Domino Enterprise AI Platform vs MLJAR vs V7

Domino Enterprise AI Platform

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MLJAR

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Description

Domino Enterprise AI Platform

Domino Enterprise AI Platform

Domino Enterprise AI Platform is designed to help data science teams and organizations streamline their efforts and get the most out of their data. Imagine having one central place where your data sci... Read More
MLJAR

MLJAR

MLJAR is a software platform designed to make machine learning accessible and easy to use for businesses of all sizes. It aims to simplify the way companies gather insights from their data without the... Read More
V7

V7

V7 is your ultimate AI partner for all things visual data. Designed with simplicity and efficiency at its core, V7 helps teams manage, annotate, and train their datasets effortlessly. Think of it as y... Read More

Contact Info

Year founded :

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Year founded :

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Year founded :

2015

+1 972-304-6935

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United Kingdom

http://www.linkedin.com/company/v7labs

Features

Collaboration and Team Work

Shared Workspaces
Version Control

Efficient Model Management

Model Catalog
Model Monitoring

Comprehensive Data Science Tools

Integrated Workflows
Support for Multiple Languages

Security and Compliance

Data Protection
User Access Controls

Scalability and Performance

High-Performance Computing
Elastic Compute

Performance Monitoring

Custom Alerts
Real-Time Analytics

User-Friendly Interface

Drag-and-Drop Functionality
Interactive Visualizations

Automated Machine Learning

Automated Hyperparameter Tuning
Quick Model Training

Integration and APIs

Third-Party Integrations
API Access
Webhooks

User Management

Activity Logs
Easy Onboarding
Role-Based Access

Collaboration Tools

Real-Time Editing
Team Chat
Task Management

Security

Regular Security Audits
Data Encryption
Two-Factor Authentication

Reporting and Analytics

Data Visualization
Scheduled Reports
Customizable Reports

Pricing

Domino Enterprise AI Platform logo

Pricing Not Available

MLJAR logo

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V7 logo

Pricing Not Available

Metrics History

Metrics History

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