Datasets for RAG, fine-tuning and training built from public sources
The editor that makes you think sharper
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
US
Pricing model
Paid
Freemium
Pricing
Web Corpus: starter sets from $49 (250,000-500,000 documents); shelf corpora from $99-$199 per shelf (one-time license); Everything (full crawl) $3,000 one-time; Whole Library (all builds for one year) $5,000 per year. Reference Collections: Encyclopedia $1,200 commercial or $349 research (one-time)
Free plan at $0/month with basic writing features and limited AI allowance. Plus plan at $9/month with unlimited docs, encrypted cloud backups, external connections, and x5 more AI usage. Pro plan at $29/month with all Plus features plus multi-agent mode and x15 more AI usage, marked as Best value.
Key features
Web corpus with 100.7M documents and 105B tokens from Common Crawl
Documents scored with Bear Rank and shelved by subject
15 million encyclopedia entries with sources and model attribution
200 million synthetic Q&A records with metadata
Delivered as JSONL and Parquet formats
Free samples available on Hugging Face
Command-line client with resumable downloads and SHA-256 verification
Statistics collection with 7,000 topics and 140,000 figures
Glossaries for 10,000 topics with one million definitions
Book Q&A dataset with 8,000 titles for reading comprehension
Intelligent AI assistant with chat, edit and write capabilities
True offline experience with local file storage
Web research and image generation
Deep mode for complex creative tasks
Multi-agent mode for collaborative AI
Import and export multiple file formats
Encrypted cloud backups
Page and pageless document viewing modes
External connections for integrations
What makes it different
All datasets built only from public sources with full provenance tracking
Every record includes source attribution and licensing information
Eight curated subject shelves for targeted corpus selection
Flexible purchasing: buy individual shelves, slices, or entire library
Over 4 TB of clean, deduplicated text ready for machine learning
Keeps your files locally on your machine instead of on company servers
Combines offline-first document editing with integrated AI without tab-hopping
Works with your existing file formats and imports from popular platforms
Fast performance for large documents with flexible viewing options
Designed for writers and thinkers who care about word quality
Strokes