The Performance platform for your AI stack

Monitor, control, and investigate
all your AI models in one place.

ML Practitioners and leaders use Aporia to:

  • Simplify data troubleshooting – swiftly identify root cause and focus on model building
  • Save months on building monitoring in-house – integrate Aporia to fast-track your AI
  • Control Generative AI products – mitigate hallucinations before they impact your end user
Trusted by leading ML practitioners
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AI in a global scale

The backbone for your production AI

Using AI Guardrails and ML Observability, Aporia helps ML teams ensure optimal AI performance. Fast track your ML time to market, reduce risks in production, and meet KPIs with agile, responsible, and high-impact AI products.


predictions monitored for drift, bias, and performance degradation.


is required to perform root cause analysis and solve any type of drift.


of hallucinations are detected and mitigated before impacting your users.

Mitigate hallucinations

Control LLM interactions in real time to ensure high performance and output quality.

Cut production costs & time to market

Integrate Aporia in minutes to fast-track model deployment and bypass time-consuming and costly in-house maintenance and monitoring.

Solve ML pipeline issues swiftly

Easily troubleshoot production issues, allowing you to focus on building more models.

Everything you need for AI Performance in one platform

ML Observability

Focus on building more models, not maintaining them.

Using ML Observability, you ensure that all of your production models work as they should. Monitor billions of predictions, and when something breaks, use root cause analysis to investigate alerts and enhance model performance.

Root Cause Analysis
AI Guardrails

Mitigate hallucinations, fast-track your LLM time to market

AI Guardrails provides real-time visibility, detection and control over Gen-AI product performance. Guardrails is layered between the user and your Gen-AI product interface to the LLM/API. Control your prompts and responses to ensure your Gen-AI is fair, secure, and driving value for your organization.

Chat Moderation
Hallucination Mitigation
Cost Tracking
Prompt Injection Prevention
Session Explorer
Designed for ML Practitioners

Tailored to your use case with powerful and easy-to-use integrations

Avoid wasting time on production maintenance and firefighting data issues. Integrate Aporia into your ML stack to focus on advancing core ML projects with zero-sampling observability. Tailor Aporia’s dashboards and monitoring to fit your models and use cases.


Native ML stack integration

Integrate in minutes, connect directly to your data sources, and ensure seamless compatibility with your MLOps stack.


Tailor dashboards, set up alerts, and define drift thresholds based on past trends, unique needs, and use cases. 

Code based metrics & monitoring

Harness precision through code-based monitoring, crafting custom metrics to meet your needs and optimize ML insights.

Notebook-like RCA with the whole team

Collaboratively investigate corrupt data pipelines, find root cause, and gain insights to swiftly resolve issues in production.

Built for growth

AI: Quicker, Better

ML teams uses Aporia to launch faster, adapt as they grow, and automate process to do more with less.

“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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