AI-powered research assistant for academic writing and scientific discovery
AI-powered blog writing with team review and WordPress publishing
Stage
Startup
Not given
Founded
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Based in
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DE
Pricing model
Freemium
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Pricing
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
Free: 200 Tokens per month (approx. 2 articles with image), Starter: $20/month (2,000 Tokens, approx. 25 articles with image), Pro: $50/month (5,000 Tokens, approx. 62 articles with image). Additional token packages: 1,000 Tokens for $10. One article costs 65 Tokens regardless of length, one feature
Key features
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
AI article generation with brand voice customization
AI-generated feature images
Editorial calendar with publish scheduling
Automated scheduling with fixed days and times
SEO suggestions for title, description and slug
Support for 35 publishing platforms beyond WordPress
REST API integration without plugin requirement
Content editing tools including paraphrase and translation
Action logging with user and timestamp tracking
What makes it different
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
Fixed token pricing visible before each action
Team-based approval required before publishing
Direct support from Frankfurt-based team in German and English