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Scifocus vs Cue

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Scifocus compared with Cue
DetailScifocus logo ScifocusCue logo Cue
What it doesAI-powered research assistant for academic writing and scientific discovery AI writing assistant for any Mac app
StageStartup Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Free trial
PricingFree 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 $29 USD one-time purchase
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
  • Remembers people and past context
  • Grammarly-class proofreading
  • Bring your own API key or run local model
  • Ghost text suggestions as you type
  • Two gestures to access all functions
  • Shows receipts for each reply
  • Memory stays on your Mac
  • Supports Anthropic, OpenAI, Google Gemini and Ollama
  • Custom actions with personalized shortcuts
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
  • Memory that crosses conversations and apps
  • Shows receipts explaining how each reply was generated
  • Minimal resource usage as small native macOS app
  • No account, analytics or tracking required
Community votes00
DR (Domain Rating by Ahrefs)6 no change since last check3 +1 (up) since last check
Trust Flow (Majestic)79
Citation Flow (Majestic)2728
Referring domains (Majestic)6332

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