Black Background Black Background

Explainable AI
For Your ML Models

Drive business impact with transparent and explainable AI. Get started in minutes with Aporia’s ML monitoring and explainability solution.

Explainability for the Whole Team & More

With Aporia’s advanced Explainable AI toolbox, you can understand the ‘Why’ behind your ML model predictions. Discover which features impact your predictions the most, and easily communicate model results to key stakeholders. Using XAI, you can also simulate “What If” scenarios to see how they will affect your model.

Get to the Root Cause

Find the root cause of any issue and discover when it started using our Data Points and Time Series Investigation Tools.

Aporia makes it easy to slice and dice your data to quickly drill down into your model’s data points and the impact on prediction results.

Investigate & Debug Your Models

With Aporia, you can analyze how your models arrive at their predictions, understand how a change in a feature impacts a prediction, and prevent issues like bias and drift in the future.

Use our Data Point Explainer to debug your data at a specific point, and then re-explain in one click.

Explainability for the Whole Team & More

With Aporia’s advanced Explainable AI toolbox, you can understand the ‘Why’ behind your ML model predictions. Discover which features impact your predictions the most, and easily communicate model results to key stakeholders. Using XAI, you can also simulate “What If” scenarios to see how they will affect your model.

Get to the Root Cause

Find the root cause of any issue and discover when it started using our Data Points and Time Series Investigation Tools.

Aporia makes it easy to slice and dice your data to quickly drill down into your model’s data points and the impact on prediction results.

Investigate & Debug Your Models

With Aporia, you can analyze how your models arrive at their predictions, understand how a change in a feature impacts a prediction, and prevent issues like bias and drift in the future.

Use our Data Point Explainer to debug your data at a specific point, and then re-explain in one click.

Infinite Campus Logo
Armis Logo
BSH Logo
Lemonade Logo
New Relic Logo
Munich RE Logo
Sixt Logo
Appriss Retail Logo
DataBricks Logo
Klue Logo
AWS Logo
Sunbit Logo
Grover logo
Clear Logo
Paxful Logo
NVIDIA Logo
Forbes Logo
VentureBeat Logo
TechCrunch Logo
Business Insider Logo

Get the most out of your Models

Let’s talk
Icon Graphic

Improve models in
production

Improve models in production

Icon Graphic

Know the why behind your
model's predictions

Know the why behind your model's predictions

Icon Graphic

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

Create automated & customized

Icon Graphic

See a live view of all
models in one place

See a live view of all models in one place

Icon Graphic

Instantly detect data drift,
bias & data integrity issues

Instantly detect data drift, bias & data integrity issues

Look what our customers have to say about us

“In a space that is developing fast and offerings multiple competing solutions, Aporia’s platform is full of great features and they consistently adopt sensible, intuitive approaches to managing the variety of models, datasets and deployment workflows that characterize most ML projects. They actively seek feedback and are quick to implement solutions to address pain points and meet needs as they arise.”

Felix D.

Principal, MLOps & Data Engineering

“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

“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

“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

“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

Lemonade Logo
Armis Logo
New Relic Logo
Arpeely Logo
Green Background

See how Aporia can grown your number before end of quarter

Try Aporia Now