amazon SageMaker Yes 
Apache Zeppelin Yes 
Bitbucket Yes 
Dask Yes 
Flask Yes 
GitHub Yes 
Jira Yes 
MATLAB Yes 
NVIDIA EGX Platform Yes 
NVIDIA HPC SDK Yes 
NVIDIA RAPIDS Yes 
Okera Yes 
PyCharm Yes 
PyTorch Yes 
R Yes 
SPARK Yes 
Snowflake Yes 
python-sql Yes 

Integrations

Amazon EC2 Trn2 Instances No 
Amazon S3 Yes 
Amazon SageMaker No 
Apache Zeppelin No 
Bitbucket No 
Dask No 
Flask No 
GitHub No 
Jira No 
MATLAB No 
NVIDIA EGX Platform No 
NVIDIA HPC SDK No 
NVIDIA RAPIDS No 
Okera No 
PyCharm No 
PyTorch No 
R No 
SPARK No 
Snowflake No 
python-sql No 

Pricing Details

Per user/per year
Free Trial Yes 
Free Version No 

Pricing Details

$19.00/month/user
Tiered Pricing Model with the Developer plan costing $0 a month.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Domino Data Lab

Founded

2013

Country

United States

Website

www.dominodatalab.com

Vendor Details

Company Name

eForce21

Founded

2019

Country

Germany

Website

www.datagym.ai/

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Science

Access Control Yes 
Advanced Modeling Yes 
Audit Logs Yes 
Data Discovery Yes 
Data Ingestion Yes 
Data Preparation Yes 
Data Visualization Yes 
Model Deployment Yes 
Reports Yes 

Deep Learning

Convolutional Neural Networks Yes 
Document Classification Yes 
Image Segmentation Yes 
ML Algorithm Library Yes 
Model Training Yes 
Neural Network Modeling Yes 
Self-Learning Yes 
Visualization Yes 

Machine Learning

Deep Learning Yes 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates No 
Visualization No 

Product Features

Data Analysis

Data Discovery Yes 
Data Visualization Yes 
High Volume Processing Yes 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Management

Customer Data No 
Data Analysis Yes 
Data Capture Yes 
Data Integration Yes 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Visualization

Analytics Yes 
Content Management Yes 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display Yes 
Simulation Models No 
Visual Discovery Yes 

Deep Learning

Convolutional Neural Networks Yes 
Document Classification No 
Image Segmentation Yes 
ML Algorithm Library No 
Model Training Yes 
Neural Network Modeling Yes 
Self-Learning No 
Visualization Yes 

Machine Learning

Deep Learning Yes 
ML Algorithm Library No 
Model Training Yes 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools No 
Templates No 
Visualization Yes 

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