Datasets for RAG, fine-tuning and training built from public sources
Agentic AI platform for creating, localizing and governing content at scale
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
IT
Pricing model
Paid
Contact for pricing
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
AI Writer for articles, emails, social posts and reports
AI Art for on-brand image generation
Brand voice customization from company knowledge and guidelines
Multi-level approval workflows
Support for 25+ languages with 6 premium languages
SEO optimization for content
Real-time collaboration and team task assignment
Full audit trail and compliance tracking
HTML Editor for building pages without coding
Orchestrates multiple AI models without vendor lock-in
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
Model-agnostic platform orchestrating Meta, OpenAI, Anthropic, Google and Mistral with no vendor lock-in
Structured approval workflows with brand governance and full auditability at scale
Original plagiarism-free content generation
Human-in-the-loop approach combining AI with manual finishing by human writers