Best AI Data Analytics Tools & Software in 2026 (Free & Paid)
Explore 268 high-quality AI tools, software and services for AI Data Analytics. including Microsoft Knowledge Exploration, PostgresML, Sketch, PandasAI
Secoda is the AI-powered platform that brings cataloging, observability, and governance together, making data management simpler and more efficient.
Athina is a versatile AI platform that accelerates AI development with tools for prompt management, dataset evaluation, and real-time monitoring. It’s trusted by world-class teams for its flexibility and ease of use.
SayData is a game-changer for data analysis, making it accessible to everyone with its plain English query feature and ChatGPT-like experience.
AppFlowy is a privacy-focused, AI-powered workspace that helps you manage projects, teams, and data with ease. Available on multiple platforms, it’s perfect for anyone who values control and customization.
Label Studio is the go-to tool for flexible data labeling, supporting multiple data types and offering ML-assisted features for efficient AI model training.
Epoch AI provides data-driven insights and trend analysis to help society understand and navigate the rapid evolution of AI.
MacroMicro is your go-to platform for global economic data and investment insights, offering dynamic charts, AI analysis, and a vibrant community to help you make smarter decisions.
SymphonyAI provides AI SaaS solutions that help businesses across various industries optimize operations, reduce risk, and drive growth through predictive and generative AI.
Instabase AI Hub transforms unstructured data into actionable insights, helping businesses automate workflows and make smarter decisions.
Surge AI powers the best in the industry with its global data labeling platform, trusted by leading companies like Microsoft, Nvidia, and more.
Kolena is the leading AI platform for enterprise-grade quality, offering tools for data analysis, model testing, and insight extraction across various industries.
MyScale is the SQL vector database for scalable AI, enabling developers to build production-grade GenAI applications with minimal learning and maximum value.