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features 0 out of 5 stars
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Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 4 out of 5 stars
support 5 out of 5 stars

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What is Hive AutoML?

Create and deploy deep learning architectures that are specifically designed to meet distinct needs. Our optimized machine learning approach enables clients to develop powerful AI solutions by utilizing our premier models, which are customized to tackle their individual challenges with precision. Digital platforms are capable of producing models that resonate with their particular standards and requirements. Build specialized language models for targeted uses, such as chatbots for customer service and technical assistance. Furthermore, design image classification systems that improve the understanding of visual data, aiding in better search, organization, and multiple other applications, thereby contributing to increased efficiency in processes and an overall enriched user experience. This tailored approach ensures that every client's unique needs are met with the utmost attention to detail.

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

Amazon EC2 Trn2 Instances
Amazon SageMaker
Apache Zeppelin
Bitbucket
Flask
GitHub
GitLab
Jira
JupyterLab
MATLAB
NVIDIA EGX Platform
NVIDIA HPC SDK
NVIDIA NGC
NVIDIA RAPIDS
Okera
PyCharm
PyTorch
R
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

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Hive

Date Founded

2013

Company Location

United States

Company Website

thehive.ai/solutions/auto-ml

Company Facts

Organization Name

Domino Data Lab

Date Founded

2013

Company Location

United States

Company Website

www.dominodatalab.com

Categories and Features

AI Development

Not specified

Deep Learning

Not specified

Image Annotation

Not specified

Machine Learning

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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