Censius AI

What is Censius AI?

Censius AI is an AI Observability and Model Monitoring Platform that offers end-to-end observability for machine learning models. It provides automated monitoring, proactive troubleshooting, and actionable recommendations for improving model performance. By leveraging advanced monitoring techniques, Censius AI enables teams to track key metrics, identify issues, and optimize model performance in real-time. The platform also offers features such as model explainability, performance analytics, and data quality monitoring to ensure reliable and accurate model outcomes. The platform is user-friendly, integrates seamlessly with existing AI workflows, and supports popular AI frameworks, empowering teams to continuously monitor and enhance the performance of their AI models. If you want more information, you can reach out to Censius AI at [email protected].

Who created Censius AI?

Censius was created by a team led by a Web Engineer named Rajat Soni at Factmata. The Censius AI Observability and Model Monitoring Platform, developed by this team, offers comprehensive insights into the behavior and effectiveness of AI models, emphasizing observability and providing actionable recommendations for model performance improvements. The platform's user-friendly interface and integration capabilities empower teams to continuously enhance their AI models for more reliable and accurate results.

What is Censius AI used for?

• Compare different model versions
• Conduct data & feature quality checks
• Verify model performance using metrics
• Automate post-production workflow
• Collect traffic and metadata logs
• Continuously monitor models for drifts
• Perform root cause analysis
• Explain decisions to customers with clarity
• Detect and analyze model drifts
• Monitor data quality
• Proactively detect suspicious patterns
• Quantify the ROI of ML models
• Validate model performance using metrics
• Monitor models for drifts
• Visualize model performance in dashboards
• Automate monitoring to detect drifts and outliers
• Detect suspicious patterns and explain decisions to customers with clarity
• Quantify the ROI of ML models with customized dashboards
• Derive possible ROI out of ML initiatives
• Get real-time alerts on preferred channels

Who is Censius AI for?

• Machine learning engineers
• Product and Business Stakeholders
• Data scientists

How to use Censius AI?

To use Censius, follow these steps:

1. Integrate SDK: Register models, log features, and capture predictions using Java & Python SDKs or REST API with just a few lines of code.

2. Set up Monitors: Choose from various monitor configurations to track the entire ML pipeline, including monitoring data quality, drifts, performance, bias, and traffic.

3. Observation: Register models, log features, and capture predictions in a few lines of code to observe the system.

Censius empowers different stakeholders:

• Machine Learning Engineers can detect and analyze model drifts, get root cause analysis of decisions, analyze performance of cohorts, and automate monitoring.
• Product and Business Stakeholders gain end-to-end visibility of model performance and build trust with explainability, along with studying business ROI.
• Data Scientists monitor data quality, understand feature distribution, compare model versions, and automate monitoring to ensure consistent performance and ROI.

Additionally, Censius offers features like custom monitors, explainability for blackbox AI decisions, dashboards for analysis and sharing, customizable alerts, and a project hierarchy for better organization. Censius also provides a 14-day free trial for evaluation and ensures transparency and communication through monitors and dashboard reports. For more information, contact Censius at [email protected].