AI-powered resume tailoring that matches your qualifications to job descriptions in seconds
AI-powered research assistant for academic writing and scientific discovery
Stage
Not given
Startup
Founded
Not given
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Based in
US
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Pricing model
Freemium
Freemium
Pricing
Launchpad: $15/month (1 resume optimization per day, up to 30 per month). Accelerator: $26/month (3 per day, up to 90 per month). Unlimited Horizon: $32/month (5 per day, up to 150 per month). Free trial includes one resume optimization.
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
ATS-optimized resume generation
Resume tailoring in under 60 seconds
Job description scanning from multiple job boards
Multilingual resume optimization
Editable Word document downloads
Job-specific keyword analysis
Advanced formatting improvements
Priority processing
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
Tailors resumes to match job descriptions in seconds instead of hours
Trained on 10,000+ resumes from people who actually got hired
Maintains your authentic voice while optimizing for specific roles
Works with any job source including company career portals
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