AI translation workspace that remembers your decisions across documents and languages
AI-powered research tool that summarises articles, analyses research and finds key information
Stage
Startup
Established
Founded
2025
2021
Based in
DE
GB
Pricing model
Freemium
Freemium
Pricing
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
Free trial: 14 days. Basic: £3.99/month (or £4.99/month for professional tier). Pro: £15.99/month (or £19.99/month for professional tier, £29.99/month for other tiers). Annual billing available with discounts.
Key features
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
AI-powered document summarisation
Keyword extraction and definition
Semantic and query-based search
Cloud-based notes and annotations
Chrome browser extension
Reference generation and citation management
GPT-3 access for advanced features
Multi-document analysis and question answering
Rephrasing and paraphrasing functionality
What makes it different
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
98% of users report genei saves time by paraphrasing complex ideas and finding crucial information faster
95% of users say genei enables more productive work
95% of users find greater answers and insights from their research
State-of-the-art natural language processing with contextual understanding