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
AI screenplay analysis with structural feedback
Box office performance prediction
PitchTrailer integration for pitch deck generation
Beat sheet generation for pacing analysis
Visual heatmap of dialogue and pacing
Comparative market data against top-grossing films
Collaborative workspace (up to 5 users)
Advanced analytics dashboard
Dedicated account manager