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Computer Vision and NLP

Get the full picture of your Computer Vision and NLP models

Continuously track data drift, detect model degradation, and spot biases in object detection and classification.

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Model monitors & alerts

Get live alerts in Slack, MS Teams, or email when Aporia detects drift in image classifiers, object recognition biases, pixel-level data integrity issues, or faltering precision and recall in your Computer Vision models.

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ML dashboards & visibility

Gain a centralized view of all your vision models under a single hub. Track model activity, image classification trends, visual data behavior, and performance metrics specific to object detection and image segmentation.

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Production IR & explainability

Seamlessly investigate root causes in a collaborative, notebook-like environment. Perform segment and drift analyses, visualize features, generate embedding projections, and decipher the cryptic layers of Computer Vision with explainability insights.

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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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