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Oswin Data vs Transept

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 Transept
Detail Oswin DataTransept logo Transept
What it doesDatasets for RAG, fine-tuning and training built from public sources AI translation workspace that remembers your decisions across documents and languages
StageNot given Startup
FoundedNot given 2025
Based inNot given DE
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: 5,500 credits per month. Lite: €9 or $10/month for 25,000 credits. Starter: €29 or $33/month for 80,000 credits. Pro: €79 or $90/month for 240,000 credits. Credit packs: €19/$22 for 30,000 credits, €55/$63 for 100,000 credits, €149/$170 for 300,000 credits. Standard mode costs 1 credit per sou
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
  • Side-by-side document translation with block-by-block control
  • Reusable glossaries and styleguides across projects
  • Literess AI literary editor with cross-document memory
  • Support for 68 languages including all 24 EU official languages
  • Multiple file format import and export
  • Originality reports showing AI vs human contribution
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
  • Maintains terminology and tone consistency across entire documents and projects
  • Every translation decision is tracked with alternatives and reasoning
  • Originality reports document what the AI wrote versus what the user changed
  • Data never used to train AI models and hosted in Germany for GDPR compliance
  • Literess agent automates workflows while preserving user control over all decisions
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check25 no change since last check
Trust Flow (Majestic)511
Citation Flow (Majestic)2826
Referring domains (Majestic)6971

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