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ML Observability for
NLP Models

Ensure your Natural Language Processing Models are performing as intended with real-time model monitoring, live drift alerts, and explainability.

Customizable ML Monitoring for Language Models

Track language model activity, inference trends, data behavior, actual model performance, and more with Aporia’s completely customizable monitoring to support your needs.

Leverage Aporia’s ML monitoring to detect embedding drift, unexpected bias, data integrity issues, and performance degradation in your models. With live alerts and insights it’s finally possible to avoid those PR nightmares.

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See Drift & Bias in Your NLP Model in Real-Time

Easily view all of your Language Models in one place and instantly build your own custom dashboards for each specific use case. From sentiment analysis to topic tagging, gain the most relevant insights about your model at any time.

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Explain Your NLP Predictions

Use Aporia’s Explainability & Root Cause Investigation toolbox to quickly evaluate feature importance for your language model, detect Covariate Shift using your models’ embeddings, and investigate any prediction from production on-demand.

Want to communicate predictions to all relevant stakeholders? You’re just a couple of clicks away from creating a simple explanation for your whole team.

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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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