Deepchecks LLM Evaluation | Evaluate AI Progress with Know Your Agent | Deepchecks

Evaluate AI Progress with Know Your Agent

Deepchecks LLM Evaluation is an enterprise-grade AI testing, observability and monitoring platform that provides visibility, control, and trust across AI systems in production.

Agents

Evaluators

Version Comparison

Auto-Scoring

Datasets

Insights

Production Monitoring

Tracing

Deepchecks LLM Evaluation Platform

The term “LLM Evaluation” is often associated with isolated techniques or open-source tools, typically centered on LLM-as-a-judge approaches. These methods may support early experimentation, but they do not meet the requirements of production AI, where accuracy, consistency, governance, and ownership are critical. AI teams are left stitching together fragile infrastructure that is hard to trust and even harder to operate at scale.

At Deepchecks, LLM Evaluation is a production-grade platform that unifies evaluation, observability, testing, and monitoring, giving teams the visibility and control needed to trust AI systems in production.

Why Choose Deepchecks

Generative AI introduces a new class of quality problems that cannot be solved with simple rules or unit tests. Assessing whether an output is acceptable often requires expert judgment, deep context, and repeated review. This makes quality assurance slow, inconsistent, and fragile, especially as models, prompts, and workflows evolve.

Deepchecks is built to meet these requirements.

Compare versions of prompts, models, agents, & AI systems

Set up an auto-scoring pipeline, addressing nuanced constraints

Generate datasets and create LLM judges within minutes

Leverage auto-scoring for annotations and data slicing & dicing

Test LLM apps within the CI/CD and monitor them in production

5x

improvement of “time to production” for a new LLM app

70%

decrease in hallucinations and low-quality responses

15x

of versions compared before choosing the winner

Enterprise-Grade Security And Compliance

Enterprise-grade security and compliance are built into the platform from day one, ensuring AI systems can be evaluated, monitored, and operated safely in production. Deepchecks supports secure access controls, data isolation, and auditability to meet the requirements of regulated and security-conscious organizations.

Multiple Deployment Options to Accommodate Any Data Privacy Constraints

SaaS

Our fully managed multi-tenant SaaS offering provides the fastest path to production. Deepchecks handles infrastructure, upgrades, and scaling, so your teams can focus purely on LLM Evaluation.

Ideal for teams that want minimal operational overhead with enterprise-grade security and reliability.

Virtual Private Cloud

Deploy Deepchecks into your own cloud environment on GCP or Azure. This model provides strong network isolation and full control over data flows, while retaining the flexibility and scalability of your existing cloud infrastructure.

Bare Metal

For highly regulated industries or environments with strict data residency requirements, Deepchecks can be deployed on your own customer-managed cloud or on-prem servers. This provides maximum control over infrastructure, data access, and compliance, while retaining the full evaluation and monitoring capabilities of the platform.

AWS-Managed

AWS-managed deployment via the Amazon SageMaker Partner AI Apps, enabling LLM evaluation alongside production workloads on AWS with native alignment to Bedrock and SageMaker.

Selected Integrations