Your ideas perfectly expressed with AI writing, detection, and content tools
Datasets for RAG, fine-tuning and training built from public sources
Stage
Not given
Not given
Founded
Not given
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Based in
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Pricing model
Freemium
Paid
Pricing
Not given
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)
Key features
AI-generated content detection from ChatGPT, Claude and other models
Detects paraphrased AI content
AI text humanization
Content summarization from articles, PDFs, and PowerPoint
Video and YouTube summarization and transcription
Audio transcription to text
Text-to-speech conversion
Multi-language support
OCR and image text extraction
Step-by-step math problem solving
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
What makes it different
All-in-one workspace for multiple AI writing and content processing tools
Designed for everyday study, work, and daily life tasks
Free to use with no login required
User content ownership and privacy protection
Bypasses Turnitin AI detection
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