| What it does | Test LLMs on your own tasks before you switch models
| Marketing AI for ad testing and optimization powered by neuroscience
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| DK
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| Pricing model | Paid
| Contact for pricing
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| Pricing | Standard: $99 one-time for 2 machines, including 1 year of updates. Pro coming soon.
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| Key features | - Benchmark any OpenRouter model on your own prompts, CSVs or Hugging Face datasets
- Rubric-based scoring by AI judge, by hand, or both
- Cost per answered task with retries and caching
- Time to first token and output tokens per second per call
- Shareable reports in HTML, CSV and JSON formats
- Compare up to three past benchmarks side by side
- Hard spending cap per run
- Fully self-hosted on your machine
- No SDK or code changes required
| - 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
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| What makes it different | - Tests your own tasks with real data instead of generic benchmarks
- Comes before integration with no SDK or code changes needed
- Reports actual cost per answered task including retries and caching
- Entirely self-hosted with data never leaving your machine
- One shareable report with every answer and judge reasoning
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 64 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 16 |
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| Citation Flow (Majestic) | 16 | 41 |
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| Referring domains (Majestic) | 3 | 1559 |
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orbench
Neurons AI