| What it does | Datasets for RAG, fine-tuning and training built from public sources
| Voice-to-action AI assistant that turns spoken commands into finished work across any app
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| GB
|
|---|
| Pricing model | Paid
| Freemium
|
|---|
| 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)
| Free with limited features; Teams plan: £8 per user per month (minimum 3 seats) with 2,000 pooled credits per user
|
|---|
| 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
| - Works across Windows, Mac, iOS, Android and browser extension in any app
- Supports 140+ languages with real-time processing
- 99.5% accuracy with automatic punctuation and grammar
- Understands intent and completes full tasks from voice commands
- Privacy-first with no recordings or transcripts stored
- GDPR compliant and HIPAA ready
- Works inside Gmail, Outlook, LinkedIn, Slack, WhatsApp, Notion, GitHub and any website
- 10x faster than traditional voice typing
|
|---|
| 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
| - Converts voice commands into completed work, not just transcribed text
- Understands intent and context, not just words spoken
- Maintains user's personal voice, tone and writing style automatically
- No plugins, integrations, or tab-switching required
- Single account works seamlessly across all devices
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 11 ▲ +1 (up) since last check |
|---|
| Trust Flow (Majestic) | 5 | 7 |
|---|
| Citation Flow (Majestic) | 28 | 21 |
|---|
| Referring domains (Majestic) | 69 | 17 |
|---|
Genie 007