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Custom ML
Observability
For Your ML Models

Create ML monitoring tailored to your specific needs, models, and use cases in minutes. Customize metrics and dashboards to bring model performance to life with Aporia’s ML observability platform.

Custom Monitoring for Any Use Case

Use Aporia’s magically-simple monitor builder to create over 50 different customizable monitors for data drift, bias, data integrity issues, performance degradation, and more in minutes.

Choose from automated monitors or code-based monitors to create ML monitoring that fits your specific use case and models.

Custom Views & Dashboards

Get a single pane of glass with everything you need to know about your models in production with Aporia. Instantly build your own custom dashboards for your specific model use case. From fraud detection to demand forecasting, and credit risk, gain the most relevant insights about your ML models at any time.

Custom Metrics & Code-Based ML Monitoring

Want to implement your own custom monitoring logic? Or define your own monitoring metrics?

Select Absolute Values, Anomaly Detection, or Change in Percentage to begin creating your own custom metrics – or take customized monitoring to the limit with Aporia’s code-based Python monitors.

Ensure your models are performing at their best, always

Thousands of data science & ML teams use us to achieve their AI goals

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Save Time, Create Value for the Whole Team & More

All ML stakeholders benefit from a custom ML observability experience

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Build & Retrain

#Data Scientist #ML Engineer #Product Manager

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Integrate & Deploy

#ML Platform Engineer #MLOps Engineer

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Analyze & Measure ROI

#Analyst #Business Stakeholder

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Build & Retrain

#Data Scientist #ML Engineer #Product Manager

Customize Aporia’s ML monitoring and dashboards to identify areas for model optimization, and translate insights into action. Track key metrics and easily detect drift, performance degradation, and model decay to ensure your models are always performing at their best. Understand feature impact with XAI and investigate the root cause of any issue in production.

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Integrate & Deploy

#ML Platform Engineer #MLOps Engineer

In under 7 minutes, deploy Aporia on your AWS, Google Cloud, Azure, or Databricks account. Centralize Connect directly to the data source where you store your models’ predictions, whether on BigQuery, Snowflake, PostgreSQL, S3, or any other data store.

Integrate seamlessly with other MLOps tools, like Vertex AI, MLFlow, Sagemaker, and Kubeflow, and get a unified view of all your models in production.

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Analyze & Measure ROI

#Analyst #Business Stakeholder

Aporia helps to reduce costs and improve the ROI of machine learning projects. Customize dashboards to highlight business metrics that drive revenue. By leveraging Aporia's advanced analytics capabilities, gain deep insights into the value your models provide and how it impacts the business.

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Orr Shilon

ML Engineering Team Lead

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As a company with AI at its core, we take our models in production seriously. Aporia allows us to gain full visibility into our models' performance and take full control of it.

Book a demo >
Book a demo >

How Do We Do It?

Custom Metrics for Maximum Versatility

Create ML monitoring tailored to your specific needs, models, and use cases in minutes with Aporia’s ML observability platform.

Clear Visibility to Production ML

Tailor dashboards to your needs for each one of your production models. Easily track the most important metrics, identify areas for improvement, and ensure your models are on the right track.

Monitor Drift, Bias & Data Integrity Issues

Proactive monitoring ensures your production models maintain high performance and reliability. Quickly detect drift, bias, performance degradation, and other production issues before they impact your business.

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Ready for your demo?