| What it does | Turn any document, photo, call, email, or website into a row in your table.
| 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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| Pricing model | Not given
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| Pricing | Free: €0/month with 50 credits/month, 1 seat, and 1,000 rows/table. Pro: €49/month with 3,000 credits/month, 5 seats, and 100,000 rows/table. Scale: €199/month with 20,000 credits/month, 15 seats, and 500,000 rows/table. Enterprise: Custom pricing. Annual is ten months' price, paid upfront. Prices e
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| Key features | - Convert documents into table rows
- Extract and structure data from photos
- Transcribe and parse audio calls
- Process emails into structured rows
- Extract data from websites
| - 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 | - Unified platform rather than a standalone parser pushed into another database
- Same features across all tiers with only capacity differences
- Handles multiple input types in one table schema
- AI-native architecture for automated data extraction
| - 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 |
| DR (Domain Rating by Ahrefs) | 21 ▼ −2 (down) since last check | 39 ● no change since last check |
| Trust Flow (Majestic) | 8 | 7 |
| Citation Flow (Majestic) | 28 | 23 |
| Referring domains (Majestic) | 85 | 84 |