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ML Observability for
Credit Risk Models

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).

Monitor Your Data Quality

Data quality is everything when it comes to modeling Credit Risk. Anything from key missing values and bias outcomes to uncaught outliers can render your mission critical risk model useless.

Aporia’s customizable monitoring capabilities will put your stakeholders at ease knowing that real-time data quality checks will alert them to any issues before a single cent is sent.

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Live Monitoring for Credit Risk Models in Production

Your model needs a clear and complete view of the data, as you need of your production models. Gain the most insights, customize widgets, and see everything you need to know about your Credit Risk models with Aporia’s customizable dashboards.

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Explainability for Profit, Compliance, & Fairness

Leverage Aporia’s Explainable AI and Root Cause Analysis toolbox to drill down into your model’s decision-making process and ensure that it’s not only driving its intended value but also in compliance with regulation and meeting fairness expectations.

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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


“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

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