| What it does | Validate and monitor AI and LLM models for accuracy, robustness, and governance
| Citations, built for AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | IL
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| Pricing model | Not given
| Freemium
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| Pricing | Not given
| Free tier for small requests with no API key required; 10 million free tokens to start; $1 per million tokens for pay-as-you-go, with discounts available at volume or with annual commitments; failed requests are never charged.
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| Key features | - Real-time monitoring and alerts for model mistakes
- Comprehensive validation metrics for stability and accuracy
- Model explainability at global and local levels
- Detection of anomalies and model vulnerabilities
- Bias and fairness analysis
- Governance tools for regulatory compliance
- Automated real-time reporting for stakeholders
- Actionable mitigation steps and risk reduction
- Production monitoring to prevent performance deterioration
- Real-time prediction explanation with error and certainty metrics
| - Token-level attribution with confidence scores
- Works with any AI model without access to weights or internals
- Processes documents up to 1 million tokens
- Returns results in under 2 seconds for 20,000-token documents
- On-premise and air-gapped deployment options
- PDF support with character-level mapping
- Supports 23+ languages including Indian languages
- Chrome browser extension for page and PDF tracing
- Raw token-by-token heatmaps available via API
- No data logging or training on request content
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| What makes it different | - Outperforms international explainability benchmarks like SHAP and LIME
- Unique ability to dive into local samples in real time
- Patent-pending proprietary methodology
- Comprehensive solution covering development and deployment
- 82% faster time to production
| - Measures attention directly from the model's computation rather than asking the model to cite itself, providing verifiable attribution
- Achieves frontier-grade citation quality at 7x lower cost and 5-6x faster than alternatives
- Never confused by duplicate facts—identifies the exact occurrence the answer used even when values appear multiple times
- Lands on exact tokens down to character level, not just document chunks
- Works on any model's output post-generation without modifying inference pipeline
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 25 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 3 |
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| Citation Flow (Majestic) | 16 | 16 |
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| Referring domains (Majestic) | 77 | 36 |
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Citrusˣ
TokenPath