Best data consequences tools in 2025

FinetuneDB

Quickly build and refine AI models with custom datasets.

Universal Data Generator

Easily create datasets in CSV format using AI-driven generation.

Free + from $4.00/m
open
Synthetic Data Hub

Marketplace for privacy-focused synthetic datasets for AI training.

Sinkove

AI-generated imaging datasets for disease research and treatment development.

CVAT – Computer Vision Annotation Tool

Data annotation software for efficient labeling of images and videos.

md.ai

Streamlined medical imaging annotation and reporting for radiologists.

Unitlab AI

Streamlined data labeling for computer vision tasks.

laminar

An open-source framework for monitoring AI model performance.

ImageNet

Vast image database for AI and machine learning research.

Label Studio

Streamlined data labeling for training machine learning models.

Markup

Streamlines text annotation for data management and analysis.

Amazon SageMaker Ground Truth

Generates high-quality labels for machine learning datasets.

Polaris Office AI

Create and edit documents seamlessly across devices.

Datascale

Visualizes SQL data relationships for improved discoverability.

Generate JSON

A user-friendly interface for quick JSON data generation.

Data Normalizer

Automates data cleaning and standardization for accuracy.

Talktotables

Explore and practice SQL queries with a realistic sample database.

Apache SINGA

Deep learning framework for efficient model training and integration.

EdApp

Mobile learning management for quick and engaging training delivery.

Fast Shapes

Generate personalized workout plans in seconds for busy individuals.

AgentRunner

AI-driven automation for streamlining workplace tasks.

GPT for work

Powerful AI integration for enhancing productivity in office applications.

Skillsoft Percipio

Personalized online learning for skill development and training.

CogniSpark

AI-driven course creation for fast and effective learning materials.

Free + from $49/y
open
Megatron LM

Advanced framework for training large transformer models efficiently.