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ML Observability for
Dynamic Pricing

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

Centralized Visibility for Pricing Models

Gain the most insights into what is influencing your pricing models with Aporia’s live dashboards. Easily configure widgets so that everything you need to know is up-to-date and viewable on demand – from competitor pricing and seasonal effects to your models’ most impactful features.

Aporia Dynamic Pricing

Live Monitoring for Dynamic Pricing in Production

Experiencing high churn? Dynamic pricing too aggressive? Customize metrics and monitors to track drift and model performance as a whole or by segment to improve your pricing strategy and maximize your pricing predictions.

Aporia Dynamic Pricing

Explain & Investigate Your Pricing Predictions

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.

Aporia Dynamic Pricing

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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