Overview
Product video
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
Dimension | Description | Cost/12 months |
---|---|---|
Aporia | Aporia's ML Observability Platform - Explorer Tier | $25,000.00 |
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Customer has the right to renew their agreement on an annual basis.
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