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Visualize Your ML

Production ML Dashboards

Create customized dashboards 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.

Building dashboards should be easy

After training your model and achieving a 95% accuracy rate, you’ve successfully deployed it to production. But what’s next? Practitioners note that building production dashboards can take anywhere from 4 to 12 months. After investing so much effort and time into developing your model, shouldn’t you also reap the rewards when it performs?

Think Grafana, but on steroids.

Design > Data Processing & Transformation > Development > Integration > Testing OR Aporia.

  • Minutes after integrating Aporia into your pipeline, get a detailed dashboard for every live model.
  • Get a live, unified view of all your models in one place.
  • Track model activity, inference trends, data behavior, actual model performance (F1, Precision, RMSE, etc.) and more.

Customize widgets however you want

Your model, your story. Understand every detail and tailor the system to fit your unique needs.

  • Drag and drop widgets to build dashboards in minutes.
  • Customize your dashboards to showcase the metrics, graphs, and KPIs that matter to you.
  • Create multiple dashboards for each model tailored to every stakeholder and say goodbye to last-minute custom report requests on Fridays!

Segments assist in presenting the full story

Each model runs on various segments; assess their unique performance with segmentation.

  • Create multi-segment visualizations
  • Measure and compare segment behavior and performance.
  • Explore sub-performing patterns of tabular, NLP, LLM and CV models.
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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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