Last updated 06-28-2026
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Deepchecks
Deepchecks LLM Evaluation is an enterprise platform for testing, observability, and monitoring AI systems in production. It gives ML and AI engineering teams visibility into LLM apps, agents, prompts, and model versions from development through deployment. Built for organizations that need governance and trust in production AI, not just one-off benchmark scores.\n\nThe platform unifies evaluation, testing, and production monitoring in one place rather than stitching together open-source judges and separate monitoring tools. You can compare prompt and model versions side by side, build auto-scoring pipelines, generate evaluation datasets, and run checks in CI/CD before shipping.\n\nIt is aimed at AI teams running RAG apps, agent workflows, and LLM products in production, especially in regulated or security-conscious environments. Deepchecks also maintains an open-source ML testing package on GitHub with 4K stars, separate from the commercial LLM Evaluation product.
Compare prompt, model, agent, and AI system versions side by side
Auto-scoring pipelines that handle nuanced output constraints
Generate datasets and spin up LLM judges within minutes
Test LLM apps in CI/CD, then monitor them in production
Production tracing, monitoring, and insights for deployed agents
Deploy as SaaS, VPC on GCP/Azure, bare metal, or AWS SageMaker Partner App
Integrates with LangChain, Amazon Bedrock, SageMaker, Datadog, and CrewAI
Unifies evaluation, observability, and production monitoring in one platform.
Multiple deployment models including VPC, on-prem, and AWS SageMaker Partner App.
SOC 2 Type 2, GDPR, and HIPAA compliance with SSO and AWS GovCloud support.
Open-source ML testing package on GitHub with 4K stars alongside the commercial product.
Integrates with LangChain, Amazon Bedrock, SageMaker, Datadog, and CrewAI.
No public pricing page; LLM Evaluation requires a demo or trial signup.
Enterprise focus and compliance features may be more than small teams need.
Commercial LLM Evaluation platform is separate from the open-source GitHub package.
Does Deepchecks offer a free trial?
Deepchecks offers a free trial for its LLM Evaluation platform, available by filling out a form on the website. The commercial product is separate from the open-source ML testing package on GitHub.
What deployment options does Deepchecks support?
Deepchecks supports fully managed SaaS, Virtual Private Cloud deployment on GCP or Azure, bare metal or on-prem servers, and AWS-managed deployment via Amazon SageMaker Partner AI Apps.
What integrations does Deepchecks support?
Deepchecks integrates with NVIDIA, AWS, Amazon Bedrock, Claude, OpenAI, Amazon SageMaker, LangChain, Datadog, and CrewAI, among other AI and observability tools.
Does Deepchecks support CI/CD for LLM testing?
Yes. Deepchecks supports CI/CD integration for LLM evaluation, including GitHub-based workflows for automating model validation, data drift checks, and performance monitoring before deployment.
What compliance certifications does Deepchecks have?
Deepchecks lists SOC 2 Type 2, GDPR, HIPAA compliance, single sign-on, and AWS GovCloud support as part of its enterprise security and compliance offering.
How do I contact Deepchecks?
You can reach Deepchecks by emailing [email protected] or filling out the contact form on deepchecks.com. The company responds within 48 hours.