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DeepChecks – Powerful ML Monitoring System

DeepChecks is the world’s most powerful ML monitoring system.

What is DeepChecks?

Many organizations spend millions of dollars building ML models, but don’t have a proper way to check if something is wrong with them.

Deepchecks is a QA platform that inspects the production data and models so that data science leaders have control over the quality of their machine learning systems.

Founders of DeepChecks

Philip Tannor & Shir Chorev

What’s Special About DeepChecks

* ML Validation of training data and ML model. Deepchecks automatically analyzes the data and the model, detecting potential pitfalls before the model is deployed into production.

* Observability of ML in production. Deepchecks provides a customizable dashboard, that enables you to view and explore all of the relevant real-time metrics related to your ML systems.

* Alerting about various issues in live ML systems. Deepchecks analyzes the inputs and outputs of your ML systems in real time, and alerts you about various issues related to data drift, data integrity, etc.

* Detecting mismatches between research and production environments. Deepchecks connects both to the training data and the production data, and notifies you about mismatches related to the data scheme, distributions, etc.

* Quick querying of problematic production data. Once an issue is detected, Deepchecks enables a one-click setup that enables running code on the relevant production data.

Scope of Improvement

ML Validation of training data and ML model
Observability of ML in production
Alerting about various issues in live ML systems
Detecting mismatches between research and production environments
Quick querying of problematic production data

DeepChecks Competitors/DeepChecks Alternatives

Fiddler.ai, Superwise, WhyLabs

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