| What it does | Testing and improvement for GenAI systems, before deployment and in production
| Your studio, inside every AI tool you build with
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| Stage | Not given
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| Based in | US
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| Pricing model | Not given
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| Key features | - 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
| - Integrates with Claude, ChatGPT, Codex, Cursor and other AI tools
- Automatically captures app screens, store art, marks, and press art
- Brand vault system with Inbox approval workflow
- Automatic brand recognition from git remote, folder or package name
- File uploads up to 45 MB for photos and 50 MB for videos
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| What makes it different | - 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
| - Works inside your existing AI tools without switching context
- Fully user-controlled approval process with no automatic posting
- Private vaults with one-way hashed authentication for security
- Intelligent file reading and captioning for organization
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 39 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 7 | 0 |
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| Citation Flow (Majestic) | 23 | 0 |
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| Referring domains (Majestic) | 84 | 1 |
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Impact AI
Slushie