FlowCraft
analyticsBuild AI agents and workflows visually without code
AI analytics tools apply machine learning to data interpretation, helping teams surface patterns, generate reports, and answer questions about their data without writing complex queries. The 376 tools in this category range from spreadsheet assistants to SQL generators and full business intelligence platforms.
Build AI agents and workflows visually without code
Cloud workspace with AI-powered search
Chat with data files to get insights
Analyze customer journeys to find friction
Automated document data extraction
Chat with PDFs and web content
Chrome extension that helps write and understand SQL queries faster in Metabase
View, edit, and convert JSON, CSV, YAML, and XML data
Generate presentations from spreadsheet data
No-code data integration and analytics
Conversational surveys with AI follow-up questions
Chat with your PDFs, files, and websites
Analyze data and automate business insights
Search across documents and get instant answers
Analyze data and generate visualizations with AI
Ask questions about YouTube videos
Extract insights from messy data instantly
Real cash rummy and card games app
Natural-language AI analytics
AI functions and formulas for Google Sheets
Monitor competitor pricing, features, and messaging in real time
Turn Amplitude analytics into action using natural language
Chat with PDFs, websites, audio, and video files
Fixes grammar, punctuation, and spelling across documents
The range here is wide. Some tools, like Text2SQL, convert plain-English questions into database queries. Others, like Arria, generate natural-language narratives from structured data, useful for automated financial or operational reports. Tools like Wope focus on a specific data source such as SEO metrics, while platforms like Coactive target unstructured visual data. When evaluating an analytics tool, the most important question is where your data lives and whether the tool connects to it securely. Tools that require uploading data to a third-party server raise compliance concerns for sensitive business data. Also consider whether you need real-time analysis or batch processing, as architectures differ. Pricing at the high end scales with data volume or query count, which can surprise teams that run frequent automated reports.