ML Monitoring
for your Models
in Production

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.

Detect Drifts, Bias and Integrity Issues

Want to ensure your model is not making biased predictions against Gotham City residents between the age of 25 to 40?

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

Aporia also offers important data segments automatically – not necessarily where Batman lives

Monitoring That’s 
 Almost as Smart as You

Create monitors for your ML models in production with our magically simple monitor builder and get alerts instantly for issues like concept drift, performance degradation and more.

Naturally Fits in Your Workflow

Using MLFlow or Weighis & Baiases for experiment tracking? Want to get alerts on Slack or Microsoft Teams? Already have an existing infra monitoring solution like Prometheus & Grafana? No problem.
Aporia’s Explainable AI makes it easy to understand Customer LTV predictions and ensures your business can trust model predictions. Effortlessly investigate datapoints to gain insights on how to improve LTV predictions and increase profits.Gain valuable insights with Aporia’s Explainable AI and easly share them with relevant stakeholders. Simulate “What if” situations and learn which features drive the most impact on your recommendations.

Detect Drifts, Bias and Integrity Issues

Want to ensure your model is not making biased predictions against Gotham City residents between the age of 25 to 40?

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

Aporia also offers important data segments automatically – not necessarily where Batman lives

Monitoring That’s 
 Almost as Smart as You

Create monitors for your ML models in production with our magically simple monitor builder and get alerts instantly for issues like concept drift, performance degradation and more.

Naturally Fits in Your Workflow

Using MLFlow or Weighis & Baiases for experiment tracking? Want to get alerts on Slack or Microsoft Teams? Already have an existing infra monitoring solution like Prometheus & Grafana? No problem.
Aporia’s Explainable AI makes it easy to understand Customer LTV predictions and ensures your business can trust model predictions. Effortlessly investigate datapoints to gain insights on how to improve LTV predictions and increase profits.Gain valuable insights with Aporia’s Explainable AI and easly share them with relevant stakeholders. Simulate “What if” situations and learn which features drive the most impact on your recommendations.

Get the most out of your Models

Let’s talk

Improve models in
production

Improve models in production

Know the why behind your
model's predictions

Know the why behind your model's predictions

Create automated & customized
monitoring tailored to your
specific use cases and models

Create automated & customized

See a live view of all
models in one place

See a live view of all models in one place

Instantly detect data drift,
bias & data integrity issues

Instantly detect data drift, bias & data integrity issues

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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