Everything you need for AI Performance in one platform.
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Fundamentals of ML observability
Metrics, feature importance and more
We’re excited ???? to share that Forbes has named Aporia a Next Billion-Dollar Company. This recognition comes on the heels of our recent $25 million Series A funding and is a huge testament that Aporia’s mission and the need for trust in AI are more relevant than ever. We are very proud to be listed […]
Should you Buy or Build an in-house ML Observability solution? | Download our ebook to learn more!
Aporia’s full-stack ML observability solution gives data scientists and ML engineers the visibility, monitoring and automation, investigation tools, and explainability to understand why models predict what they do, how they perform in production over time, and where they can be improved.
Thousands of data science & ML teams use us to achieve their AI goals. ML observability is a competitive advantage for your ML team as the more observability that you have, the more insights your team can gain from the models and their behavior.
Monitor, Visualize, & Improve Your Models in Production
Centralized, real-time view of model health & performance
Detect drifts, bias and data integrity issues
Get to the root cause and improve models with production data
Know the why behind your models predictions
Create ML monitoring tailored to your specific needs, models, and use cases in minutes with Aporia’s ML observability platform.
Tailor dashboards to your needs for each one of your production models. Easily track the most important metrics, identify areas for improvement, and ensure your models are on the right track.
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.
You know your models and use case best. Customize monitoring based on your specific requirements to ensure your models stay on track and perform at their peak.
Monitor behavior patterns, segment customers, and take action accordingly to ensure that the customers you invest in generate revenue and profits.
Boost sales and respond quickly to changes in market demand, inventory levels, and competitor pricing to ensure you’re not overpricing potential customers.
Scale recommender systems in production. Drive more revenue, increase conversions and engagement, and enhance trust in your models’ recommendations.
Ensure your Lead Scoring Model is providing its intended value so that you can nurture the leads that will actually lead your business to success.
Win back customers by increasing retention rate and accurately predicting customer churn rate with
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).
Ensure your Fraud Detection Model works as intended so that you keep the customers that generate your revenue and profit -- and ditch the bad eggs.
Improve your business's ability to capitalize on ever-changing demand and ensure that you aren't missing out on sales nor losing money on wasted inventory
Ensure your Language Models are performing as intended with real-time model monitoring, live drift alerts, and explainability.
Aporia naturally fits into your workflow
“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.”
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."
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.”
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.”
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.”
Co-Founder | VP R&D
