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The ML Observability
Platform for AI Products

Drive Responsible AI by
Achieve Responsible AI

Trusted by leading ML practitioners
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Users love Aporia on G2

4.8 out of 5 stars

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AI You Can Trust

We enable Responsible AI by tackling AI Hallucinations with Observability. 

Aporia helps companies certify that every AI product is transparent, compliant, and aligned with business goals.

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The Leading ML Observability Platform

Trust takes seconds to lose and months to regain. Gain peace-of-mind with Aporia's ML observability built for teams of all sizes.

ML Dashboards

Visualize & Share model performance

Get a unified view of all your models under a single hub. Keep an eye on model activity, inference trends, data behavior, model performance (f1 score, Precision, RMSE, etc).

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Live Alerts

Detect drift, bias & data integrity issues

Get live alerts to Slack / MS Teams on any drift, bias, performance, or data integrity issues.

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Production IR

Act when drift occurs

Being able to identify drift is the easy part. Using Aporia you can collaboratively investigate production events, for a quick resolution.

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Explainability

Explain model predictions

Discover which features impact your predictions the most, and easily communicate model results to key stakeholders

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Start Monitoring Your Models in Minutes

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Any model, Any use case

Each model owner can customize Aporia to their specific use-case to ensure your models stay on track and perform at their peak.

Custom Performance Metric
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Customer LTV

Monitor behavior patterns, segment customers, and take action accordingly to ensure that the customers you invest in generate revenue and profits.

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Dynamic Pricing

Boost sales and respond quickly to changes in market demand, inventory levels, and competitor pricing to ensure you’re not overpricing potential customers.

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Recommender Systems

Scale recommender systems in production. Drive more revenue, increase conversions and engagement, and enhance trust in your models’ recommendations.

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Lead Scoring

Ensure your Lead Scoring Model is providing its intended value so that you can nurture the leads that will actually lead your business to success.

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Churn Prediction

Win back customers by increasing retention rate and accurately predicting customer churn rate with

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Credit Risk

Ensure that your Credit Risk Model performs as intended so that you can rest easy knowing that your loans are compliant, fair, and repaid (with interest, of course).

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Fraud Detection

Ensure your Fraud Detection Model works as intended so that you keep the customers that generate your revenue and profit -- and ditch the bad eggs.

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Demand Forecasting

Improve your business's ability to capitalize on ever-changing demand and ensure that you aren't missing out on sales nor losing money on wasted inventory

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NLP

Ensure your Language Models are performing as intended with real-time model monitoring, live drift alerts, and explainability.

Integrates perfectly with your stack

Data Sources

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Amazon S3

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Glue

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Snowflake

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BigQuery

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Databricks

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Azure Blob Storage

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Redshift

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PostgreSQL

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Athena

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Delta Lake

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Spark

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Ray

DevOps Infrastructure Monitoring

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New Relic

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Grafana

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Prometheus

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DataDog

Cloud Providers

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Azure ML

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Vertex AI

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AWS Sagemaker

ML Frameworks

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TensorFlow

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LightGBM

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Hugging Face

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Scikit Learn

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PyTorch

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CatBoost

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Spark MLib

Alerting

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Slack

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Microsoft Teams

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Jira

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PagerDuty

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Opsgenie

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Email

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Webhook

MLOps - Complementary MLOps Tools

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MLFlow

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Kubeflow

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KServe

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DVC

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Feast

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Weights & Biases

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ClearML

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Loved By

See why Data Scientists, ML Engineers and Business Stakeholders love Aporia.

Aporia is a leader in AI & Machine Learning Operationalization on G2
Orr Shilon

ML Engineering Team Lead

“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

Aviram Cohen

VP R&D

“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

Guy Fighel

General Manager AIOps

“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

Daniel Sirota

Co-Founder | VP R&D

“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

Lukas Olson

Data Scientist

“We develop and deploy models that impact students' lives across the country, so it's crucial that we have good insight into model quality while ensuring data privacy. Aporia made it easy for us to monitor our models in production and conduct root cause analysis when we detect anomalous data."

Lukas Olson

Data Scientist

Carlos Leyson

Data Scientist

“As an early stage startup, starting to launch ML models in the fintech sector, monitoring the predictions and changes in our data is critical, and Aporia has made it easy by providing the right integrations and is easy to use."

Carlos Leyson

Data Scientist

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