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What is dotData?

dotData enables your organization to focus on the results of artificial intelligence and machine learning projects, simplifying the intricate data science process by automating the entire lifecycle of data science. With the ability to initiate a comprehensive AI and ML pipeline within minutes, you gain the advantage of real-time updates through continuous deployment. This groundbreaking approach expedites data science projects, cutting down timelines from months to just days thanks to automated feature engineering. By leveraging data science automation, discovering valuable insights hidden within your business becomes a hassle-free task. Traditionally, engaging with data science to build and implement accurate machine learning and AI models is often a labor-intensive and protracted process, requiring collaboration among various specialists. By automating the most monotonous and repetitive aspects of data science, you can drastically reduce the time needed for AI development, shrinking it from several months to just a few days. This transformation not only improves overall efficiency but also empowers teams to concentrate on more strategic and innovative initiatives, ultimately driving better business outcomes. Such advancements in automation are reshaping the landscape of data science, making it more accessible and effective for organizations of all sizes.

What is Domino Enterprise AI Platform?

Domino is a powerful enterprise AI platform built to help organizations develop, deploy, and manage AI systems at scale while delivering measurable business value. It provides a unified environment that supports the entire AI lifecycle, from data exploration and experimentation to deployment and monitoring. The platform enables self-service data science by giving users secure access to datasets, development tools, and scalable compute resources such as CPUs and GPUs. Domino supports a wide range of AI applications, including machine learning models, generative AI solutions, and agent-based systems. Its orchestration capabilities allow organizations to run workloads across hybrid, multi-cloud, and on-premises environments with flexibility and efficiency. The platform includes robust governance features, such as model registries, audit trails, and automated policy enforcement, ensuring transparency and compliance. It also tracks experiments and model lineage, providing a complete system of record for AI development. Domino enhances collaboration by enabling teams to share insights, tools, and workflows across the enterprise. Cost optimization tools help manage infrastructure spending through autoscaling and resource monitoring. The platform integrates seamlessly with existing enterprise systems and supports industry-standard tools and frameworks. With strong security certifications and compliance support, it meets the needs of regulated industries. Overall, Domino enables organizations to industrialize AI, reduce risk, and accelerate innovation while maintaining full control over their AI operations.

Media

Media

Integrations Supported

Microsoft Azure

Integrations Supported

Amazon EC2 Trn2 Instances
Anaconda
Apache Zeppelin
Bitbucket
GitLab
H2O.ai
Jira
JupyterLab
MATLAB
NVIDIA EGX Platform
NVIDIA HPC SDK
NVIDIA NGC
NVIDIA RAPIDS
Okera
PyCharm
R
SPARK
Snowflake
python-sql

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Per user/per year
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

dotData

Date Founded

2018

Company Location

United States

Company Website

dotdata.com

Company Facts

Organization Name

Domino Data Lab

Date Founded

2013

Company Location

United States

Company Website

www.dominodatalab.com

Categories and Features

Data Science

Not specified

Categories and Features

Agentic AI

Not specified

AI Cost Management

Not specified

AI Data Analytics

Not specified

AI Development

Not specified

AI Governance

Not specified

AI Infrastructure

Not specified

Data Management

Not specified

Data Science

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

Deep Learning

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

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Predictive Modeling
Statistical / Mathematical Tools

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