Free AI translation across 55 languages powered by Google's Gemma 3 model
AI-powered research assistant for academic writing and scientific discovery
Stage
Startup
Startup
Founded
2026
Not given
Based in
Not given
Not given
Pricing model
Free
Freemium
Pricing
Completely free with unlimited translations across all 55 languages
Free tier with 800 words. Paid plans: Basic $6.99/month (10,000 words/month for Daily Academic Toolkit, 5,000 for Research Assistant Pro); Pro $10.99/month (50,000 words/month for Toolkit, 7,500 for Pro); Ultimate $35.99/month (unlimited Toolkit access, 15,000 words/month for Research Assistant Pro
Key features
Support for 55 languages
Context-aware translations
Natural language output
Technical terminology support
Cultural adaptation
Mobile and cloud deployment
Real-time translation
API integration
Privacy-focused with no data storage
Batch processing capability
Literature review tools to find and organize relevant research
Note-taking and mind-mapping features for organizing research insights
Essay and academic writing assistance
Support for responding to reviewer comments and revisions
Grammar checker and citation format conversion
Paraphrasing tools for original content creation
Over 50 modules in Daily Academic Toolkit for essay and research support
Research Highlights Extractor and Content Fusion tools
Multiple AI model integration with seamless switching
End-to-end encryption and advanced security measures
What makes it different
26% error reduction compared to baseline models on translation benchmarks
Exceptional performance on low-resource languages with 30% error reduction for Icelandic
Completely free and unlimited with zero signup required
Advanced two-stage fine-tuning process with reinforcement learning
Runs efficiently on laptops, phones, and cloud infrastructure
Grounded in scientific expertise with content trained on scholarly articles and STM knowledge
Comprehensive all-in-one platform covering entire research lifecycle from idea to publication
User data ownership and privacy protection without using inputs to train base models
Model-agnostic flexibility allowing seamless switching across different LLMs
Journal-standard output optimization for publication-ready academic content