| What it does | AI user research platform that runs synthetic user interviews and returns a full report in under 30 minutes
| Testing and improvement for GenAI systems, before deployment and in production
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Freemium
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| Pricing | Free trial: 1,000 credits (around 2 studies) for 14 days, no credit card required. Starter: $79/month with 3,000 credits per month (around 7 studies) plus 1,200 bonus credits during launch period. Pro: $199/month with 7,000 credits per month (around 17 studies) plus 2,800 bonus credits during launch
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| Key features | - Synthetic persona interviews with Big Five personality model and 30 personality facets
- Stance Diversity Engine with champions, pragmatists, skeptics, blockers, and observers
- Hypothesis-blind interviews to prevent yes-man answers
- Six-Stage Synthesis with adversarial review
- Evidence chains and confidence scores
- White-label report export for Pro plan
- Talk to Research follow-up queries
- Live calls with personas
| - Automated evaluations with off-the-shelf benchmarks and LLM as Judges
- Product strategy and cross-department PM modules
- Automated alerts for deviations in product behavior
- LLM as Users for simulating diverse user personas
- AI portfolio governance and oversight
- User feedback automation and expert annotation
- Metrics comparison with historical data and leaderboards
- Customizable metrics for different knowledge levels and evolving needs
- Integration with existing workflows for cross-departmental teams
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| What makes it different | - 86% accuracy validated against Baymard Institute and Nielsen Norman Group across 46 studies
- Complete research report in under 30 minutes instead of 4-8 weeks
- No recruitment, scheduling, or participant incentives required
- Personas calibrated across 93 countries with cultural differences
| - Measures real-world impact to prove business and user value before deployment
- Metrics become shared language across product, engineering and risk teams
- Reduces reliance on data scientists by automating AI product management
- Makes impact of AI predictable through testing and forecasting
- Ensures AI aligns with actual user needs through feedback and explainability
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 50 ▲ +1 (up) since last check | 39 ● no change since last check |
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| Trust Flow (Majestic) | 11 | 7 |
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| Citation Flow (Majestic) | 39 | 23 |
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| Referring domains (Majestic) | 514 | 84 |
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Impact AI