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Oswin Data vs Cue

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Oswin Data compared with Cue
Detail Oswin DataCue logo Cue
What it doesDatasets for RAG, fine-tuning and training built from public sources AI writing assistant for any Mac app
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelPaid Free trial
PricingWeb 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) $29 USD one-time purchase
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
  • Remembers people and past context
  • Grammarly-class proofreading
  • Bring your own API key or run local model
  • Ghost text suggestions as you type
  • Two gestures to access all functions
  • Shows receipts for each reply
  • Memory stays on your Mac
  • Supports Anthropic, OpenAI, Google Gemini and Ollama
  • Custom actions with personalized shortcuts
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
  • Memory that crosses conversations and apps
  • Shows receipts explaining how each reply was generated
  • Minimal resource usage as small native macOS app
  • No account, analytics or tracking required
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check3 +1 (up) since last check
Trust Flow (Majestic)59
Citation Flow (Majestic)2828
Referring domains (Majestic)6932

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