| What it does | Marketing AI for ad testing and optimization powered by neuroscience
| An API that verifies each RAG response against its sources
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| Stage | Not given
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| Founded | Not given
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| Based in | DK
| FR
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| Pricing model | Contact for pricing
| Contact for pricing
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| Pricing | Not given
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| Key features | - Focus score and attention mapping across key creative elements
- Cognitive demand analysis to assess processing difficulty
- Visual recommendations powered by machine learning
- Real-time campaign performance prediction
- Multi-stage campaign analytics and insights
- Integration of neuroscience metrics with performance KPIs
| - Response verification against source documents
- Confidence levels: certain, probable, or I don't know
- Nightly automatic improvements with proof
- REST API with coming Python and TypeScript SDKs
- LangChain and LlamaIndex integration support
- MCP server integration option
- Data hosted in Paris, Europe
- Full verification in French and English
- Graceful degradation if API fails
- User data never used for AI training
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| What makes it different | - Built on world's largest proprietary neuroscience database with 100+ billion data points
- 95% predictive precision backed by 25+ years of applied neuroscience research
- Founder and CEO is leading neuroscientist with 6,000+ academic citations
- Framework developed with Stanford University for advertising effectiveness
- Proven results: average 40% CTR increase, 25% CPC reduction, 21% brand memory lift
| - Honest "I don't know" instead of hallucinated answers
- Proven improvements: 31 out of 32 correct on sealed test set
- Drops in after your existing RAG: one API call only
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 64 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 16 | 0 |
| Citation Flow (Majestic) | 41 | 0 |
| Referring domains (Majestic) | 1559 | 0 |