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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.

What is Agent Computer?

AgentComputer represents a cutting-edge cloud infrastructure solution specifically designed for the operation of AI agents within secure and fully functional virtual environments. The platform provides "cloud computers" that serve as lightweight Ubuntu-based sandboxes, capable of being established in under a second, thereby allowing developers to quickly create, access, and manage their environments through a command-line interface. With persistent storage included, any applications, files, or settings installed remain intact even after system reboots, supporting ongoing and smooth workflows. The architecture is based on an agent-first approach, enabling AI agents to execute tasks directly within these spaces using SSH, which minimizes the gap between command issuance and execution. Additionally, the platform includes a built-in AI harness that supports a variety of agents, such as Claude, Codex, and other coding aides, facilitating efficient collaborative multi-agent activities in the same space. This integration not only boosts productivity but also simplifies the development workflow for AI-focused initiatives, making it an essential tool for modern developers. Ultimately, AgentComputer stands out by offering a versatile and dynamic environment that adapts to the needs of various projects and users alike.

Media

Media

Integrations Supported

Amazon EC2 Trn2 Instances
Amazon SageMaker
Apache Zeppelin
Dask
Flask
GitHub
GitLab
H2O.ai
JupyterLab
NVIDIA EGX Platform
NVIDIA HPC SDK
NVIDIA NGC
NVIDIA RAPIDS
Okera
PyCharm
Snowflake
python-sql

Integrations Supported

Claude Code
InfuseOS
OpenAI Codex

API Availability

Has API

API Availability

Pricing Information

Per user/per year
Free Trial Offered?

Pricing Information

$20 per month

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Domino Data Lab

Date Founded

2013

Company Location

United States

Company Website

www.dominodatalab.com

Company Facts

Organization Name

Agent Computer

Company Location

United States

Company Website

www.agentcomputer.ai/

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

Categories and Features

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