What does Deepchecks do?

Deepchecks evaluates and monitors LLM applications and AI agents, and offers an open-source Python package that tests and validates machine learning models and data integrity throughout development, deployment, and production.

Who is Deepchecks best for?

Deepchecks is best for machine learning engineers, data scientists, and AI teams working on model validation, testing, and monitoring.

Do I need to install anything to use Deepchecks?

To use the open-source package, yes, install it with pip. The hosted platform is used through the web.

Is Deepchecks free to use?

Yes, the core Deepchecks testing package is open source and free to use. The hosted platform has a free trial and paid Scale and Enterprise plans.

Does Deepchecks offer a free trial or demo?

Yes, Deepchecks offers a free trial of its LLM evaluation platform (Basic plan) and a demo on request.

Does Deepchecks have a plan for teams or businesses?

Yes, the Scale and Enterprise plans add more seats and AI applications, premium support and compliance; private, VPC and bare-metal deployments are available.

Does Deepchecks offer an API or integrations?

Deepchecks integrates with CI/CD and LLMOps pipelines and is available on AWS Marketplace and natively on AWS SageMaker AI.

How do I contact Deepchecks support?

Use the Contact Us page on deepchecks.com or the documentation and GitHub repository for the open-source package.

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Deepchecks

AI Infrastructure & MLOps

Deepchecks is an LLM and AI agent evaluation platform with an open-source testing package, now part of Check Point, for validating data, models and AI applications from development to production.

Available Via:WebAPI

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Deepchecks is an evaluation and monitoring platform for LLM applications and AI agents, alongside its original open-source Python package for testing machine learning data and models. In 2026 the Deepchecks team and technology were acquired by Check Point to support AI security and agent validation.

Key capabilities include:

LLM and agent evaluation with prompt-based metrics, multi-lingual support and production monitoring per AI application
Data integrity and train-test validation checks in the open-source package (conflicting labels, feature drift, data leakage)
Model evaluation checks including analysis of weak segments
Flexible deployment: cloud-hosted, private cloud (VPC), bare metal, or an AWS SageMaker / AWS Marketplace option

Pricing: Freemium. The open-source package is free. The hosted platform lists Basic (free trial, up to 3 seats, 1 AI application, 5K DPUs/month), Scale and Enterprise plans; Scale and Enterprise are by request. Check deepchecks.com for current terms.

Notable for being open source and available on PyPI with results viewable in Jupyter notebooks, plus CI/CD integration for continuous evaluation.

Frequently Asked Questions About Deepchecks

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Deepchecks

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Frequently Asked Questions About Deepchecks

What does Deepchecks do?

Who is Deepchecks best for?

Do I need to install anything to use Deepchecks?

Is Deepchecks free to use?

Does Deepchecks offer a free trial or demo?

Does Deepchecks have a plan for teams or businesses?

Does Deepchecks offer an API or integrations?

How do I contact Deepchecks support?

Do more with Deepchecks

Products similar to Deepchecks

Products similar to Deepchecks

Recent Reviews for Deepchecks