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What is DATAGYM?

DATAGYM enables data scientists and machine learning experts to label images at a rate that is tenfold faster than conventional techniques. Its AI-powered annotation tools significantly reduce manual labor, freeing up more time to optimize machine learning models and speeding up the introduction of new products to the market. By optimizing the data preparation process, you can greatly enhance the productivity of your computer vision projects, cutting the time needed by nearly fifty percent. This improvement not only expedites project schedules but also fosters a more flexible and innovative environment within the industry, allowing teams to adapt quickly to changes and new opportunities. With such advancements, the potential for breakthroughs in machine learning becomes even more attainable.

What is Zerve AI?

Zerve is the agentic data workspace designed for anyone who works with data, from solo analysts, data scientists and business users alike. Zerve brings together exploration, advanced analysis, collaboration, and production deployment into a single AI-native environment, so that important data work doesn’t stall, break, or disappear. Zerve is used by data professionals in companies such as BBC, QVC, Dun & Bradstreet, Airbus, and many others. Zerve makes advanced data work accessible, durable, and deployable from day one, starting with the messy, real-world data most projects begin with. At the heart of Zerve is a new way for humans and AI agents to work together. Zerve’s AI agents understand the full context of a project and actively help plan, build, debug, and iterate across multi-step analyses. Agents can assist with tasks like cleaning and transforming data, identifying issues, and testing approaches, reducing the manual effort that slows teams down. This means working at a higher level of abstraction without being slowed by setup or syntax. With Zerve, you always have an expert data scientist at your side, guiding decisions, suggesting next steps, and taking action. Unlike traditional data notebooks, workflows in Zerve are reproducible and stable. Users can work across Python, SQL, and R in a single workspace, connect directly to databases, data lakes, and warehouses, and integrate with Git for version control. The built-in distributed computing engine powers massively parallel execution for large-scale analysis, simulations, and AI workloads, with multi-agent orchestration coordinating complex pipelines behind the scenes. Zerve can be used as SaaS, self-hosted, or even on-premise for regulated environments.

Media

Media

Integrations Supported

Amazon S3

Integrations Supported

Amazon API Gateway
Amazon Web Services (AWS)
Docker
GitHub
MariaDB
Markdown
MySQL
PostgreSQL
Python
R
SQL
Snowflake

API Availability

API Availability

Pricing Information

$19.00/month/user
Tiered Pricing Model with the Developer plan costing $0 a month.
Free Version

Pricing Information

$0
Pro $20/mo, Team $40/mo, Enterprise custom pricing.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

eForce21

Date Founded

2019

Company Location

Germany

Company Website

www.datagym.ai/

Company Facts

Organization Name

Zerve AI

Date Founded

2023

Company Location

Ireland

Company Website

www.zerve.ai/

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing

Data Management

Data Analysis
Data Capture
Data Integration

Data Visualization

Analytics
Content Management
Relational Display
Visual Discovery

Deep Learning

Convolutional Neural Networks
Image Segmentation
Model Training
Neural Network Modeling
Visualization

Machine Learning

Deep Learning
Model Training
Predictive Modeling
Visualization

Categories and Features

AI Data Analytics

Not specified

AI Development

Not specified

AI Infrastructure

Not specified

Data Analysis

Not specified

Data Science

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

Data Visualization

Not specified

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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