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See Aporia
in Action

Book a demo and see how to easily monitor, explain, and improve your ML models with Aporia’s Customizable ML Observability.

Mitigate Risks in Production Models

Create systems that are data-driven and require little to no human intervention. Make your processes work more accurately and at scale.

Accelerate IT Performance

Produce more accurate predictions. Get the most from metrics that are key in making a cost-benefit analysis.

Build Trust and Deploy Responsibly

Provide ML stakeholders with insights into how the model interacts with the data and users it comes in contact with.

Detect Model Decay

Eliminate the effects of data drift and concept drift on the performance of an ML model.

Mitigate Risks in Production Models

Create systems that are data-driven and require little to no human intervention. Make your processes work more accurately and at scale.

Accelerate IT Performance

Produce more accurate predictions. Get the most from metrics that are key in making a cost-benefit analysis.

Build Trust and Deploy Responsibly

Provide ML stakeholders with insights into how the model interacts with the data and users it comes in contact with.

Detect Model Decay

Eliminate the effects of data drift and concept drift on the performance of an ML model.

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Get the most out of your Models

Let’s talk
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Improve models in
production

Improve models in production

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Know the why behind your
model's predictions

Know the why behind your model's predictions

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

Create automated & customized

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See a live view of all
models in one place

See a live view of all models in one place

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Instantly detect data drift,
bias & data integrity issues

Instantly detect data drift, bias & data integrity issues

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Loved By

See why Data Scientists, ML Engineers and Business Stakeholders love Aporia.

Aporia is a leader in AI & Machine Learning Operationalization on G2
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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