Validate and monitor AI models to minimize risks and ensure compliance
Citrusˣ helps organizations deploy AI systems safely by validating model performance, explaining decisions, and monitoring for vulnerabilities. The platform focuses on reducing regulatory risks through real-time anomaly detection and customizable compliance reports. It's designed for technical teams and executives who need to maintain ethical AI practices while meeting governance standards.
Track model performance and detect drifts continuously
Get model explanations at global and local levels
Generate customized regulatory reports automatically
Receive actionable alerts to address vulnerabilities
Exceeds SHAP/LIME in validation accuracy
Provides tools for governance requirements and generates compliance-ready reports for different regulations
Yes, offers real-time explanations for each prediction including error rates and certainty levels
Outperforms these benchmarks in all performance metrics according to company data
This tool is best for:
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Recent data shows that Citrusˣ has 1.7K monthly visits (23.1% increase from the previous month), 46.0% bounce rate, and average 1.81 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 1 countries worldwide, led by United States contributing 100% of total traffic. SEO performance is shown by 5 tracked keywords, with "types of validation methods needed for ai output" being the top-performing keyword with 0 monthly searches. See below for more info.
Monthly Visits
1.7K
Pages per Visit
1.81
Bounce Rate
46.0%
Average Time on Site
43s
| SEO Keyword | Volume | CPC |
|---|---|---|
| types of validation methods needed for ai output | 0 | - |
| pakwheels.com pk | 0 | - |
| how to test ai models | 110 | - |
| iso 42001 | 11.5K | $5.48 |
| llm benchmarks | 9.8K | $2.86 |
| Source | Traffic Share |
|---|---|
| Direct | 47% |
| Search | 36% |
| Social | 11% |
| Referrals | 5% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 100% |
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