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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 […]
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MLOps is critical for successful machine learning deployments, but managing the ML lifecycle can be challenging. Aporia's ML observability platform can help you streamline your MLOps pipeline by providing real-time model monitoring, model explainability, and seamless integration with your existing MLOps tools and workflows. With Aporia, you can accelerate the delivery of your ML applications and ensure the reliability, scalability, and repeatability of your ML models.
Thousands of data science & ML teams use us to achieve their AI goals
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
Aporia’s MLOps platform streamlines your ML workflow to maximize efficiency.
Simplify your MLOps workflow with Aporia. Visualize ML metrics, compare models with ease.
Track your ML models with Aporia's Quick & Easy Setup. Detect drifts early and optimize your MLOps workflow.
Detect drift & model degradation, gain valuable insights, and ensure ML ROI.
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
