| What it does | Test LLMs on your own tasks before you switch models
| AI verification layer for professionals to check AI answers for facts, reasoning and sources
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| NL
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| Pricing model | Paid
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| Pricing | Standard: $99 one-time for 2 machines, including 1 year of updates. Pro coming soon.
| Starter (Free): 10 checked questions/month; Essential €79/month (€66/month yearly): 50 questions/month; Professional €199/month (€166/month yearly): 300 questions/month, 5 users; Compliance €399/month (€333/month yearly): 1,000 questions/month, 25 users. Evidence Engine module €250/month (€209/month
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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
| - Multi-model fact checking with independent verification by different AI models
- Critical counter-reading to identify weak assumptions and missing arguments
- Source verification with current citations for claims
- Visible verification trail showing every step and model disagreement
- Semantic Privacy Shield for pseudonymisation of sensitive data
- Vera Office for document analysis and editing with automatic checks
- Vera X-Ray for local data discovery before sending to Vera
- Transparent cost tracking per verification step
- API integration for connecting to custom software
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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
| - Uses multiple independent AI models to check each answer, preventing any single model from having the final word
- Shows all model disagreements and corrections visibly rather than hiding them behind a confidence score
- Transparent about limitations and does not claim to eliminate hallucinations
- Built in the EU with data processing in customer-isolated environments
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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 | 28 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 20 |
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| Citation Flow (Majestic) | 16 | 35 |
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| Referring domains (Majestic) | 3 | 135 |
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