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What is Aporia?

Aporia is a machine learning production monitoring platform to build models optimized to individual's cases and data.

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Recent Reviews

TrustRadius Insights

Aporia has become invaluable to businesses by addressing numerous business problems and improving the effectiveness of machine learning …
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On Premise
Up to 10K predictions per month


Custom Pricing

On Premise

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visit


  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Demos

Aporia (Team Immunity) Roamer review of Cybuckets


Let's Play! Aporia: Beyond The Valley - "Demo Build 2"

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Product Details

What is Aporia?

Aporia Integrations

Aporia Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Mac
Mobile ApplicationNo
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Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Aporia has become invaluable to businesses by addressing numerous business problems and improving the effectiveness of machine learning models. Users have praised Aporia for its user-friendly interface and easily interpretable metrics, which have allowed product managers to gain a better understanding of model performance and data. The platform's ability to screen errors at an early stage and provide deep visibility into production models has resulted in improved business outcomes and valuable insights for decision-making.

One of the key benefits of Aporia is its ability to automate manual data quality checks, saving time and effort for users by identifying data anomalies and detecting data drift in real time. By seamlessly integrating with existing data stacks, Aporia ensures that data lineage and versioning information are readily available for tracking and troubleshooting data issues. This streamlined approach has significantly improved the quality and reliability of data pipelines, helping models perform better and quickly identifying faults and bugs.

Additionally, Aporia's explainability tool has been instrumental in re-training models when problems arise, leading to interesting insights and ensuring model performance on new data seen in production. By centralizing all information in one location, Aporia provides convenience to users, making it easier to identify errors before they become serious problems.

Furthermore, Aporia's monitoring capabilities allow businesses to derive insights from their data and detect trends ahead of time, reacting quickly when needed. This saves time compared to previous methods and boosts efficiency when addressing performance issues. With its customizable alert system and intuitive interface, Aporia streamlines the investigation and resolution of problems by prioritizing top issues.

Overall, Aporia offers a comprehensive solution for businesses seeking to improve the accuracy, reliability, and efficiency of their machine learning models. From automating QA processes to providing advanced monitoring capabilities, Aporia helps businesses make informed decisions while maintaining data quality and delivering value to stakeholders.

Intuitive Interface: Multiple users have praised Aporia for its highly intuitive interface that makes it effortless to make sense of data. This user-friendly design enables both data scientists and individuals without a data science background to navigate and comprehend their data easily, leading to more informed decision-making.

Seamless Integration: Several reviewers have commended Aporia for its seamless integration with AWS and other tools. This integration allows users to view and understand their data more easily, analyze large amounts of information conveniently, and manage ML models in one place. The smooth operation and wide range of integration options provided by Aporia were seen as time-saving and valuable for solving real problems.

Improved Model Insights: Users from various backgrounds have highlighted how Aporia has improved their model insights and performance. Even individuals who are not data scientists appreciate the platform's explainability feature, which provides stakeholders with an understanding of the reasons behind predictions. This transparency increases confidence in the decision-making process and empowers non-experts to leverage data-driven approaches effectively.

Lack of Dedicated Support Area: Some users have expressed the need for a dedicated area within Aporia where they can ask questions and receive support.

Limited API and Older System/Databases Support: A few users have mentioned that they would like to see more APIs and better support for older systems and databases in Aporia.

Improvement Needed in User Interface: Some users feel that the user interface of Aporia could be improved visually, with specific mention of the desire for better dark theme support.

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