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Tabular Models

Get more out of your tabular models

Detect drift, track key metrics, and investigate production data to ensure your tabular models are accurate, effective, and robust.

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Model monitors & alerts

Get live alerts straight to Slack/MS Teams/email when drift, bias, performance degradation, or data integrity issues are detected. Easily customize monitors and tailor metrics to fit your use case and needs.

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ML dashboards & visibility

Gain a centralized view of all your models under a single hub. Track model activity, inference trends, data behavior, and model performance in segments or as a whole.

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Production IR & explainability

Slice and dice production data in a notebook-like experience to pinpoint when, where, and why ML issues originated. Identify new connections, patterns, and opportunities to improve model performance.

Use explainability to measure feature impact and easily communicate the logic behind your predictions to key stakeholders.

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Don't let AI risks damage your brand

Control all your AI Apps in Minutes

AI Governance, Compliance, & Responsible AI

Data privacy and compliance with GDPR are crucial to the success of your organization. That’s why we take a “no data leaves your cloud” approach to our services, ensuring that your data remains under your control at all times.

Take a proactive approach on AI governance and ensure your organization is practicing responsible AI with Aporia. Be confident that your data is protected and that your use of AI is ethical and responsible.

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Maximize Business Impact with Aporia

With Aporia, you can rest assured that your machine learning models are delivering the maximum value to your organization.

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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

VP R&D

“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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