Features
AI-moderated user interviews with live vision
Automated participant recruitment from 15M+ panel
Figma prototype and live product testing
AI-generated discussion guides
Bias mitigation recommendations
Real-time contextual follow-up questions
40+ languages supported for interviews
Per-participant video, transcript, and analysis
Pattern identification with clips and quotes
Exportable reports (PDF, PPT)
Chat with your data for ad-hoc queries
AI-powered screener creation
Card sorting (beta coming soon)
Reverse-engineer causal mechanisms of AI models
Reveal internal structure and hidden representations
Detect performative chain-of-thought in LLMs
Identify confounders and debug model behavior
Validate whether models learned real clinical understanding
Trace unstable behaviors to brittle internal features
Reduce hallucinations via features as rewards
Accelerate materials discovery with self-correcting search
Control training precisely with less data and off-target effects
Support for LLMs, life sciences, and robotics/vision models
Harvest activations from trillion-parameter models
SOC 2 Type II certified security and compliance
Analyze latent policy structure in robotics models
Interpret genomic models like Evo 2
Discover novel biomarkers via model reverse-engineering
