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Oswin Data vs STRUT

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 STRUT
Detail Oswin DataSTRUT logo STRUT
What it doesDatasets for RAG, fine-tuning and training built from public sources AI workspace and notebook for long-form writing
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelPaid Freemium
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) Free: $0, includes one project with up to three documents, unlimited notes and version history, imported sources, and 50,000 lifetime starter AI tokens. Pro monthly: $9.99/month with 1,000,000 AI tokens per month. Pro annual: $69.99/year with 1,000,000 AI tokens per month.
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
  • AI writing operations scoped to a passage (expand, outline, strengthen, summarize, critique, tone, plot, rewrite)
  • Long-form projects keeping notes, sources, documents, versions together
  • Voice Profile keeps whole manuscripts in consistent voice
  • Audio notes transcribed into the project
  • Long-form editor with outline navigation, word goals, focus mode, and local style statistics
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
  • All writing and organization features work without AI; AI is optional
  • AI operates on your notes and sources, not a blank prompt, keeping context across sessions
  • Text never used to train AI models; all writing remains private
  • Every AI result appears as a suggestion beside the draft; nothing rewrites in place without approval
  • One project holds multiple chapters with notes and sources; suitable for book-length manuscripts
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check43 −2 (down) since last check
Trust Flow (Majestic)518
Citation Flow (Majestic)2835
Referring domains (Majestic)69324

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