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The Best Performing

ML Models are
Visualized

Centralize your production ML to maximize its impact

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Loved & Trusted by
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See Your Models Shine in Production

Showcase the value of your production ML with single pane of glass visibility and advanced model monitoring. Gain peace of mind knowing your models are performing at their best and driving ROI.

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Machine learning monitoring for Fraud Detection Models in production
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Machine learning monitoring for Demand Forecasting Models. When Demand Forecasting Model has Missing Values anomaly.
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Quick & Easy Integration with Direct Data Connectors

Start monitoring all your models in less than 7 minutes and create a single source of truth to guarantee your production data is reliable.

Tap into the power of ML observability directly from your data source. With DDC, your data science & ML teams maintain full visibility over production models while ensuring your data's privacy and security.

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Custom Metrics for Maximum Versatility

Create custom metrics to analyze production data in ways that tailor to your Business KPIs and goals.

Utilize custom metrics to gain unparalleled visibility into your model performance, enabling you to effectively troubleshoot and optimize your production models for improved ML and business outcomes.

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Clear Visibility to Production ML

Get a unified view of all your models under a single hub. Keep an eye on model activity, inference trends, data behavior, model performance (f1 score, Precision, RMSE, etc).



Uncover the mysteries and wonders of production ML by exploring Aporia's treasure chest of visualization tools - the more you explore, the more insights you'll gain.

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Monitor Drift, Bias & Data Integrity Issues

Just like a sudden rain shower on a sunny day, drift and bias can catch even the best-performing models off guard.

Zoom into specific data segments to track model behavior. Detect unexpected biases, underperformance, drifting features, and data integrity issues.

Reduce the impact of incorrect predictions while maintaining the integrity of your models in production.

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Save Time, Create Value for the Whole Team & More

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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

Bring model performance to life and identify areas for optimization with Aporia’s live dashboards. 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 seamlessly 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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Support Any Use Case

You know your models best. Whether you want to streamline workflows, improve customer engagement, or drive sales, monitoring your models’ output is essential to easily improve performance. Explore our range of use cases and see how we can help you reach your goals.

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Customer LTV

Monitor behavior patterns, segment customers, and take action accordingly to ensure that the customers you invest in generate revenue and profits.

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Recommender Systems

Scale recommender systems in production. Drive more revenue, increase conversions and engagement, and enhance trust in your models’ recommendations.

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Dynamic Pricing

Boost sales and respond quickly to changes in market demand, inventory levels, and competitor pricing to ensure you’re not outpricing potential customers.

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Lead Scoring

Ensure your Lead Scoring Model is providing its intended value so that you can nurture the leads that will actually lead your business to success.

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Churn Prediction

Win back customers by increasing retention rate and accurately predicting customer churn rate with

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Credit Risk

Ensure that your Credit Risk Model performs as intended so that you can rest easy knowing that your loans are compliant, fair, and repaid (with interest, of course).

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Fraud Detection

Ensure your Fraud Detection Model works as intended so that you keep the customers that generate your revenue and profit -- and ditch the bad eggs.

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Demand Forecasting

Improve your business's ability to capitalize on ever-changing demand and ensure that you aren't missing out on sales nor losing money on wasted inventory

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NLP

Ensure your Language Models are performing as intended with real-time model monitoring, live drift alerts, and explainability.

Quick Setup & Integrations

DevOps Infrastructure Monitoring

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New Relic

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Grafana

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Prometheus

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DataDog

Cloud Providers

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Google Cloud Storage

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Azure Blob Storage

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Amazon S3

ML Frameworks

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TensorFlow

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LightGBM

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Hugging Face

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Scikit Learn

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PyTorch

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dmlc XGBoost

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CatBoost

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Spark MLib

Data Sources

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Amazon S3

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Glue

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Snowflake

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BigQuery

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Databricks

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Azure Blob Storage

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Redshift

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PostgreSQL

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Athena

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Delta Lake

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Spark

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Ray

Alerting Integrations

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Slack

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Microsoft Teams

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Jira

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PagerDuty

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Opsgenie

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Email

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Webhook

MLOps - Complementary MLOps Tools

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MLFlow

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Kubeflow

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KServe

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Sagemaker

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Vertex AI

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Azure ML

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DVC

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Feast

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Weights & Biases

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ClearML

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Loved By

See why data scientists, ML engineers, and R&D love using Aporia.

Orr Shilon

ML Engineering Team Lead

“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.”

Orr Shilon

ML Engineering Team Lead

Aviram Cohen

VP R&D

“ML models are sensitive when it comes to application production data. This unique quality of AI necessitates a dedicated monitoring system to ensure their reliability. I anticipate that similar to application production workloads, monitoring ML models will – and should – become an industry standard.”

Aviram Cohen

VP R&D

Guy Fighel

General Manager AIOps

“With Aporia’s customizable ML monitoring, data science teams can easily build ML monitoring that fits their unique models and use cases. This is key to ensuring models are benefiting their organizations as intended. This truly is the next generation of MLOps observability.”

Guy Fighel

General Manager AIOps

Daniel Sirota

Co-Founder | VP R&D

“ML predictions are becoming more and more critical in the business flow. While training and benchmarking are fairly standardized, real-time production monitoring is still a visibility black hole. Monitoring ML models is as essential as monitoring your server’s response time. Aporia tackles this challenge head on.”

Daniel Sirota

Co-Founder | VP R&D

Lukas Olson

Data Scientist

“We develop and deploy models that impact students’ lives across the country, so it’s crucial that we have good insight into model quality while ensuring data privacy. Aporia made it easy for us to monitor our models in production and conduct root cause analysis when we detect anomalous data.”

Lukas Olson

Data Scientist

Carlos Leyson

Data Scientist

“As an early stage startup, starting to launch ML models in the fintech sector, monitoring the predictions and changes in our data is critical, and Aporia has made it easy by providing the right integrations and is easy to use.”

Carlos Leyson

Data Scientist

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Start using Aporia now

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