Monitor and troubleshoot machine learning models at scale
Censius helps teams manage AI models in production by automatically tracking performance issues and explaining decisions. It detects data drifts, monitors model behavior, and shows how AI impacts business goals through easy-to-read dashboards. Designed for both technical teams and business stakeholders to collaborate on maintaining reliable AI systems.
Track model performance and data quality issues in real-time
Explain individual model decisions and system-wide patterns
Specialized tracking for unstructured data models
Connect model performance to business metrics via dashboards
Identify fairness issues using built-in metrics
Automates drift detection, provides root cause analysis, and enables model version comparisons
Yes, Censius offers a free tier to get started
Yes, provides business-friendly dashboards showing model ROI and performance
This tool is best for:
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Recent data shows that Censius has 13.3K monthly visits (13.2% increase from the previous month), 39.0% bounce rate, and average 1.73 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 29% of total traffic. SEO performance is shown by 5 tracked keywords, with "aiflow operstoes must know" being the top-performing keyword with 120 monthly searches. See below for more info.
Monthly Visits
13.3K
Pages per Visit
1.73
Bounce Rate
39.0%
Average Time on Site
15s
| SEO Keyword | Volume | CPC |
|---|---|---|
| aiflow operstoes must know | 120 | - |
| best practice of mlflow with aws services | 100 | - |
| censius ai | 230 | - |
| censius | 240 | - |
| airflow | 118.9K | $1.57 |
| Source | Traffic Share |
|---|---|
| Direct | 40% |
| Search | 44% |
| Social | 5% |
| Referrals | 10% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 29% |
 | 28% |
 | 14% |
 | 8% |
 | 6% |
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