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
Voice to draft: dictate replies and receive structured responses
Screenshot reading: snap an email anywhere on screen to reply without copy and paste
Tone selection: warm, firm, apologetic or concise tones learned from past emails
Adaptive templates: save and tailor best replies to each new message
60+ language support: read, reply and translate across languages
Local encryption: AES-256 encrypted database on user's machine with optional app lock
House voice for new starters: import sent mail to learn team's established voice
Multi-mailbox import: supports Outlook, Gmail, Apple Mail and 7 other email providers
Two-device account access: one account works on up to two computers simultaneously
No API or inbox connection: drafts created locally, user retains full control over sending
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
Drafts learned from your own voice: AI learns tone and style from your past emails, not generic templates
Local-first privacy: all email stored encrypted on your machine, nothing uploaded to servers
Never trains on your emails: messages never used for AI training, not stored on company servers
Works without sending capability: no inbox connection means no security risk or automation errors
Supports team onboarding: new hires sound like the business by lunchtime on day one
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
ReciteMail