Features
Ingest unstructured data from SharePoint and S3
OCR, parse, and chunk files in a single pass
Automated metadata tagging at thousands of files per minute
Sensitive data detection at petabyte scale
Quality and relevance scoring per file
Custom taxonomy design and autobuilding
Slice datasets by relevance, topic, time, quality, or sensitivity
Write enriched metadata back to source systems
Export AI-ready datasets to RAG pipelines and retrieval systems
Continuous monitoring and auto-refresh of datasets
Deploy in your own cloud environment
Integrate with any model or LLM endpoint
Centralized governance for tags, definitions, owners, and accuracy
UI for business teams plus APIs and Python SDK
Handles petabytes of data
Natural language querying for instant insights
AI Dashboard Generator with customizable themes
Data transformation: clean, merge, filter, reshape
Text analysis: sentiment detection, keyword extraction, translation
Scheduled reporting with Playbooks
Code transparency: view and export Python, SQL, R code
AI SQL Query Generator from natural language
AI Chart Maker and Spreadsheet Generator
PDF to Excel and bank statement to Excel converters
Web scraping from any website
Embeddable analytics chat with iframe
Knowledge Base for improved SQL accuracy
Row-level security for database connections
Data connectors: Google Sheets, BigQuery, Snowflake, MySQL, PostgreSQL, Supabase, MSSQL, and more
Data Explorer with curated datasets
