Datasets for RAG, fine-tuning and training built from public sources
Autocomplete and AI assistant for Mac and Windows, built on a private account of your work
Stage
Not given
Startup
Founded
Not given
2026
Based in
Not given
AU
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)
Not given
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
Autocomplete with Tab to accept drafts
Error detection and fact-checking
Cross-app integration
Source attribution for every suggestion
Context-aware AI assistance
One-click pause and privacy control
Encrypted data storage
Read-only app connections
Natural writing style matching
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
Finishes sentences from your actual work history and connected files, not generic AI
Shows source for every suggestion so you can verify it before accepting
Catches mistakes and contradictions between what you're writing and your work history
Works inline in the apps you already use without installation
You stay the author with full control over what gets written
Opsis