Sold by: AporiaÂ
Aporia empowers organizations with real-time ML monitoring and production visibility to ensure high model performance. By centralizing all your models under a single hub, data science and ML teams are able to easily scale production ML, showcase the value of their models, and achieve business goals.
Overview
Aporia empowers organizations with real-time ML monitoring and production visibility to ensure high model performance. By centralizing all models under a single hub, data science and ML teams are able to easily scale production ML, showcase the value of their models, and achieve business goals.
The Aporia ML Observability Platform supports a wide range of ML use cases, including recommendation systems, demand forecasting models, credit risk assessment, and dynamic pricing, among others. With automated monitors and dashboards out-of-the-box, Aporia provides a quick setup that enables ML stakeholders to start monitoring all of their data in minutes. Additionally, Aporia comes equipped with fully customizable options to tailor monitors, dashboards, metrics, and more to your specific needs, use cases, and business KPIs. Whether through explainable AI, drift and bias detection, or root cause analysis, Aporia offers a suite of flexible tools to facilitate Responsible AI practices and enable compliance with the most rigorous security, fairness, and compliance standards.
Aporia was founded in 2019 and is the leading ML Observability Platform trusted by Fortune 500 companies and industry leaders that rely on the quality and accuracy of machine learning predictions to efficiently manage production ML and drive revenue.
For custom pricing, EULA, or a private contract, please contact sales@aporia.com for a private offer.
Highlights
- Ensure high model performance by monitoring for drift, model degradation, bias, and data integrity issues at scale
- Integrate ML observability in 7 minutes and connect directly to your data sources (like Redshift, S3, Athena) without duplicating your data
- Centralize all models under a single hub, track key metrics, and customize dashboards, monitors, metrics, and segments to fit your specific use case.
Details
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Aporia | Aporia's ML Observability Platform - Explorer Tier | $25,000.00 |
Vendor refund policy
Customer has the right to renew their agreement on an annual basis.
Legal
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
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64 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Filipe S.
Essential ML monitoring but now part of bigger platform
Reviewed on Oct 23, 2025
Review provided by G2
What do you like best about the product?
The range of features is impressive—it can detect data drift, bias, data integrity issues, and performance degradation in production ML models. The platform is very user-friendly, offering a straightforward monitor builder that allows you to set up over 50 customizable monitors within minutes. Implementation was fast; I was able to access detailed dashboards for live models just minutes after integrating. I use it daily to monitor production models. Integration is flexible, supporting both automated monitors and code-based Python monitors for custom logic. AI guardrails are effective at detecting and resolving errors in real time, including hallucinations and prompt attacks. The embedding monitoring feature is also valuable for optimizing language model performance.
What do you dislike about the product?
Since Coralogix acquired in December 2024, the future direction of the product has become uncertain, as it is now being integrated into a broader platform. Access now requires a full Coralogix subscription, which is pricier than when Aporia was available as a standalone product. Customer support has also been in a state of transition following the acquisition. The custom dashboard builder presents a learning curve, especially for more complex scenarios. Additionally, the documentation could offer more depth for those seeking advanced customization. Some features still feel like they are in the early stages and would benefit from further refinement.
What problems is the product solving and how is that benefiting you?
I use it for monitoring ML models in production—tracking data drift, detecting bias, monitoring performance degradation, and setting up guardrails for LLM applications to prevent hallucinations and security issues.
Jason H.
Aporia saved our SaaS platform from AI chaos.
Reviewed on Oct 17, 2025
Review provided by G2
What do you like best about the product?
Aporia’s real-time model monitoring is a godsend, it flags data drift and performance hiccups instantly, so our recommendation engine stays on point. I love the clean dashboards. Last month, I used them to show our CTO why our churn predictions were off, and we fixed it in a day instead of weeks. Setting it up with our Snowflake data warehouse was a snap, and the Slack alerts keep our team in the loop without micromanaging.
What do you dislike about the product?
The lack of native support for our legacy MySQL setups meant we had to patch together some connectors, which was a pain for our lean developers team. Also, the advanced analytics can overwhelm new users, our intern spent a week getting the hang of custom monitors because the tutorials assume more experience.
What problems is the product solving and how is that benefiting you?
Our SaaS platform was bleeding users because our AI-driven churn predictions kept missing the mark, and our engineers were stuck manually digging through logs to find out why. Aporia’s automated drift detection and clear explainability reports have cut our troubleshooting time by half and boosted prediction accuracy by 18%, driving a 10% uptick in user retention. This has freed our team to ship a new personalization feature three months ahead of schedule, which just helped us close a $2M enterprise deal by proving our AI’s trustworthiness.
andré P.
A Smart and Reliable Platform for Monitoring Machine Learning Models
Reviewed on Oct 16, 2025
Review provided by G2
What do you like best about the product?
What I like most about Aporia is how effortlessly it brings transparency and control into our machine learning workflows. The interface is clean and intuitive, so we can quickly detect and investigate issues in production models without needing endless dashboards or manual checks. I also appreciate how easy it was to integrate Aporia with our existing ML stack, including frameworks like TensorFlow and scikit-learn. The support team is knowledgeable and responsive, always ready to clarify technical details or guide us through new features.
What do you dislike about the product?
Aporia works exceptionally well overall, but the initial configuration for complex environments can be a bit time-consuming. Once everything is connected, it runs smoothly, but setting up detailed monitoring for several models at once might require additional tuning. That said, their documentation and support make the process much easier.
What problems is the product solving and how is that benefiting you?
Aporia helps us detect model drift, data inconsistencies, and performance degradation in real time, issues that would otherwise take days to identify manually. It has significantly reduced downtime and improved model reliability, ensuring that our predictions stay accurate and trustworthy. By consolidating all monitoring data into a single, unified view, Aporia saves us time and improves collaboration between data science and engineering teams. Its automation and alerting features also mean we can respond to issues faster and more confidently.
Information Services
"My View on Aporia: A Real time Monitoring Tool"
Reviewed on Oct 12, 2025
Review provided by G2
What do you like best about the product?
You don't have to configure any code to use Aporia, It is one of the best Monitoring tool for Business Use cases.
What do you dislike about the product?
It has an Inbuilt monitoring tool, it doesn't offer features for model training, versioning or deployment
What problems is the product solving and how is that benefiting you?
I want a proper tool to trigger an alerts when threshold is breached, also it should monitor the tool with precision, accuracy, recall options to cater all these needs, this is the best tool.
Nartey T.
Try Aporia for a different experience
Reviewed on Nov 25, 2024
Review provided by G2
What do you like best about the product?
AI observability platform that empowers companies to deploy and manage AI products responsibly and efficiently.
What do you dislike about the product?
Efficiency, user friendly and over all easy step by step approch
What problems is the product solving and how is that benefiting you?
using AI to fast track work and to maximize Productivity