Explore atypica.AI's features, competitor comparisons, and user guides
In-depth comparison of Interview Chat and Discussion Chat: differences, use cases, and capabilities
Understand user groups' lifestyles, values, and mindsets through immersive social media observation
Four-tier persona library based on consistency science for building high-quality AI personas
Conversation is planning - AI auto-determines research type, shows complete plan, one-click confirmation
Persistent memory system that helps AI understand you better over time without repetitive questions
End-to-end automation from research needs to podcast content, completed in hours
Comprehensive research support for product innovation, from market trends to user needs
Enable AI to perform deep analysis based on complete context through reference studies and file attachments
Break data silos through MCP protocol, connecting AI to enterprise internal tools and data sources
Through active learning and knowledge accumulation, the Sage system evolves with usage
AI interview tool vs multi-scenario research platform, both using AI to simulate users
General knowledge assistant vs business research agent, both built on Claude but different positioning
Real human testing platform vs AI research accelerator, save 80-85% cost
Quantitative survey research vs qualitative conversational research, 'why' vs 'how many'
Document-to-podcast generation vs research + podcast platform, passive conversion vs active research
Meeting transcription vs user research, recording 'what was said' vs understanding 'why'
AI simulation vs human recruitment, hours vs weeks