AIQ Monitor

Unified Monitoring and Performance Management for your production ML models

model insights | data drift | bias | governance

Machine Learning Monitor

Automate Monitoring for ML Models

Unified dashboard enforcing collaboration among Data Scientists, MLOps team and Business to collectively monitor model performance and resource consumption to reduce cost and at the same time improve efficiency of machine learning models

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How It Works
How It Works
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Rule Engine & Model Insights
Customize predictions to your Business Needs
Setup stakeholder specific alerts
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Rule Engine & Model Insights
Customize predictions to your Business Needs
Setup stakeholder specific alerts
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Data Drifts
Track feature, data drift from live data
Continuous monitoring for anomalies
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Data Drifts
Track feature, data drift from live data
Continuous monitoring for anomalies
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Explainability| Bias Detection
Pre-built explainability models for specific algorithms and predictions
Track for bias creep in your models and scores
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Explainability| Bias Detection
Pre-built explainability models for specific algorithms and predictions
Track for bias creep in your models and scores
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Privacy preserved inference
Monitor for privacy related data leaks
Alert on PHI/PII information in your data
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Privacy preserved inference
Monitor for privacy related data leaks
Alert on PHI/PII information in your data
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Monitor. Bias. Governance!
Monitor.
Bias.
Governance!

Monitor model performance and resource utilization along with bias and data drift at real-time by automating model monitor and thereby reducing cost

Monitor model performance and resource utilization along with bias and data drift at real-time by automating model monitor and thereby reducing cost

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We are here to truly “democratize AI”. Machine learning companies today have been focused on helping with building AI models, but in order to truly democratize AI and make it truly accessible to everyone, companies need to be ready to also ‘manage’ AI, not just build it. The AI talent gap is real, and we will help address it by reducing the dependence of expert engineers in managing AI systems.

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